-
Solved conflict between diversity and segment coordinates (per population), used in LFP setups
-
Added extracellular stimulation (option: without compiling an additional .mod file - large memory requirements-)
-
Update of documentation (stimSourceParams and stimTargetParams) incorporating how to define extracellular stimulations
New features
-
Introducing
batchtools
subpackage for parameters exploration and optimization -
Added progress-bar indicating network creation progress. Toggle the progress bar with cfg.progressBar
-
cfg.connRandomSecFromList and cfg.distributeSynsUniformly can now be overriden in individual conn rule
-
Added ability to use
sec
,loc
,preSec
andpreLoc
from list in connList-type connParams -
Updated tests.examples.utils to allow for dynamic pathing
-
Dropped python2 support
Bug fixes
-
Better handling of exceptions in
importCellParams()
(incl.h.load_file()
- issue 782) -
Pandas deprecated parameter fix
-
Fixed pointer id overflow on MPI (e.g. for gap junctions)
-
preSec and preLoc are no longer lost for inverse pointer connection
-
Fixed crash due to use of matplotlib.TextArea deprecated param (credit: Christian O'Reilly)
-
syncLines in rasterPlot restored
-
Fixed a bug in
gatherDataFromFiles()
where cellGids for node 0 were lost -
Fixed generating rhythmic spiking pattern with 'uniform' option
-
Fixed misleading console output when cfg.recordStims is On
-
The colors in CSD plots are now properly aligned vertically with the CSD time-series overlays (credit: Sam Neymotin)
-
Update mkdir to makedirs (credit: Jacob Sprouse)
New features
-
Raster plot colored by phase
-
Examples based on the CA3 model using the 'colorbyPhase' option in the plotRaster
-
API for loading .mod files selectively
-
Ability to specify custom executor to run batch with (defaults to
sh
)
Bug fixes
-
Fixed loading point cell params from legacy models (issue 607)
-
Fix voltage movie tutorial
-
Fix to automatically include netstims in the sim.allSimData object when plotRaster 'include' selects 'all'
-
Fixed loading netParams in some scenarios (bug caused by srting functions pre-processing)
-
Fix of
plotRaster
pops coloring if ordered not by gid -
Made cells diversity work with popParams based on
cellsList
andgridSpacing
-
Fixed handling of output of
sim.create()
- was wrong order (credit: Kate Doxey) -
Fixed undeclared var
dpi
inplotShape()
-
Fixes in batch utils
-
Added some missing math functions to use with 'Functions as string' functionality
-
Switch file copying method to shutil to be compatible over all operating systems (credit: Henrik Podeus)
New features
-
Time series and PSD plots for current source density (CSD)
-
Added colorbar to CSD plot
-
Support for Sun Grid Engine HPC
-
Extended sim.gatherData() with more optional arguments for flexibility
-
Specify linear/log scale in
plotRatePSD()
-
Print more info about exceptions in plotting functions
-
Check RxD specification for potential syntax issues
-
Prevent zero population size in scaled-down models
-
Better messages for validation errors
Bug fixes
-
Fixed errors in plotting with sim.cfg.gatherOnlySimData=True
-
Support saving and loading data in .mat and .hdf5 formats
-
Multiple fixes in
plotRatePSD()
- popColors, fft, minFreq -
Fixed sync lines in
plotRaster()
-
Fixed performance issue in
plotConn()
withgroupBy='pop'
(default) -
Fixed
recordTraces
to not require more presicion than segment size (for stim and synMech)
Bug fixes
- Unpin matplotlib version (params copying issue fixed)
New features
- Added env variable to define head model placement
New features
-
Added 'linewidth' as argument of plotting.plotSpikeHist()
-
More detailed validation of netParams
-
Save and load model in native NetPyNE format
-
Converted most of examples to new NetPyNE model structure
-
Complex stimulation ('rhythmic', 'evoked', 'poisson' and 'gauss') for VecStim created as pointCell (as a population rule)
-
Codebase brought into compliance with PEP8 conventions
-
Updates in NeuroML examples and tests
Bug fixes
-
fixed handling filenames with multiple dots in
MetaFigure.saveFig()
-
Fixed readCmdLimeArgs() default arguments for backward-compatibility
-
Cleaned up example models to drop some legacy/irrelevant params
-
RxD module: Parameters defined before reactions + names given by default when missing (by the key)
-
Analysis: try ... except call in plotDipole
-
Save hObj of gap junction to connParams
-
Removed duplicated or unused code from gridSearch()
-
Fixes in batch utilities to make OS-agnostic
-
Hotfix to support new GUI functionality (fixes in grid parameter optimization)
-
Removed redundant warnings
New features
- Added ability to load PointCell from saved network
Bug fixes
-
Fixed bug with loading CompartCell with custom mechanisms from saved network
-
Fixed bug with accessing proper sim data file during batch parameters optimization
-
Fixed bug where most batch optimization methods used to misname simulation output file
-
Fixed bug in pop.py: "gridSpacing" is in the list of excludeTags
-
Fixed bug in network.py: in the list "stimStringFuncParams" --> 'del' instead of 'delay', and removed 'i'
-
Fixed bug in conn.py: included "params['preSec'] = connParam.get('preSec')" in gapJunctions
-
Fixed bug in stim.py: 'Loc' with capital letter, for making 'synMechLocFactor'
-
Fixed some misinformation in reference.rst about the subconn
-
Fixed bug in dipole calculation units - changed from mA to uA
-
Fixed bug in conditional logic when gathering LFP / dipoles
-
Allow tuples to specify population's cells in 'include' for plotSpike
-
Cleaned up optuna optim tutorial
New features
-
Added axis sharing and twinning capability
-
Updated metadata with dipole specs
-
Updated some LFP examples
-
Added clearAll argument to sim.create()
-
Changed ordering of documentation to “by source”
Bug fixes
-
Fixed bug in plotting when overlaying axis
-
Fixed bug with syncLines option in plotter
-
Fixed bugs in MultiFigs (2D subplots, bug in LFP with multi axis)
-
Fixed bug in checkAvailablePlots()
-
Fixed gathering dipoleSum and LFPPops data from nodes
New features
-
Added back the syncLines argument to plotRaster()
-
Updated conversion to/from NeuroML 2
-
Added RxD-based spreading depression example model
Bug fixes
- Avoid exception in plotSpikeHist() and plotSpikeFreq() when pop has no spikes
New features
-
Added new plotting module with custom plotters
-
Separated analysis.plotSpikeRaster into analysis.prepareRaster and plotting.plotRaster
-
Separated analysis.plotSpikeHist into analysis.prepareSpikeData, analysis.prepareSpikeHist, plotting.plotSpikeHist and plotting.plotSpikeFreq
-
Separated analysis.plotLFP into analysis.prepareLFP, analysis.preparePSD, analysis.prepareSpectrogram, plotting.plotLFPTimeSeries, plotting.plotLFPPSD, plotting.plotLFPSpectrogram, and plotting.plotLFPLocations
-
Mapped old analysis.plots onto new ones
-
Interfaced with LFPkit to enable recording/plotting of dipole current moments and EEG signals
-
Added Current Source Density (CSD) analysis and plots
-
Enabled selecting a subset of cells to save individual LFP signal from via cfg.saveLFPCells = [...]
