Large scale neocortical model for PGENESIS (Crone et al 2019)


This is model code for a large scale neocortical model based on Traub et al. (2005), modified to run on PGENESIS on supercomputing resources. "In this paper (Crone et al 2019), we evaluate the computational performance of the GEneral NEural SImulation System (GENESIS) for large scale simulations of neural networks. While many benchmark studies have been performed for large scale simulations with leaky integrate-and-fire neurons or neuronal models with only a few compartments, this work focuses on higher fidelity neuronal models represented by 50–74 compartments per neuron. ..."

Model Type: Realistic Network

Region(s) or Organism(s): Neocortex

Cell Type(s): Neocortex L2/3 pyramidal GLU cell; Neocortex L5/6 pyramidal GLU cell; Thalamus reticular nucleus GABA cell; Neocortex fast spiking (FS) interneuron; Neocortex layer 2-3 interneuron; Neocortex layer 5 interneuron; Neocortex spiking low threshold (LTS) neuron; Neocortex spiny stellate cell

Currents: I Sodium; I Potassium; I Calcium

Receptors: AMPA; NMDA; GabaA

Transmitters: Glutamate; Gaba

Model Concept(s): Oscillations; Methods; Detailed Neuronal Models; Extracellular Fields

Simulation Environment: PGENESIS; GENESIS

Implementer(s): Crone, J ; Vindiola, MM ; Yu, AB ; Boothe, DL ; Beeman, Dave; Oie, KS ; Franaszczuk, PJ ; Anderson, WS ; Kudela, Pawel ; Traub, Roger D [rtraub at us.ibm.com]

References:

Crone JC et al. (2019). Enabling Large-Scale Simulations With the GENESIS Neuronal Simulator Frontiers in Neuroinformatics. 13


This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.