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 alum.mit.edu]
References:
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]