"... Here, we use a compartmental modeling approach to search for discriminatory features in the properties of incoming stimuli to a PFC pyramidal neuron and/or its response that signal which of these stimuli will result in persistent activity emergence. Furthermore, we use our modeling approach to study cell-type specific differences in persistent activity properties, via implementing a regular spiking (RS) and an intrinsic bursting (IB) model neuron. ... Collectively, our results pinpoint to specific features of the neuronal response to a given stimulus that code for its ability to induce persistent activity and predict differential roles of RS and IB neurons in persistent activity expression. "
Model Type: Neuron or other electrically excitable cell
Cell Type(s): Neocortex L5/6 pyramidal GLU cell
Currents: I Na,p; I Na,t; I L high threshold; I A; I K; I K,Ca; I CAN
Receptors: GabaA; GabaB; AMPA; NMDA; IP3
Model Concept(s): Activity Patterns; Detailed Neuronal Models
Simulation Environment: NEURON
Implementer(s): Sidiropoulou, Kyriaki [sidirop at imbb.forth.gr]
References:
Sidiropoulou K, Poirazi P. (2012). Predictive features of persistent activity emergence in regular spiking and intrinsic bursting model neurons. PLoS computational biology. 8 [PubMed]