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Storing serial order in intrinsic excitability: a working memory model (Conde-Sousa & Aguiar 2013)
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To run the simulation start the file init.hoc This will simulate the network model and reproduce the results associated with Fig. 6 in: Conde-Sousa E and Aguiar P, "A working memory model for serial order that stores information in the intrinsic excitability properties of neurons", JComputNeuroscience 2013 This is a network model with several neurons: the simulation therefore takes a while(*) A raster plot is automatically generated in NEURON after the simulation. Alternativelly you can run the MATLAB script plotspikes.m (or plotspikes_for_all_neurons.m) after the NEURON simulation is completed to generate the raster in MATLAB. In the raster plot: - neurons with id from 0 to N_PRINCIPAL_NEURONS-1 are inhibitory interneurons - neurons with id from N_PRINCIPAL_NEURONS to 2*N_PRINCIPAL_NEURONS-1 are principal neurons - all other are gate interneurons (*)A smaller version of the network can be explored (lines 42-50 in WMSeqLearn.hoc): N_PRINCIPAL_NEURONS = 20 GATES_SAMPLING_FRACTION = 1 CONN_RATE = 0 N_PATTERNS = 5 PATTERN_SIZE = 3
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Storing serial order in intrinsic excitability: a working memory model (Conde-Sousa & Aguiar 2013)
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