Work

Predicting brain organization with a computational model: 50-year perspective on lateral inhibition and oscillatory gating by dendrodendritic synapses

Year: 2020

Type: review

Abstract: The first compartmental computer models of brain neurons using the Rall method predicted novel and unexpected dendrodendritic interactions between mitral and granule cells in the olfactory bulb. We review the models from a 50-year perspective on the work that has challenged, supported, and extended the original proposal that these interactions mediate both lateral inhibition and oscillatory activity, essential steps in the neural basis of olfactory processing and perception. We highlight strategies behind the neurophysiological experiments and the Rall methods that enhance the ability of detailed compartmental modeling to give counterintuitive predictions that lead to deeper insights into neural organization at the synaptic and circuit level. The application of these methods to mechanisms of neurogenesis and plasticity are exciting challenges for the future.

Source: Journal of Neurophysiology

DOI: 10.1152/jn.00175.2020

Authors: Gordon M. Shepherd, Michael L. Hines, Michele Migliore, Wei R. Chen, Charles A. Greer

Institutions: Yale University, National Research Council

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funder: National Institute on Deafness and Other Communication Disorders

Awards: SenseLab: Integration of Multidisciplinary Sensory Data, Olfactory Bulb Local Circuits