One of the central questions in neuroscience is how particular tasks, or computations, are
implemented by neural networks to generate behavior. The prevailing view has been that …

Physiological experiments have highlighted how the dendrites of biological neurons can
nonlinearly process distributed synaptic inputs. However, it is unclear how aspects of a …

Information processing in the brain depends on the integration of synaptic input distributed
throughout neuronal dendrites. Dendritic integration is a hierarchical process, proposed to …

Highlights•Dendritic compartmentalization is controlled and avoidable.•
Compartmentalization combined with amplification allows neurons to withhold information …

In this paper, we discuss the nonlinear computational power provided by dendrites in
biological and artificial neurons. We start by briefly presenting biological evidence about the …

Nonlinear dendritic integration is thought to increase the computational ability of neurons.
Most studies focus on how supralinear summation of excitatory synaptic responses arising …

Local supra-linear summation of excitatory inputs occurring in pyramidal cell dendrites, the
so-called dendritic spikes, results in independent spiking dendritic sub-units, which turn …

It has been conjectured that nonlinear processing in dendritic branches endows individual
neurons with the capability to perform complex computational operations that are needed to …

For many decades, neurons were considered to be the elementary computational units of
the brain and were assumed to summate incoming signals and elicit action potentials only in …

Recent advances in the biophysics of computation and neurocomputing models have
brought to the foreground the importance of dendritic structures in a single neuron cell …