Balance of excitation and inhibition (Carvalho and Buonomano 2009)

" ... Here, theoretical analyses reveal that excitatory synaptic strength controls the threshold of the neuronal input-output function, while inhibitory plasticity alters the threshold and gain. Experimentally, changes in the balance of excitation and inhibition in CA1 pyramidal neurons also altered their input-output function as predicted by the model. These results support the existence of two functional modes of plasticity that can be used to optimize information processing: threshold and gain plasticity."

Model Type: Neuron or other electrically excitable cell

Model Concept(s): Synaptic Integration

Simulation Environment: NEURON; MATLAB


Carvalho TP, Buonomano DV. (2009). Differential effects of excitatory and inhibitory plasticity on synaptically driven neuronal input-output functions. Neuron. 61 [PubMed]

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