A spatial model of the intermediate superior colliculus (Moren et. al. 2013)

A spatial model of the intermediate superior colliculus. It reproduces the collicular saccade-generating output profile from NMDA receptor-driven burst neurons, shaped by integrative inhibitory feedback from spreading buildup neuron activity. The model is consistent with the view that collicular activity directly shapes the temporal profile of saccadic eye movements. We use the Adaptive exponential integrate and fire neuron model, augmented with an NMDA-like membrane potential-dependent receptor. In addition, we use a synthetic spike integrator model as a stand-in for a spike-integrator circuit in the reticular formation. NOTE: We use a couple of custom neuron models, so the supplied model file includes an entire version of NEST. I also include a patch that applies to a clean version of the simulator (see the doc/README).

Model Type: Realistic Network; Connectionist Network

Region(s) or Organism(s): Superior colliculus

Cell Type(s): Abstract integrate-and-fire adaptive exponential (AdEx) neuron

Receptors: NMDA

Model Concept(s): Activity Patterns; Bursting; Spatio-temporal Activity Patterns; Action Selection/Decision Making

Simulation Environment: NEST; Python


Morén J, Shibata T, Doya K. (2013). The mechanism of saccade motor pattern generation investigated by a large-scale spiking neuron model of the superior colliculus. PloS one. 8 [PubMed]

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.