On the firing rate dependency of the phase response curve of rat Purkinje neurons in vitro

PLoS Computational Biology
João CoutoMichele Giugliano

Abstract

Synchronous spiking during cerebellar tasks has been observed across Purkinje cells: however, little is known about the intrinsic cellular mechanisms responsible for its initiation, cessation and stability. The Phase Response Curve (PRC), a simple input-output characterization of single cells, can provide insights into individual and collective properties of neurons and networks, by quantifying the impact of an infinitesimal depolarizing current pulse on the time of occurrence of subsequent action potentials, while a neuron is firing tonically. Recently, the PRC theory applied to cerebellar Purkinje cells revealed that these behave as phase-independent integrators at low firing rates, and switch to a phase-dependent mode at high rates. Given the implications for computation and information processing in the cerebellum and the possible role of synchrony in the communication with its post-synaptic targets, we further explored the firing rate dependency of the PRC in Purkinje cells. We isolated key factors for the experimental estimation of the PRC and developed a closed-loop approach to reliably compute the PRC across diverse firing rates in the same cell. Our results show unambiguously that the PRC of individual Purkinje cells i...Continue Reading

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Citations

Aug 20, 2016·PLoS Computational Biology·Anatoly BuchinArnd Roth
Feb 27, 2016·The Journal of Physiology·Antonin BlotClément Léna
Jul 7, 2020·Frontiers in Cellular Neuroscience·Stefano Borda BossanaMichele Giugliano

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