Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)


Architecturally realistic neocortical model using seven classes of excitatory and inhibitory single compartment Hodgkin-Huxley cells. This is an addendum to ModelDB Accession # 98902, Studies of stimulus parameters for seizure disruption (Anderson et al. 2007). Wiring is adapted from the minicolumn hypothesis and incorporates visual and neocortical wiring data. Simulation demonstrates spontaneous bursting onset and cessation. This activity can be induced by random fluctuations in the surrounding background input.

Model Type: Realistic Network

Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Neocortex L2/3 pyramidal GLU cell; Neocortex V1 interneuron basket PV GABA cell; Neocortex fast spiking (FS) interneuron

Currents: I A; I K; I K,leak; I K,Ca; I Sodium; I Calcium

Receptors: AMPA; Gaba

Model Concept(s): Bursting; Epilepsy; Vision

Simulation Environment: C or C++ program

References:

Anderson WS, Kudela P, Cho J, Bergey GK, Franaszczuk PJ. (2007). Studies of stimulus parameters for seizure disruption using neural network simulations. Biol Cybern 97 [PubMed]

Anderson WS, Kudela P, Weinberg S, Bergey GK, Franaszczuk PJ. (2009). Phase-dependent stimulation effects on bursting activity in a neural network cortical simulation. Epilepsy Res 84 [PubMed]

Anderson WS, Azhar F, Kudela P, Bergey GK, Franaszczuk PJ. (2012). Epileptic seizures from abnormal networks: why some seizures defy predictability. Epilepsy Res 99 [PubMed]

Azhar F, Anderson WS. (2012). Predicting single-neuron activity in locally connected networks. Neural Comput 24 [PubMed]