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We analytically study the input-output properties of a neuron whose active dendritic tree, modeled as a Cayley tree of excitable elements, is subjected to Poisson stimulus. Both single-site and two-site mean-field approximations incorrectly predict a non-equilibrium phase transition which is not allowed in the model. We propose an excitable-wave mean-field approximation which shows good agreement with previously published simulation results [Gollo et al., PLoS Comput. Biol. 5(6) e1000402 (2009)] and accounts for finite-size effects. We also discuss the relevance of our results to experiments in neuroscience, emphasizing the role of active dendrites in the enhancement of dynamic range and in gain control modulation.
30 pages, 8 figures
Quantitative Biology - Subcellular Processes, Models, Statistical, Statistical Mechanics (cond-mat.stat-mech), Cellular Automata and Lattice Gases (nlin.CG), Models, Neurological, Action Potentials, FOS: Physical sciences, Dendrites, Synaptic Transmission, Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Animals, Humans, Computer Simulation, Neurons and Cognition (q-bio.NC), Physics - Biological Physics, Nonlinear Sciences - Cellular Automata and Lattice Gases, Subcellular Processes (q-bio.SC), Condensed Matter - Statistical Mechanics
Quantitative Biology - Subcellular Processes, Models, Statistical, Statistical Mechanics (cond-mat.stat-mech), Cellular Automata and Lattice Gases (nlin.CG), Models, Neurological, Action Potentials, FOS: Physical sciences, Dendrites, Synaptic Transmission, Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Animals, Humans, Computer Simulation, Neurons and Cognition (q-bio.NC), Physics - Biological Physics, Nonlinear Sciences - Cellular Automata and Lattice Gases, Subcellular Processes (q-bio.SC), Condensed Matter - Statistical Mechanics
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