Oct 26, 2018

Dendritic spikes expand the range of well-tolerated population noise structures

BioRxiv : the Preprint Server for Biology
Alon Poleg-Polsky

Abstract

The brain operates surprisingly well despite the noisy nature of individual neurons. The central mechanism for noise mitigation in the nervous system is thought to involve averaging over multiple noise-corrupted inputs. Subsequently, there has been considerable interest recently to identify noise structures that can be integrated linearly in a way that preserves reliable signal encoding. By analyzing realistic synaptic integration in biophysically accurate neuronal models, I report a complementary de-noising approach that is mediated by focal dendritic spikes. Dendritic spikes might seem to be unlikely candidates for noise reduction due to their miniscule integration compartments and poor averaging abilities. Nonetheless, the extra thresholding step introduced by dendritic spike generation increases neuronal performance for a broad category of computational tasks, including analog and binary discrimination, as well as for a range of correlated and uncorrelated noise structures, some of which cannot be adequately resolved with averaging. This property of active dendrites compensates for compartment size constraints and expands the repertoire of brain states and presynaptic population activity dynamics can be reliably de-noised b...Continue Reading

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Mentioned in this Paper

Dendrite of Motor Neuron
Presynaptic Terminals
Size
Classification
Entire Nervous System
Neurons
Brain
Neuronal
Nervous System Structure
Brain Function

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