Impact of functional synapse clusters on neuronal response selectivity

Balázs B. Ujfalussy () and Judit K. Makara
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Balázs B. Ujfalussy: Institute of Experimental Medicine
Judit K. Makara: Institute of Experimental Medicine

Nature Communications, 2020, vol. 11, issue 1, 1-14

Abstract: Abstract Clustering of functionally similar synapses in dendrites is thought to affect neuronal input-output transformation by triggering local nonlinearities. However, neither the in vivo impact of synaptic clusters on somatic membrane potential (sVm), nor the rules of cluster formation are elucidated. We develop a computational approach to measure the effect of functional synaptic clusters on sVm response of biophysical model CA1 and L2/3 pyramidal neurons to in vivo-like inputs. We demonstrate that small synaptic clusters appearing with random connectivity do not influence sVm. With structured connectivity, ~10–20 synapses/cluster are optimal for clustering-based tuning via state-dependent mechanisms, but larger selectivity is achieved by 2-fold potentiation of the same synapses. We further show that without nonlinear amplification of the effect of random clusters, action potential-based, global plasticity rules cannot generate functional clustering. Our results suggest that clusters likely form via local synaptic interactions, and have to be moderately large to impact sVm responses.

Date: 2020
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DOI: 10.1038/s41467-020-15147-6

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