Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)

This entry includes tools for generating and analyzing network structure, and for running the neuronal network simulations on them.

Model Type: Realistic Network

Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Abstract Wang-Buzsaki neuron; Abstract integrate-and-fire leaky neuron

Currents: I Na,p; I Na,t; I K; I K,leak; I M

Receptors: GabaA; AMPA; NMDA

Transmitters: Gaba; Glutamate

Model Concept(s): Bursting; Synchronization; Short-term Synaptic Plasticity; Methods; Connectivity matrix

Simulation Environment: NEST; MATLAB; Python

Implementer(s): Maki-Marttunen, Tuomo [tuomomm at uio.no]

References:

Mäki-Marttunen T, Aćimović J, Ruohonen K, Linne ML. (2013). Structure-dynamics relationships in bursting neuronal networks revealed using a prediction framework. PloS one. 8 [PubMed]