-
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)
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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)
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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
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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
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Improved export/import from/to NeuroML2 (issue #12)
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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
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saveData() calls gatherData() if required
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saveData() returns string with full path of saved file (issue #127)
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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)
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'hSection' replaced with 'hSec'
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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)
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Ordered sim.net.allCells by gid
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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
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Easier and more consistent format for high-level specifications (issue #103):
-
replaced default.py with specs.py which defines classes NetParams and SimConfig
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netParams and simConfig are now objects of class NetParams and SimConfig, respectively
-
Can use object methods to add params, eg. netParams.addPopParams(label, params)
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All structures within netParams and simConfig are now OrderedDicts so can be referenced by label/key
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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)
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Simplified/clarified keys: 'conditions' -> 'conds', 'sections' -> 'secs', 'preTags' -> 'preConds', 'postTags' -> 'postConds'
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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)
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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)
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Added option 'dataSaveInclude' to select what data to save to file (issue #30)
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Added sim.net.allPops which contains all cellGids of each when running on >1 nodes (issue #30)
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Connectivity matrix can now be grouped by numeric tags in intervals (eg. cortical depth y in 50 um intervals) (issue #92)
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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)
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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)
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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)
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Added plotConn() function to plot spike histogram with multiple customizable options (select cells, feature, order, and others) (issue #39)
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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')
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Added option to specify weight scale factor separately for each cell model, and for NetStims (issue #69)
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Conn rules can now have list of synMechs (eg. [AMPA, NMDA]) and synMechWeightFactor (eg. [1.0, 0.1]) (issue #69)
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Conn rules allow list of weights, delays and/or locs for each synMech in list (issue #69)
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Conn rules allow synsPerConn and loc to be described functionally (at the cell connection level) (eg. 'uniform(5,2)') (issue #69)
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Conn rules allow list of weights, delays, and/or locs when synsPerConn > 1 (issue #69)
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Conn rules allow 2D list of weights, delays, and/or locs when have list of synMechs and synsPerConn > 1 (issue #69)
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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
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Sim functions use simConfig and netParams from main as default (if not specified)
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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
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Modified izhi2007 'C' value and the section properties so that synaptic weights match HH
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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
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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
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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
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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
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Fixed randomization of cell positions by adding lastGid
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Made synMech params independent of cell and referenced by labels (similar to NeuroML)
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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.
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Populations, cell properties and connectivity rules can include reference to annotations (eg. for provenance).
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NEURON-independent instantiation of network (all cells, connections, ...) using Python objects and containers.
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NEURON-specific instantiation of network ready for simulation.
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Enables sharing of Python-based network objects, which can then be instantiated and simulated in NEURON.
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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