-
Added cfg.saveLFPPops to store LFP generated individually by each population
-
Function to return batch parameter combinations (used for GUI)
-
Added jupyter nb tutorials
-
Added hippocampus CA3 model example
-
Updated SONATA importing
-
Improved distributed saving and interval saving (more robust)
-
Added mapping of netParams values within cfg (used for batch sims in GUI)
-
Extended Action tests to pull requests (not just push)
Bug fixes
-
Fixed setting cfgMapping nested params when not string
-
Fixed defineCellShapes when sec['hObj'] is not a h.Section()
-
Fixed bug when using lognormal in string functions
-
Added rxdmath to avoid RxD error
-
Fixed bug in Tutorial 8 (batch)
-
When saving to JSON wait until file exists before returning (to avoid exiting before saving finished)
New features
-
Added function to get list of batch grid search parameter combinations
-
Save output of mpi_bulletin batches to .run and .err files
-
Fixed bug in loading exotic stim param values
-
Fixed bug in loading where sim was required to have rank attribute
-
Added quotes in batch.py to avoid path white spaces issue
- Release for use with GUI
New features
-
Added guiBlack and guiWhite themes, streamlined theming
-
Updated iplots to avoid Bokeh deprecation
New features
-
Added wrapper for distributed saving; can now simply replace 'sim.gatherData()' with 'sim.gatherDataFromNodes()'
-
Added distributed saving/loading ability (save/load data by MPI node)
-
Allowed to specify 'cellModel' and point neuron params in netParams.cellParams (not only in netParams.popParams)
-
Added cellsVisualizationSpacingMultiplier property to netParams
-
Improved Granger plot, renamed it plotGranger
-
Added interactive Granger plot (iplotGranger)
-
Implemented testing in GitHub Actions with pytest (thanks Daniel!)
-
Improved sim.clearAll such that it works even before a sim is run
-
Properly formatted all module docstrings
Bug fixes
-
Fixed bug in TupleToStr function
-
Fixed broken links in tutorials
-
Bokeh update required changing options from None to 'auto'
Bug fixes
- Fixed gathering of dipoles when running on multiple cores (uncommented lines that had been commented for debugging)
New features
-
Plot current source density (CSD) from local field potential (LFP) simulated data
-
Additional customization of 3D shape plot: show voltage as color, change proportions, include axis labels
-
Enable modifyConns based on properties of presynaptic neurons
-
Replaced -np with -n so compatible for all commands: mpiexec/mpirun/srun
-
Updated netrxd.py and network.py to include RxD's Parameter class, naming of States and Regions, and specification of Region geometries that do not require arguments like 'membrane' and 'inside'
-
Improved recordTraces such that the cond 'gid' can accept a list of numbers as well as a single number
-
Added a new tutorial going through use of NetPyNE with virtual environments and Jupyter notebooks
-
Added cfg.use_fast_imem to enable recording membrane voltage via seg.i_membrane_
-
Added swc import ability to importCell (and thus importCellParams)
-
Batch now polls processes, prints their output and terminates them once completed
-
Updated web documentation to explain importing SWC files and add Recording Configuration section
-
Added link to Jupyter notebook tutorial and video to website front page
Bug fixes
-
Made rate_b be positional instead of keyword argument in rxd multiCompartmentReaction
-
Check if _morphSegCoords exists in population before using
-
Fixed bug to avoid recursive creating of synMechs when loading with cfg.oneSynPerNetcon=True
-
Fixed an issue with running rxd code twice
-
Wait until all subprocesses have ended before completing mpi_bulletin batches
-
Fixed repeated rxd simulation issue for rates and reactions
-
Fixed pointNeuron spikePattern 'sync' option
New features
-
analysis.plotLFP can now be applied to external data
-
Evolutionary and Optuna optimization can now read results from .pkl files
-
Enabled recording of stimulus variables (e.g. SEClamp i)
-
Added options in load func to avoid instantiating cells, conns, stims and/or rxd
-
Analysis and plotting of rate vs current (f-I) curve for single cell tuning
-
Recording and plotting of current dipoles in arbitrary subset of populations
-
Added option to plot LFP spectrogram with log y-axis
-
Added option to plot the log of connectivity in plotConn
-
Enabled random distribution of multiple synapses with synsPerConn>1 and connRandomSecFromList=True
-
Added lineWidth option to plot2Dnet (thanks Eric!)
-
Updated Travis Continuous Integration to use NEURON 7.8.1 (from 7.6.2)
-
Removed trailing white space from all Python files in the repository
Bug fixes
-
Fixed bug when using index with recordTraces
-
Fixed axes values in plotRxDConcentration and iplotRxDConcentration
-
Added links to necessary mod files in the importing cell models tutorial
-
Added aux_fun.inc to doc/source/code/mod as it's needed for some examples
-
Blocked terminal output from Git when no repository is found (i.e. with pip install netpyne)
-
Avoid adding section-based weightNorm values to point neurons (was affecting tut_import.py)
-
Prevent error when loading pointCell params from json by converting Dict to dict
-
Fixed bug in plotShape (thanks Eric!)
