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Data
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Realistic barrel cortical column - NetPyNE (Huang et al., 2022)
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Fleur Zeldenrust
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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.
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Huang C, Zeldenrust F, Celikel T (2022) Show
Other
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f.zeldenrust@neurophysiology.nl
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Matteo Cantarelli
Salvador Dura-Bernal
Eugenio Urdapilleta
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Huang, C., Zeldenrust, F., & Celikel, T. (2022). Cortical Representation of Touch in Silico. Neuroinformatics. https://doi.org/10.1007/s12021-022-09576-5 (PMID 35486347)
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