title: Spatially distributed dendritic resonance selectively filters synaptic input.
abstract: An important task performed by a neuron is the selection of relevant inputs from among thousands of synapses impinging on the dendritic tree. Synaptic plasticity enables this by strenghtening a subset of synapses that are, presumably, functionally relevant to the neuron. A different selection mechanism exploits the resonance of the dendritic membranes to preferentially filter synaptic inputs based on their temporal rates. A widely held view is that a neuron has one resonant frequency and thus can pass through one rate. Here we demonstrate through mathematical analyses and numerical simulations that dendritic resonance is inevitably a spatially distributed property; and therefore the resonance frequency varies along the dendrites, and thus endows neurons with a powerful spatiotemporal selection mechanism that is sensitive both to the dendritic location and the temporal structure of the incoming synaptic inputs.
authors.affiliation: Scientific and Clinical Research Department, Neurelec, Vallauris, France; Equipe Audition, Département d'études cognitives, Ecole Normale Supérieure, Paris, France.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Laudanski
authors.affiliation: Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa, Japan; Department of Neurobiology and the Edmond and Lily Safra Center for Brain Science, Hebrew University of Jerusalem, Jerusalem, Israel.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Torben-Nielsen
authors.affiliation: Department of Neurobiology and the Edmond and Lily Safra Center for Brain Science, Hebrew University of Jerusalem, Jerusalem, Israel.
authors.forename: Idan
authors.initials: I
authors.lastname: Segev
authors.affiliation: Equipe Audition, Département d'études cognitives, Ecole Normale Supérieure, Paris, France; Institute for Systems Research and Department of Electrical & Computer Engineering, University of Maryland, College Park, Maryland, United States of America.
authors.forename: Shihab
authors.initials: S
authors.lastname: Shamma
mesh_terms: D019295:Computational Biology; D003712:Dendrites / Q000502:physiology*; D007473:Ion Channels / Q000502:physiology; D008959:Models, Neurological; D009473:Neuronal Plasticity / Q000502:physiology; D009474:Neurons / Q000502:physiology; D013569:Synapses / Q000502:physiology*
chemical_list: D007473:Ion Channels