Realistic barrel cortical column - Matlab (Huang et al., 2022)

Reconstructed rodent barrel cortical column (thalamic filter-and-fire input, L4 and L2/3 spiking neurons) based on measured distributions, so each run will create a different connectivity). Includes 13 types of inhibitory and excitatory neurons, implemented as Izhikevich neurons. Includes both a Matlab and a Python (NetPyNe) implementation.

Model Type: Realistic Network; Spiking neural network

Region(s) or Organism(s): Barrel cortex

Cell Type(s): Abstract Izhikevich neuron; Barrel cortex L2/3 pyramidal cell

Model Concept(s): Synaptic Integration; Action Potentials; Synaptic Plasticity; Calcium dynamics; Sensory coding; Spike Frequency Adaptation; Spatial connectivity; Long-term Synaptic Plasticity

Simulation Environment: MATLAB

Implementer(s): Zeldenrust, Fleur [fleurzeldenrust at]; Huang, Chao; Celikel, T


Huang C, Zeldenrust F, Celikel T. (2022). Cortical Representation of Touch in Silico Neuroinformatics. 20 [PubMed]

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