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Inverse Stochastic Resonance in Cerebellar Purkinje Cells

Buchin, A; Rieubland, S; Hausser, M; Gutkin, BS; Roth, A; (2016) Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS Computational Biology , 12 (8) , Article e1005000. 10.1371/journal.pcbi.1005000. Green open access

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Abstract

Purkinje neurons play an important role in cerebellar computation since their axons are the only projection from the cerebellar cortex to deeper cerebellar structures. They have complex internal dynamics, which allow them to fire spontaneously, display bistability, and also to be involved in network phenomena such as high frequency oscillations and travelling waves. Purkinje cells exhibit type II excitability, which can be revealed by a discontinuity in their f-I curves. We show that this excitability mechanism allows Purkinje cells to be efficiently inhibited by noise of a particular variance, a phenomenon known as inverse stochastic resonance (ISR). While ISR has been described in theoretical models of single neurons, here we provide the first experimental evidence for this effect. We find that an adaptive exponential integrate-and-fire model fitted to the basic Purkinje cell characteristics using a modified dynamic IV method displays ISR and bistability between the resting state and a repetitive activity limit cycle. ISR allows the Purkinje cell to operate in different functional regimes: the all-or-none toggle or the linear filter mode, depending on the variance of the synaptic input. We propose that synaptic noise allows Purkinje cells to quickly switch between these functional regimes. Using mutual information analysis, we demonstrate that ISR can lead to a locally optimal information transfer between the input and output spike train of the Purkinje cell. These results provide the first experimental evidence for ISR and suggest a functional role for ISR in cerebellar information processing.

Type: Article
Title: Inverse Stochastic Resonance in Cerebellar Purkinje Cells
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pcbi.1005000
Publisher version: http://dx.doi.org/10.1371/journal.pcbi.1005000
Language: English
Additional information: Copyright: © 2016 Buchin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Science & Technology, Life Sciences & Biomedicine, Biochemical Research Methods, Mathematical & Computational Biology, Biochemistry & Molecular Biology, Resurgent Sodium Current, Hair-cells, Neural Systems, Neurons, Frequency, Inhibition, Spiking, Noise, Model, Oscillations
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Wolfson Inst for Biomedical Research
URI: https://discovery.ucl.ac.uk/id/eprint/1508566
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