Journal
NEURON
Volume 94, Issue 5, Pages 954-960Publisher
CELL PRESS
DOI: 10.1016/j.neuron.2017.04.044
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Funding
- National Science Foundation (NSF) CAREER [IIS-1254123, IOS-1556388]
- Division Of Integrative Organismal Systems
- Direct For Biological Sciences [1556388] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1254123] Funding Source: National Science Foundation
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Discretization in neural circuits occurs on many levels, from the generation of action potentials and dendritic integration, to neuropeptide signaling and processing of signals from multiple neurons, to behavioral decisions. It is clear that discretization, when implemented properly, can convey many benefits. However, the optimal solutions depend on both the level of noise and how it impacts a particular computation. This Perspective discusses how current physiological data could potentially be integrated into one theoretical framework based on maximizing information. Key experiments for testing that framework are discussed.
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