Neuronal arithmetic

By R. Silver. 2010

455 citations recorded by the source corpus.

The vast computational power of the brain has traditionally been viewed as arising from the complex connectivity of neural networks, in which an individual neuron acts as a simple linear summation and thresholding device. However, recent studies show that individual neurons utilize a wealth of nonlinear mechanisms to transform synaptic input into output firing. These mechanisms can arise from synaptic plasticity, synaptic noise, and somatic and dendritic conductances. This tool kit of nonlinear mechanisms confers considerable computational power on both morphologically simple and more complex neurons, enabling them to perform a range of arithmetic operations on signals encoded in a variety of different ways.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

Citations in the corpus

• Pattern separation in the hippocampus through the eyes of computational modeling (2017, unknown): “…neurons across various brain areas (London & Häusser, 2005; Papoutsi, Kastellakis, Psarrou, Anastasakis, & Poirazi, 2014; Poirazi, Brannon, & Mel, 2003; Sidiropoulou, Pissadaki, & Poirazi, 2006; Silver, 2010; Spruston, 2008), their role in pattern separation is just starting to be addressed.”