Neurosim-lab/netpyne: v0.7.5

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