SenseLab
Computational model
  Data
Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009)
demo_TCX_r2 [17700]
"Randomly-connected networks of integrate-and-fire (IF) neurons are known to display asynchronous irregular (AI) activity states, which resemble the discharge activity recorded in the cerebral cortex of awake animals. ... Here, we investigate the occurrence of AI states in networks of nonlinear IF neurons, such as the adaptive exponential IF (Brette-Gerstner-Izhikevich) model. This model can display intrinsic properties such as low-threshold spike (LTS), regular spiking (RS) or fast-spiking (FS). We successively investigate the oscillatory and AI dynamics of thalamic, cortical and thalamocortical networks using such models. ..."
  • Abstract integrate-and-fire adaptive exponential (AdEx) neuron Show Other
  • Spatio-temporal Activity Patterns Show Other
demo_TCX
False
False
Other categories referring to Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009)
Revisions: 12
Last Time: 8/18/2016 11:55:28 AM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin