title: Impact of membrane bistability on dynamical response of neuronal populations.
abstract: Neurons in many brain areas can develop a pronounced depolarized state of membrane potential (up state) in addition to the normal hyperpolarized state near the resting potential. The influence of the up state on signal encoding, however, is not well investigated. Here we construct a one-dimensional bistable neuron model and calculate the linear dynamical response to noisy oscillatory inputs analytically. We find that with the appearance of an up state, the transmission function is enhanced by the emergence of a local maximum at some optimal frequency and the phase lag relative to the input signal is reduced. We characterize the dependence of the enhancement of frequency response on intrinsic dynamics and on the occupancy of the up state.
authors.affiliation: Center for Neural Science, New York University, New York, New York 10003, USA.|Department of Neurobiology and Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, Connecticut 06520, USA.
authors.forename: Wei
authors.initials: W
authors.lastname: Wei
authors.affiliation: Max Planck Institute for Dynamics and Self-Organization and Bernstein Center for Computational Neuroscience, D-37077 Göttingen, Germany.
authors.forename: Fred
authors.initials: F
authors.lastname: Wolf
authors.affiliation: Center for Neural Science, New York University, New York, New York 10003, USA.|Department of Neurobiology and Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, Connecticut 06520, USA.|NYU-ECNU Institute of Brain and Cognitive Science, NYU Shanghai, Shanghai, China.
authors.forename: Xiao-Jing
authors.initials: XJ
authors.lastname: Wang
mesh_terms: D002462:Cell Membrane / Q000502:physiology*; D016014:Linear Models; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*