-
Updated setup.py so PyPI website renders the README as markdown
-
Fixed expected numSpikes in test of M1detailed example
-
Merged GUI branch into development branch
-
Fixed bug in iplotConn
-
Fixed bug and coloring in iplotSpikeStats with different themes
New features
-
Added optimization using Optuna (optuna.org)
-
Simplified cellParams to use dict key as 'cellType' and make 'conds' optional
-
Added netParams method addCellParamsTemplate() to create predefined cell templates
-
Calculation of population avg rates now accepts multiple time intervals
-
Optional index argument to record from synMech
-
Added scale bar location option to plotTraces scalebar
-
Added evolutionary optimization for cell
-
Added support for reading pkl files in evol batches
-
Added plotfI func to netpyne
-
Added calculation of fI to gather.py
-
Added module imports to netpyne import
-
Added adaptive stochastic descent (ASD)
-
Added ability to set theme and palette for iplots
-
Added netParams method addCellParamsTemplate() to create predefined cell templates
-
Added sizing-mode to iplots
-
Added Bokeh to NetPyNE requirements
-
Added theme for gui to analysis/utils, iplots can now use custom theme
-
Added t variable to plotLFP output data
-
Cleaned up plotRxD, added saving, added plot options, scalebar
-
Added interactive plot: iplotRxDConcentration
-
Added interactive plot: iplot2Dnet
-
Added interactive plot: iplotRatePSD
-
Added interactive plot: iplotSpikeStats
-
Cleaned up iplotLFP and improved color-handling with themes
Documentation improvements
-
Updated and tested online tutorials
-
Changed all triple single-quoted docstrings to triple double-quoted
-
Improved many docstrings
-
Created a complete package index (http://netpyne.org/package_index.html) which is automatically generated from the human-readable docstrings in the codebase
-
Documented the process to release a new version and automated the html building process
-
Removed old unused Makefile for docs
Bug fixes
-
Fixed bug importing cells (avoid reading docstring)
-
Fixed bug when recording LFP with recordStep <1.0ms
-
Fixed net_lfp.py example
-
Fixed bug in plotSpikeStats
-
Fixed bug in plotSpikeHist
-
Fixed bugs in plotTraces scalebar
-
Fixed travis test issues
-
Fixed tut3 travis issue
-
Fixed bug in spikes.py
-
Fixed bug in plotRaster
-
Fix minor bug in iplotRaster()
-
Fixed problems with NeuroML
-
Added useful hover information to iplots
-
Improvements to iplotTraces
-
Added interactive plot for connectivity (iplotConn)
-
Added 'dynamicRates' option for NetStim populations
-
Added option to have a uniform distribution of rates for Vecstim pulses
-
Added function for distributed saving at intervals
-
Added issue templates for GitHub
-
Overhaul of contribution guide (CONTRIBUTING.md)
-
Improved documentation
-
Fixed bugs and improved exception handling in plotConn
-
Fixed loadSave V1 example model
-
Fixed bug calculating popRates when no spikes
-
Fixed bug in _distributeSynsUniformly()
-
Fixed bug in saveCellParamsRule()
-
Fixed bug in batch.py: initCfg params were not being updated for evol optim
-
Fixed bug in subconn.py: missing initialization of newWeightNorm
-
Fixed bug in run.py: print run time with 2 significant figures
-
Fixed output stat filenames of evolutionary optim: .cvs to .csv
-
Fixed bug in interval saving
-
Fixed bug in spikes.py in plotSpikeStats
-
Print start and end date/time
-
Avoid removing batch folder so can rerun and complete batch simulations
-
Added loadBalance option to print individual node computer times
-
Initialize hoc events recursivley to reduce event queue overhead
-
Added plotRateSpectrogram analysis function
-
Added option to save at intervals
-
Fixed bug: wrong indentation for initializing fixedInterval in batch.py
-
Fixed bug in _distributeSynsUniformly function
-
Fixed bug in subConnParams grouped synapses
-
Fixed bug in analysis.granger figure save name
-
Fixed bug in printRunTime function
-
Added option to avoid creating connections with weight=0
-
Made recording of dipoles optional with attribute cfg.recordDipoles
-
Rotated conn matrix x-axis labels so can fit large matrices
-
Added 'removeWeightNorm' argument to plotConn() function
-
Added cfg option 'oneSynPerNetcon' to conn rules to create one synapse object per Netcon
-
Added first version of Contributors Guide
-
Fixed file write permissions for evol optim batches
-
Fixed bug calculating normally distributed rhythmic inputs - was using variance instead of std
-
Fixed bug in iplotDipole when smoothing window size = 0
-
Fixed bug in plotSpikeStats pop order
-
Fixed bug is plots with scalebars
-
Fixed bug in grid lines of plotConn
-
Fixed bug in subConnParams by sorting conns to ensure reproducibility on different number of cores
-
Fixed bug so uses 'Agg' backend if no display env variable e.g. in clusters
-
Replaced deprecated imp module with importlib
-
Fix to cellsGrid cell locations with normRange
-
Improved conversion from SONATA format, including 300 biophys cell example
-
Added saveCellConns, pt3dRelativeToCellLocation and invertedYCoord cfg options
-
Added lineWidth as argument of plotRatePSD() and plotLFP()
-
Modified plotLFP and plotRatePSD to use Morlet wavelet for PSD calculation
-
Added lineWidth argument to some raster and LFP plots
-
Added shuffling test to granger causality functions
-
Fixed bug plotting traces with one fig per trace
-
Fixed bug in granger functions - required conversion to int
-
Fixed bug in plotShape when cells sections not available
-
Return meaningful cell info via 'repr' and 'str' for pointCell, compartCell
-
Fixed spelling typos in documentation
-
Support for saving simulation at intervals
-
Improved Python cell template import so can read section names from a Python list or dict of sections
-
Fixed replicability issue across different number of cores when using 'connList' connectivity rules
-
Improved speed performance of 'connList' connectivity rules
-
Added option cfg.distributeSynsUniformly to locate synapses at uniformly across section list; if false, place one syn per section in section list
-
Updated RxD calcium buffering example
-
Added netClamp example to re-simulate activity of single cell from network data
-
Added support for recording and plotting variable time step
-
Replaced spectrogram FFT method with Morlet wavelet method
-
Updated installation instructions
-
Added 'fontSize' argument to several plots
-
Fixed issue completing batches in Python 3
-
Fixed bug saving evolutionary optimization batch output file
-
Fixed bug in plotShape()
-
Fixed bug in plotSpikeStats()
-
Fixed bug loading files with colons
-
Fixed issue sorting raster by population and y coord
- Removed deprecated hold function from plotConn
- Set 'pandas==0.23.4' to avoid error
- Fixed minor bug - axis font size changed from 12 to 2 by accident (change required for NetPyNE-UI)
-
Updates to NeuroML converter
-
Add scalebar to rxd concentration plot
-
Fixed bug so comparisons to basestring work in Python 2 and 3
-
Fixed bug in string-based functions representation in GUI
-
Added support for reaction-diffusion (RxD) and usage examples
-
Improved performanced (speed) of connectivity algorithms
-
Major code refactor to split functions across modules and subpackages
-
Switched to Python 3 as the default development environment
-
Optimized implementation of raster and spikeHist plotting using Pandas
-
Added support for recording spikes from only a subset of cells using e.g. cfg.recordCellsSpikes = ['E2']
-
Support for exporting to SONATA standardized network format (Beta)
-
Support for Human Neocortical Neurosolver (HNN) dipole mechanisms
-
Added option for filename to saveData()
-
Removed pop cellModelClass when saving
-
Removed cell h object keys when saving
-
Added support for evolutionary algorithm optimization (via Inspyred) and usage example
-
cfg.popAvgRates now accepts a time range to calculate rates (e.g. to discard initial period)
-
All NEURON objects now accessible via ['hObj'] key within Python network structure
-
Fixed bug in batch to allow having only grouped params
-
Fixed bug initalizing batch 'mpi_bulletin' and batch tutorial example
-
Fixed bug: removed '_labelid' from netParams when saving
-
Fixed bug: made self.scaleConnWeightModels False when not used (avoids saving weird dict in json)
-
Fixed bug in Pickle file encoding so works in Python3
-
Fixed bug in convergence and divergence conn when repicking a value if postGid=preGid is randomly selected
-
Fixed bug in rand initialization for string-based func with div conn
-
Fixed issue in probabilistic connectivity random number generation to ensure replicability in Python 2 and 3.
