Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)

It is now well established that cultured neuron networks are spontaneously active, and tend to synchronize. Synchronous events typically involve the whole network, and have thus been termed “network spikes” (NS). Using experimental recordings and numerical simulations, we show here that the inter-NS interval statistics are complex, and allow inferring the neural mechanisms at work, in particular the adaptive ones, and estimating a number of parameters to which we cannot access experimentally.

Model Type: Realistic Network

Cell Type(s): Cochlear nucleus pyramidal/fusiform GLU cell; Abstract integrate-and-fire adaptive exponential (AdEx) neuron

Currents: I_AHP

Receptors: AMPA; NMDA; Glutamate

Transmitters: Glutamate

Model Concept(s): Bursting; Temporal Pattern Generation; Synchronization; Short-term Synaptic Plasticity; Facilitation; Depression; Spike Frequency Adaptation

Simulation Environment: Brian; Python

Implementer(s): Masquelier, Tim [timothee.masquelier at]


Masquelier T, Deco G. (2013). Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanisms. 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.