Global and multiplexed dendritic computations under in vivo-like conditions (Ujfalussy et al 2018)

"The input-output transformation of neurons under in vivo conditions is unknown. Ujfalussy et al. use a model-based approach to show that linear integration with a single global dendritic nonlinearity can accurately predict the response of neurons to naturalistic synaptic input patterns."

Model Type: Neuron or other electrically excitable cell

Cell Type(s): Neocortex L2/3 pyramidal GLU cell

Receptors: AMPA; NMDA

Model Concept(s): Detailed Neuronal Models; Simplified Models

Simulation Environment: NEURON (web link to model); Python (web link to model); R (web link to model)

Implementer(s): Ujfalussy, Balázs B. [balazs.ujfalussy at gmail.com]

References:

Ujfalussy BB, Makara JK, Lengyel M, Branco T. (2018). Global and Multiplexed Dendritic Computations under In Vivo-like Conditions. Neuron. 100 [PubMed]