NOTE on backward replicability: Due to several performance improvements and bug fixes to ensure future replicability in both Python 2 and 3, it won't be possible to replicate results of previous versions.
-
Extended metadata structure to interact with NetPyNE-UI
-
Added preliminary data structures to support NEURON RxD
-
Added plot RxD concentration to analysis
-
Added netParams.correctBorder to compensate distance-dependent connectivity border effect
-
Added option to run jobs directly on multiple mpi cores via Batch class
-
Added option for custom text in PBS or SLURM scripts to submit batch jobs
-
Added option to filter LFP signal before ploting PSD
-
Convert 'gid' to actual cell gid when used in point process params (useful for random seeds)
-
Relaxed pyneuroml requirement so just shows a warning message
-
Preliminary function to save conns distributedly using HDF5
-
Added function to validate string-based expressions
-
Fixed bug: removed cell._segCoords and pop._morphSegCoords before saving to file
-
Fixed rasterPlot pop label automated spacing
-
Fixed bug: removed pandas requirement from LFP electrode module
-
Fixed bug: updated rcParams text.fontsize to font.size
-
Fixed bug: missing update of list-based loc in connList connections
-
Fixed bug: delete sections after import cell only if section exists
-
Added netParams.rotateCellsRandomly option to rotate cells randomly around y-axis
-
Added netParams.defineCellShapes option to convert stylized cell geometries to 3d points
-
Added 'histogram' option to plotSpikeStats
-
Improved shapePlot so generates 3d pts for stylized morphs and plots all cells by default
-
Added showElectrodes and bkgColor options to shapePlot
-
Adapted so can set cfg.createPyStruct=0 before creating conns to save memory on large nets
-
Added option cfg.connRandomSecFromList=True to set if sec and loc are randomly chosen from list when synsPerConn=1
-
Added cfg.printSynsAfterRule to print total connections after each conn rule is applied
-
Fixed bug to ensure VecStim random streams are independent of simulation duration
-
Fixed bug calculating avg pop rate in plotRaster when using subsets of pops
-
Fixed bug LFP recording only applied to compartmental cells
-
Fixed bug when using conn 'threshold' in verbose -- removed all since has no effect
-
Fixed bug when deleting sections -- needed sec.push() before
-
Fixed bug in shapePlot figSize option
-
Fixed format of git changeset stored -- removed 'g' prefix
-
Fixed bug in Windows trying to get git changeset
-
Fixed bug gathering LFP data
-
Fixed bug importing global v_init from multiple cell files
-
Fixed bug so gitChangeset() returns to orig folder even when git not installed
-
Fixed bugs in plotConn -- missing rounding func and grouping by y interval
-
Added LFP recording at arbitrary 3D locations
-
Added plotting of LFP time series, PSD, freq vs time and electrode locations
-
Updates to NeuroML conversion code.
-
ShapePlot now shows segment diameters as linewidths (Python version)
-
Added function to add 3D points (in NEURON+Python) from stylized geometry
-
Connection sec and loc randomly chosen from list when synsPerConn=1
-
Set default NetStim noise to 0.0
-
Fix synMech overwrite when importing multiple hoc/py cell templates
-
Fixed bug importing multiple synMechs from hoc/py cell template
-
Fixed bug using 'variable' NetStim (NSLOC)
-
Fixed save method in NetParams to use ['net']['params']
-
Fixed bug using gap junctions with mpi (multiple cores)
-
Fixed bug when creating conns afger loading json -- needed basestring instead of str
-
Fixed bug when loading json with include format ('pop', 1) -- converted to list so added exception
-
Fixed bug saving to .mat during batch sims
-
Fixed bug in order of unique cell gids in analysis funcs 'include' param
-
Fixed bug gathering data using the cfg.gatherSimOnlyData option
-
Fixed bug where empty sections where created when recording from non-existing sections
-
Added option to order raster spike trains by multipe tags (eg. ['pop', 'y'])
-
Enable providing a 2D list of spike times to VecStim populations
-
Added exception handling to analysis functions
-
Updated saveLoadV1 examples to use compactConnFormat=True and saveCellSecs=False
-
Added cfg.rand123GlobalIndex to set global index used by all instances of the Random123 instances of Random
-
plotTraces now plots any recorded cells if 'include' is None
-
Made CVode object part of sim and simplified cvode calls
-
Added sim.rename() wrapper function
-
Added rename() method to dict class
-
Fixed bug loading from compactConnFormat
-
Fixed bug in IClamp: 'delay' -> 'del'
-
Fixed bug calculating min convergece and divergence
-
Fixed bug in plotRatePSD colors
-
Improved NeuroML conversion support
-
Make cfg.checkErrors = True by default, but set to False if using multiple cores or batch
-
Added methods to rename netParams dict keys in a nested format (needed for GUI)
-
Added analysis.plotSpikeStats() func to plot stats of cell rates, ISI CVs and synchronies
-
Added analysis.calculateRate() func to calculate avg and peak rate of pop subset at time range
-
Added analysis.plotRates() func to plot avg and peak rate of different pop subsets at time range
-
Added option to include list of pops or cells in 'include' arguments e.g. include=[['E4','E2'], [1,3]]
-
Added cfg.compactConnFormat option to replace conns dict format with compact list format
-
Added option to plotConn() and plot2Dnet() to load data from compact format json files
-
Adapted python2 code so conversion to python3 via 2to3 command works straight away
-
Added 'instantiate' argument to sim.load function
-
Added 'dpi' argument to analysis.plotSpikeHist()
-
Replaced init()/h.stdinit() with finitialize() so h.v_init and h.dt get set properly
-
Removed call to h.stdrun() but made v_init a global in cfg.hParams and initialized h.tstop to cfg.duration
-
Fixed bug setting globals that don't exist
-
Fixed issue setting global variables when loading from json
-
Fixed issue to make convergence+divergence connections randomization more robust and efficient (issue #254)
-
Fixed bug in colors of plotSpikeHist
-
Fixed bug in replaceDictODict() that lead to wrong results when importing cells
-
Fixed bug when using sim.gatherOnlySimData
-
Fixed bugs in saveLoadV1 example
-
Fixed bug when generating subConn with createNEURONObj=False
-
Added polarity param to analysis.plotEPSPAmp()
-
Added sim.gitChangeset() function and store netpyne_changeset in every output file
-
Added function ijsonLoad() to load faster and save tags conns to json
-
Fixed bug in convergence and divergence connectivity -- now fixed number and no self conns
-
Fixed bug by converting tuples to strings when saving Matlab; now converts to lists
-
Fixed bug use int as argument to np.full in fixedInterval variable
