v0.7.5
Version 0.7.5
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Improved NeuroML conversion support
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Make cfg.checkErrors = True by default, but set to False if using multiple cores or batch
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Added methods to rename netParams dict keys in a nested format (needed for GUI)
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Added analysis.plotSpikeStats() func to plot stats of cell rates, ISI CVs and synchronies
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Added analysis.calculateRate() func to calculate avg and peak rate of pop subset at time range
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Added analysis.plotRates() func to plot avg and peak rate of different pop subsets at time range
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Added option to include list of pops or cells in 'include' arguments e.g. include=[['E4','E2'], [1,3]]
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Added cfg.compactConnFormat option to replace conns dict format with compact list format
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Added option to plotConn() and plot2Dnet() to load data from compact format json files
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Adapted python2 code so conversion to python3 via 2to3 command works straight away
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Added 'instantiate' argument to sim.load function
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Added 'dpi' argument to analysis.plotSpikeHist()
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Replaced init()/h.stdinit() with finitialize() so h.v_init and h.dt get set properly
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Removed call to h.stdrun() but made v_init a global in cfg.hParams and initialized h.tstop to cfg.duration
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Fixed bug setting globals that don't exist
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Fixed issue setting global variables when loading from json
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Fixed issue to make convergence+divergence connections randomization more robust and efficient (issue #254)
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Fixed bug in colors of plotSpikeHist
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Fixed bug in replaceDictODict() that lead to wrong results when importing cells
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Fixed bug when using sim.gatherOnlySimData
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Fixed bugs in saveLoadV1 example
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Fixed bug when generating subConn with createNEURONObj=False