ArticleBiological cybernetics2026
Efficient coding predicts synaptic conductance.
Article in Biological cybernetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Retinothalamic and thalamocortical synapses are efficient in the sense that each synapse conveys as many bits per Joule as possible, but efficiency falls rapidly if synaptic conductance deviates from its natural value Harris et al. (2015, 2019). However, the manner in which efficiency falls with conductance remains unexplained. Recently, Malkin et al. (2026) showed that synaptic noise is minimised given the available energy, consistent with a minimal energy boundary. Here, this boundary is expressed in terms of Shannon's information theory Shannon and Weaver (1949), which yields a model that predicts the efficiency values observed in Harris et al. (2015) across a 120-fold change in synaptic conductance (
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