-
Fixed bug that removed previously existing element from path during importCellParams()
-
Option to create section lists based on y displacement from soma (addCellParamsSecList)
-
Converted popParams, cellParams etc to object of their own class and added method to set param
-
Added 'disynapticBias' option to increase probability of B->C conns if A->B and A->C exist
-
Added function analysis.calculateDisynaptic() to count number of disynaptic conns (A->B, B->C and A->C)
-
Added 1 second between batch job submission to avoid saturating scheduler
-
Fixed bug: init randomizer so params with string-based random func are independent of cores
-
Fixed bug for newer pyplot versions: replace 'linewidths' with 'lw'
-
Improved NeuroML importing/exporting
-
Added error checking for simConfig
-
Added popColors option to plotSpikeHist and plotRatePSD
-
Added support to load params, cfg, net and simData from .mat files
-
Made root section (with no parents) the source of spikes by default (issue #246)
-
Added option to set initial cfg in batch sims
-
Added option to set grouped params in Batch constructor
-
Added option to not record time (to reduce output file size)
-
Fixed bug: synMechFraction had no effect; replaced with synMechWeightFactor
-
Fixed bug in modifyStims for NetStim 'interval' and 'rate'
-
Fixed bug importing cell -- use h.pop_section() to avoid stack overflow
-
Fixed bug when adding stim NetStim where sec is a list
-
Fixed bug when adding stim NetStim with multiple synMechs and synsPerConn>1
-
Updates and bug fixes of NeuroML importer/exporter
-
Added missing error checks and made error messages clearer
-
Added warning when point process mechanism (eg. VecStim) required for pop is not found
-
Added 'ylim' option to plotTraces
-
Changed 'postGid' to 'gid' in conditions of recordTraces
-
Fixed bug: threshold in conns has no effect, have to use presyn cell threshold (issue #235)
-
Fixed bug: avoid saving 't' multiple times when using multiple nodes
-
Fixed bug: removed 'propList' param in list - was replaced by 'label'
-
Fixed bug distributing cells of population with cellList (issue #235)
-
Fixed bug saving to .mat: removed h.Random object from each pop
-
Fixed bug: check if checkErrors exists in cfg before checking value
-
Fixed bug importing multiple hoc cells consecutively (removed from memory properly)
IMPORTANT NOTE: NO BACKWARD REPRODUCIBILITY -- due to improvements in the random number generators it won't be possible to reproduce results of previous versions that required random values, e.g. random spike streams, connections or cell locations.
-
Replaced python random package methods with more robust h.Random() methods (no backward reproducibility)
-
Added netParams error checking (BETA version: set cfg.checkErrors = True to test)
-
Enabled use of VecStim spkTimes pops with individual list of cells
-
Replaced 'pop' with 'popLabel' (added fix for backward compatibility) (issue #213)
-
Can now add arbitrary set of spike times to VecStim pop
-
Dict with popColors can be passed to plotRaster() and plot2Dnet()
-
Added analysis.plotEPSPAmp()
-
readCmdLineArgs() now accepts default paths for cfg and netParams
-
Added option to customize command in batch hpc runs (e.g. 'mpirun' vs 'ibrun')
-
Added dpi param to plotRaster()
-
Added recording of h.t to simData
-
Replaced ions 'init_ext_conc' and 'init_int_conc' with 'o' and 'i' (issue #151)
-
Replaced 'globs' with 'globals'
-
Fixed bug in import of ion concentrations
-
Fixed bug in title of plotTraces()
-
Fixed bug when setting wrong num of weights or locs for synsPerConn>1
-
Fixed bug: subConn rules now update weight if different weightNorm
-
Fixed bug: missing call to noiseFromRandom() for NetStims
-
Fixed bug setting pop density with absoulute location ranges
-
Fixed missing NeuroML message so only appears in master node
-
Fixed bug in plotConn
-
Fixed bug - stimTargetParams now accepts a list of secs for 'sec' param
-
Improved support for NeuroML export
-
Added option to skip batch job based on custom existing job filename (eg. 'skipCustom': '.run')
-
Added option to specify netParams .py file for batch
-
Modified hpc_torque batch to accept nodes and ppn
-
New option to import cell with sections not inside an object
-
plotShape now shows real diameters in interviews by default
-
Added option to set threshold when loading weightNorm
-
Added support for conditions on recordTraces
-
Fixed bug plotting NetStims (created as stims) in raster, spikeHist and ratePSD
-
Fixed bug in plotConn bar graphs
-
Fixed bug: missing hRandom for NetStim populations
-
Fixed bug: use Random123() instead of netstim.noiseFromRandom for NetStim stims
-
Fixed bug: VectStim spike generation now reproducible for different durations
-
Fixed bug in batch grouped params
-
Fixed bug: getCellsList() only checked for tuples but when load from json converted to list
-
Fixed bug so cell treshold is set by default to sim.net.defaultThreshold
-
Fixed bug plotting overlayed spikeHist over raster plot
-
Fixed bug in plotShape when includeAxon=False
-
Keep track of last host after distributing cells of each pop (improves load balance) (issues #41 #196)
-
Added option to run batch on HPC SLURM system (eg. SDSC Comet)
-
Added cvode_atol option to cfg
-
Improved plotShape() to use matplotlib and use colormap to show num syns
-
Batch params can now have an arbitrary number of levels in structure (eg. dict of list of dicts etc)
-
Batch params can now be grouped ('group':True) so values vary together not combinatorally
-
Removed pc.done() at the end of Batch.run() method so can run multiple batches from same script
-
Added skipCfg option to batch
-
Added cfg.saveCellSecs option to reduce save time and file size (secs available via netParams)
-
Added cfg.saveCellConns option to reduce save time and file size
-
Modified code so 'cellModel' tag is optional
-
Added renameCellParamsSec() method to netParams class
-
When importing cell global 'v_init' is stored as param for each section
-
Fixed small bugs when loading saved model
-
Fixed bug when calling internal method _findPrePostCellsCondition()
-
Fixed bug in subcellConn groupedSynMechs
-
Fixed bug in subcellConn trying to add stims+conns to NetStims/VecStims
-
Fixed bug in subcellConn so syns are not placed at loc 0.0 or 1.0 (error if syn uses ion)
-
Added gridSpacing option to create populations with cells placed in grid with fixed spacing
-
Added netParams functions: addCellParamsWeightNorm(), saveCellParamsRule() and loadCellParamsRule()
-
Added option to importCell based on instantiated cell (not just template or class)
-
Modified importCellParams to store mod mechanism global variables in cellRule['globals']
-
Added support to export gap junctions to NeuroML
-
