title: Branching dendrites with resonant membrane: a "sum-over-trips" approach.
abstract: Dendrites form the major components of neurons. They are complex branching structures that receive and process thousands of synaptic inputs from other neurons. It is well known that dendritic morphology plays an important role in the function of dendrites. Another important contribution to the response characteristics of a single neuron comes from the intrinsic resonant properties of dendritic membrane. In this paper we combine the effects of dendritic branching and resonant membrane dynamics by generalising the "sum-over-trips" approach (Abbott et al. in Biol Cybernetics 66, 49-60 1991). To illustrate how this formalism can shed light on the role of architecture and resonances in determining neuronal output we consider dual recording and reconstruction data from a rat CA1 hippocampal pyramidal cell. Specifically we explore the way in which an Ih current contributes to a voltage overshoot at the soma.
authors.affiliation: Department of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK. stephen.coombes@nottingham.ac.uk
authors.forename: S
authors.initials: S
authors.lastname: Coombes
authors.forename: Y
authors.initials: Y
authors.lastname: Timofeeva
authors.forename: C-M
authors.initials: CM
authors.lastname: Svensson
authors.forename: G J
authors.initials: GJ
authors.lastname: Lord
authors.forename: K
authors.initials: K
authors.lastname: Josić
authors.forename: S J
authors.initials: SJ
authors.lastname: Cox
authors.forename: C M
authors.initials: CM
authors.lastname: Colbert
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D002462:Cell Membrane / Q000502:physiology*; D048430:Cell Shape / Q000502:physiology; D003198:Computer Simulation; D003712:Dendrites / Q000502:physiology*; D006624:Hippocampus / Q000502:physiology*; D008564:Membrane Potentials / Q000502:physiology; D008959:Models, Neurological; D051381:Rats; D009435:Synaptic Transmission / Q000502:physiology