|
Data
|
Realistic barrel cortical column - Matlab (Huang et al., 2022)
|
Fleur Zeldenrust
|
|
|
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.
|
|
|
|
|
|
|
|
-
Huang C, Zeldenrust F, Celikel T (2022) Show
Other
|
|
|
|
|
|
|
f.zeldenrust@neurophysiology.nl
|
|
|
|
|
|
|
|
|
|
|
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)
|
|
|
|
|
|
|
|
|
|
|