Fixed bug during import that set section name to 'soma' if only 1 section
-
Batch parameters can now include list or dict items
-
Added 'weightNorm' param to sections so can normalize weight based on dendritic location
-
Import cell function now has somaAtOrigin option to place the cell soma at coords 0,0,0
-
Go back to using NetStim.noiseFromRandom, since noiseFromRandom123() only available in very recent versions
-
Fixed bug in saveData option of figure plots
-
Fixed bug passing figSize param to figures
-
Fixed bug where gid only updated if cellParam rules were applied to the cell
-
Fixed bug in importCell by deleting imported modules from sys.modules
-
Fixed bug that prevented NetStim random noise generator from being initialized
-
Added support for artificial cells (without sections) (issue #44)
-
A single NetStim (within a population) can now be connected to multiple cells (issue #113)
-
VecStim populations use same params as NetStims and allows for pulses at arbitrary times with different rates
-
NetStim and VecStim population allow for a uniformly distributed rates in the form [min,max]
-
Added option to run batch sims via mpi and bulletin board (master/slave) (issue #108)
-
netParams.shape paramter to select either 'cuboid', 'cylinder' or 'ellipsoid' network shape (issue #26)
-
analysis.plot2Dnet() 'view' param to select frontal ('xy') or top-down ('xz') view
-
analysis.plotConn() option to plot stacked bar graph, select different pre and post pops, synMech and syns vs conns
-
Made distinction between number of connections and synaptic contacts (eg. can have 5 synsPerConn)
-
New function netParams.addCellParamsSecList to create list of sections based on distance from soma
-
Removed 'plast' and 'shape' from conns when not used (issue #177)
-
Added option to center soma at origin when importing cell
-
Now using noiseFromRandom123() for NetStims() (issue #89)
-
Fixed bug in readCmdLineArgs()
-
Fixed bug in saveData option of figure plots
-
Added analysis.nTE() function to calculate normalized transfer entropy (issue #42)
-
Added analysis.granger() function to calculate and plot Spectral Granger Causality (issue #42)
-
Added analysis.plotRatePSD() to plot firing rate power spectral density
-
Added analysis.plotShape() to plot 3D morphology of cell and synapse locations
-
Added option to fix soma depth for subcellular distributions based on 1d and 2d maps
-
Added support for gap junction (electrical synapse) connections
-
Improved import of multicompartmental cells from NeuroML2
-
Added option to turn off graphics by adding -nogui from command line
-
Added option to skip batch sims if output file already exists
-
Added option to overlay pop labels and show avg rates to plotRaster() (issue #111)
-
All section now include argument cell=self to differentiate them
-
Fixed travis script so checks all tuts and examples after each commit (issue #37)
-
Fixed bug positioning cells with 3d geom
-
Fixed bug in sim.clearAll by closing all figures instead of current (issue #168)
-
Fixed bug: cache_efficient was not being turned on
-
Fixed bug setting simConfig loaded from file
-
Fixed bug in plotRaster inverseOrder option
-
Fixed str vs basestring in analysis.py and simFuncs.py
-
Fixed bug due to not inserting ions in section
-
Added cvode_active simConfig option to set variable time step (issue #116)
-
Added saving of avg pop rates
-
Added save method to SimConfig and NetParams class
-
Fixed bug importing 3d cell geometries
-
Fixed bug in readCmdLine func
-
Fixed bug reading from json (str vs unicode)
-
Fixed bug setting mech param values for nseg>1
-
Added importing of cell ion parameters (eg. 'ena' or 'ek')
-
Added backupCfgFile (eg. ['cfg.py', 'backupcfg/']) to simConfig to copy cfg file after run
-
Added gatherOnlySimData to simConfig to gather only simulation data and not cells or pops
-
Added simLabel and saveFolder to simConfig (can be used instead of filename)
-
Added printRunTime to simConfig to print run time (in sec) during execution
-
Added printPopAvgRates to simConfig to print population avg firing rates after run
-
Automatic saving of netpyne and netParams version to file
-
Moved creation of fih functions to set cell vinit from setupRecording() to preRun()
-
Can now load netParams and simConfig from file without setting in sim
-
Added sim.readCmdLineArgs to read simConfig and netParams filepaths from command line
-
Can now access NEURON's h module via sim.h
-
Fixed bug so can load netParams and simConfig without initializing sim
-
Fixed bug that prevented mechanism properties with value 0.0 from being set
-
Fixed bug in code to distribute cells (converted numCells from float to int)
-
Fixe bug in plotTraces
-
Added global boolean variable netpyne.gui to enable/disable graphics (issue #150)
-
Spike histogram fixes: axis labels only in 1st subplot, limit time range, tight_layout only if <5 subplots
-
Fixed bug so multiple traces figures are saved to separate files (issue #166)
-
Fixed bug when using point process-based cells that include synapses (eg. Izhi2007a)
-
Fixed bug where spike hist subplot didn't match raster axis
-
Fixed bug when loading data from file with multiple cores
-
Fixed bug so modify functions work with multiple cores
-
Added option to shape conn weights dynamically to create temporal patterns (issue #33)
-
Store all params of synMechs exhaustively instead of by reference (issue #139)
-
Added netParams.importCellParamsFromNet() to import parameters of multiple cells from existing network (issue #154)
-
Added modifySynMechs function
-
Added option to record from all synMechs of a type (eg. 'AMPA')
-
Fixed bugs and improved efficiency of modify, modifyConns and modifyStims function
-
Fixed bug plotting traces
-
Improved NeuroML2 import functions (issue #12)
-
Added support for homeostatic scaling synapse (requires self NetCon) (issue #141)
-
Added method to convert NetParams and SimConfig objects to dicts (issue #141)
-
Fixed NetParams and SimConfig constructors so arguments are converted to Dict/ODict (issue #141)
-
Added sim.loadBalance() func to calculate and print load balance information (issue #77)
- Fixed bug (introduced during debugging) that prevented random seeds from working properly
-
Improved NeuroML import/export functions
-
Added option for cache_efficient (optimized load balance when many cores) (issue #77)
-
Added sim.clearAll() function to clear all objects in memory and avoid leaks
-
Cleared variables after gathering from multiple nodes to avoid memory leak
-
Separated common runSim() commands into preRun() (issue #83)
-
Fixed bugs in net.modifyStims() method
-
Only load neuroml libraries and functions if installed to avoid error when importing sim
-
Disable subcellular connectivity since wasn't modifying the synMechs correctly.
