title: Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.
abstract: Neuronal adaptation is the intrinsic capacity of the brain to change, by various mechanisms, its dynamical responses as a function of the context. Such a phenomena, widely observed in vivo and in vitro, is known to be crucial in homeostatic regulation of the activity and gain control. The effects of adaptation have already been studied at the single-cell level, resulting from either voltage or calcium gated channels both activated by the spiking activity and modulating the dynamical responses of the neurons. In this study, by disentangling those effects into a linear (sub-threshold) and a non-linear (supra-threshold) part, we focus on the the functional role of those two distinct components of adaptation onto the neuronal activity at various scales, starting from single-cell responses up to recurrent networks dynamics, and under stationary or non-stationary stimulations. The effects of slow currents on collective dynamics, like modulation of population oscillation and reliability of spike patterns, is quantified for various types of adaptation in sparse recurrent networks.
authors.affiliation: Institut des Systèmes Intelligents et de Robotique (ISIR), CNRS UMR 7222, UPMC University Paris, 4 Place Jussieu, 75005, Paris, France. colliaux@isir.upmc.fr.
authors.forename: David
authors.identifier: http://orcid.org/0000-0003-1898-4864
authors.initials: D
authors.lastname: Colliaux
authors.affiliation: Institut d'Etudes de la Cognition, ENS, Paris, France.|Sorbonne Université, UPMC University Paris06 UMRS968, Insititut de la Vision, Paris, France.|INSERM, U968, Paris, France.|CNRS, UMR7210, Paris, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Yger
authors.affiliation: Department of Basic Science, The University of Tokyo, 3-8-1, Komaba, Meguro-ku, Tokyo, 153-8902, Japan.
authors.forename: Kunihiko
authors.initials: K
authors.lastname: Kaneko
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000222:Adaptation, Physiological / Q000502:physiology*; D000818:Animals; D015220:Calcium Channels / Q000502:physiology; D002540:Cerebral Cortex / Q000033:anatomy & histology / Q000502:physiology; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009419:Nerve Tissue Proteins / Q000502:physiology; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D024642:Potassium Channels, Voltage-Gated / Q000502:physiology; D013569:Synapses / Q000502:physiology
chemical_list: D015220:Calcium Channels; D009419:Nerve Tissue Proteins; D024642:Potassium Channels, Voltage-Gated
keywords: Adaptation; Neuronal dynamics