-
New example using Allen Institute cells showing how to save large net and reload for simulation
-
Improved export/import from/to NeuroML2 (issue #12)
-
All structures (including Dict and ODict) can now be saved and loaded via json
-
Added option to use separate simConfig when loading data from file
-
saveData() calls gatherData() if required
-
saveData() returns string with full path of saved file (issue #127)
-
Fixed bugs so its possible to create and save Python structure independently of NEURON objects
-
Fixed bug that created 2 instead of 1 NetStims per cell
-
Fixed bug regarding mutable default args in Python funcs
-
Fixed bug so NetStim stim params are set to default if missing
-
Access to nested dictionaries via dot notation (secs.soma.geom) using new inherited classes Dict() and ODict() (issue #123)
-
'hSection' replaced with 'hSec'
-
Added sim.popAvgRates() to calculate and optionally print population avg rates
-
Functions to modify cells, conns or stims also update sim.allCells (issue #59)
-
Fixed bug so can modify funcs now accept lists of strings (issue #59)
-
Fixed bug when recording traces of relative cell indices of populations across multiple nodes
-
Functions to modify parameters of cells, conns and stims in an instantiated network (issue #59)
-
Added label of param rule used to create cells, conns and stims, so can modify later (issue #59)
-
Ordered sim.net.allCells by gid
-
Option to save figures with same name as data
-
Added support for VClamp list params (issue #32)
-
Fixed bug when creating pops consisiting of lists of cells
- Fixed bug that gave error since trying to import removed module default.py
-
Easier and more consistent format for high-level specifications (issue #103):
-
replaced default.py with specs.py which defines classes NetParams and SimConfig
-
netParams and simConfig are now objects of class NetParams and SimConfig, respectively
-
Can use object methods to add params, eg. netParams.addPopParams(label, params)
-
All structures within netParams and simConfig are now OrderedDicts so can be referenced by label/key
-
If no label is assigned, then an increasing number is automatically used as label
-
Split netParams.stimParams into netParams.stimSourceParams and netParams.stimTargetParams (both OrderedDicts)
-
Simplified/clarified keys: 'conditions' -> 'conds', 'sections' -> 'secs', 'preTags' -> 'preConds', 'postTags' -> 'postConds'
-
Added netParams.importCellParams() to simplify
-
-
Added sim wrappers and modified names of existing ones to make consistent
-
Selectively save data to file: netParams, net, simConfig and/or simData (issue #30)
-
Added functions to load netParams, net, simConfig and/or simData from file (issue #30)
-
Added 'rerun' option to plotTraces()
-
Added function to get cell object by gid, sim.cellByGid(gid)
-
Fixed bug that was slowing down STDP by creating new h.Section() -- now uses existing.
-
Fixed bug so vinit gets set for all segments in a section.
-
Fixed bug related to readArgs() when running from IPYnotebook.
-
Fixed bug related to plasticity in cells with V not in section (eg. Izhi2007a)
-
Added option 'dataSaveInclude' to select what data to save to file (issue #30)
-
Added sim.net.allPops which contains all cellGids of each when running on >1 nodes (issue #30)
-
Connectivity matrix can now be grouped by numeric tags in intervals (eg. cortical depth y in 50 um intervals) (issue #92)
-
Added support for all stims (VClamp, SEClamp, AlphaSynapse, etc) and can specify any of the stim params (amp, dur, delay,etc) as a function (eg. 'uniform(a,b)' or '2*post_ynorm') (issue #32)
-
Fixed bugs so plotRaster() is identical when running on >1 nodes, and is ordered by gid correctly
-
Fixed bug so can have multiple plot function calls even when one of them is False
-
Modified format of simConfig analysis options to make it equivalent to calling analysis functions (issue #69)
-
Improved plotRaster() function to add customizable options (select cells, time range, order, overlay histogram, and others) (issue #39)
-
Improved plotTraces() function to add customizable options (select cells, time range, arrage by cell or trace, and others) (issue #39)
-
Improved plot2Dnet() function to add customizable options (select cells, show connections, and others) (issue #39)
-
Added spikeHist() function to plot spike histogram with customizable options (select cells, time range, bin size, and others) (issue #63)
-
Added plotConn() function to plot spike histogram with multiple customizable options (select cells, feature, order, and others) (issue #39)
-
Added option to save figure, save figure data, specify figure size, and show figure to all analysis/plotting functions (issue #39)
-
Fixed bug when generating function-based random probability values -- made random stream independent
-
Fixed bug when generating density-based random cell locations -- made random stream independent (issue #93)
-
Removed framework and init modules, and consolidated in sim module (so just need: 'from netpyne import sim')
-
Added option to specify weight scale factor separately for each cell model, and for NetStims (issue #69)
-
Conn rules can now have list of synMechs (eg. [AMPA, NMDA]) and synMechWeightFactor (eg. [1.0, 0.1]) (issue #69)
-
Conn rules allow list of weights, delays and/or locs for each synMech in list (issue #69)
-
Conn rules allow synsPerConn and loc to be described functionally (at the cell connection level) (eg. 'uniform(5,2)') (issue #69)
-
Conn rules allow list of weights, delays, and/or locs when synsPerConn > 1 (issue #69)
-
Conn rules allow 2D list of weights, delays, and/or locs when have list of synMechs and synsPerConn > 1 (issue #69)
-
Conn rules allow list of sections or sectionList when synsPerConn > 1; synMechs distributed uniformly (loc list not allowed) (issue #69)
-
Extended fromList connectivity function so can also provide synapse locs (issue #69)
-
Added separate wrapper sim functions to create and simulate the network
-
Sim functions use simConfig and netParams from main as default (if not specified)
-
Connections between NetStims and cells are included in conn list (issue #69)
-
Fixed bug so can create Python and NEURON objects for connections independently (issue #69)
-
Added option for random seeds for connectivity, stimulation, and cell locations (issue #49)
-
Added return pointers when create cells, pops, conns, stims, and recording (issue #48)
-
Renamed point process param labels: '_type' -> 'mod', '_loc' -> 'loc' (issue #24)
-
Added option to set h global variables (eg. celsius) (issue #31)
-
Fixed importCell() so h global variables reset after importing (issue #31)
-
Fixed importCell() so synapses stored in synMechParams (issue #25)
-
Fixed bug when pop names contained same subset of characters (issue #40)
-
Preliminary version of exporter to NeuroML2
-
Added fromList connectivity function
-
Added new dict 'stimParams' with support for IClamps
-
Added 'start' param to NetStim populations
-
Modified izhi2007 'u' starting value to be 0 instead of 0.2
-
Modified izhi2007 'C' value and the section properties so that synaptic weights match HH
-
Renamed NMDA synapses to AMPA
-
Fixed bugs in tuts
-
Fixed bug saving to JSON on single node
-
Fixed plotting traces from using 'all' cells option
-
Fixed bug when plottinc synMech traces
-
Renamed 'pos' with 'loc' in recordTraces list
-
Fixed bug in runSimWithIntervalFunc
-
Variable Netstims (NSLOCs) can now have noise > 0
-
Placed show(block=False) in try except block since not supported by some graphic backends
-
Create parallel context before re-creating net to avoid seg fault
-
Removed unnecessary modules in analysis.py
-
Only call show() in analysis if some figure to show
-
Fixed bug when distributing cells spatially based on xRange,yRange,zRange pop parameters
-
Added axis labels to 2D visualization, and now works when running on multiple nodes too
-
Reset Netstim random generators within runSim() so have reproducible results if working interactively
-
Fixed bug when distributing cells spatially based on normRange pop parameter
-
Fixed bug in functional connectivity variables post_xnorm, post_ynorm, post_znorm
-
Reversed ynorm based raster so higher y values are shown at the bottom (cortical-like)
-
Added option to plot sync lines in raster and show sync measure
-
Added 2D visualization of network cells and conns
-
Fixed randomization of cell positions by adding lastGid
-
Made synMech params independent of cell and referenced by labels (similar to NeuroML)
-
Keep Neuron objects after sim so can explore, modify and/or rerun sim.
-
Only gather data via py_alltoall if running on more than 1 node
-
Fix recording of single cell of population when using MPI
-
Fixed raster plotting based on NCD when using MPI
-
Replaced save as .txt format with save as .csv
-
Fixed bug when importing distributed mechanisms of cells
-
importCell can use either *args or **kwargs
-
Fixed bug in secLists implementation
-
Removed mpl_toolkits.mplot3d import (unused and produced error in some Mac OS versions)
-
Made conn functions more efficient using gid2lid and lid2gid
-
Replaced 'syn' (synapse) with 'synMech' (synaptic mechanism) to avoid confusion with synaptic connections
-
Fixed bug: STDP objects need to be stored so it works.
-
Added support for SectionLists (modified format of importCell so also works)
-
Fixed bugs: function-based connectivity
-
Fixed bugs: not checking connectivity rule conditions properly
-
Fixed bug: number of connections depended on number of nodes
-
Added option to add STDP plasticity and RL to connections
-
Added option to run function at intervals during simulation, e.g. to interface with external program (such as virtual arm)
-
Moved plot legend outside of plot area
-
Changed order of raster population colors to make separation clearer
-
Added option to select what cells to record/plot from separately; using new format with cells/pops in single list.
- Fixed bug: convergence connectivity produced error if used numeric value
-
Added option to show and/or save to file the timing of initialization, cell creation, connection creation, setup recording, simulation run, data gathering, plotting, and saving.
-
Fixed bug: h.dt now set to value of simConfig.dt
First version that was uploaded to pypi. Includes following features:
-
Clear separation (modularization) of parameter specifications, network instantiation and NEURON simulation code.
-
Easy-to-use, standardized, flexible, extensible and NEURON-independent format to specify parameters:
- Populations
- Cell property rules
- Connectivity rules
- Simulation configuration
-
Support for cell location (eg. cortical depth) dependence of cell density and connectivity.
-
Easy specification, importing and swapping of cell models (eg. point neuron vs multicompartment)
-
Support for hybrid networks eg. combining point and multicompartment neurons.
-
Multiple connectivity functions (eg. full, convergent, probabilistic) with optional parameters (eg. delay range)
-
Support for user-defined connectivity functions.
-
Populations, cell properties and connectivity rules can include reference to annotations (eg. for provenance).
-
NEURON-independent instantiation of network (all cells, connections, ...) using Python objects and containers.
-
NEURON-specific instantiation of network ready for simulation.
-
Enables sharing of Python-based network objects, which can then be instantiated and simulated in NEURON.
-
Easy MPI parallel simulation of network, including cell distribution across nodes an gathering of data from all nodes.
-
Analysis and visualization of network (eg. connecitivity matrix) and simulation output (eg. voltage traces, raster plot)
-
Data exporting/sharing to several formats (pickle, Matlab, JSON, HDF5) of the following:
- Parameters/specifications
- Instantiated networks
- Simulation results
-
Distance-based redistribution of synapses (subConn)