title: When less is more: non-monotonic spike sequence processing in neurons.
abstract: Fundamental response properties of neurons centrally underly the computational capabilities of both individual nerve cells and neural networks. Most studies on neuronal input-output relations have focused on continuous-time inputs such as constant or noisy sinusoidal currents. Yet, most neurons communicate via exchanging action potentials (spikes) at discrete times. Here, we systematically analyze the stationary spiking response to regular spiking inputs and reveal that it is generically non-monotonic. Our theoretical analysis shows that the underlying mechanism relies solely on a combination of the discrete nature of the communication by spikes, the capability of locking output to input spikes and limited resources required for spike processing. Numerical simulations of mathematically idealized and biophysically detailed models, as well as neurophysiological experiments confirm and illustrate our theoretical predictions.
authors: Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen, Germany; Institute for Nonlinear Dynamics, Faculty of Physics, Georg August University Göttingen, Göttingen, Germany.
authors: Hinrich
authors: H
authors: Arnoldt
authors: Department of Membrane Biophysics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
authors: Shuwen
authors: S
authors: Chang
authors: Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen, Germany; Institute for Nonlinear Dynamics, Faculty of Physics, Georg August University Göttingen, Göttingen, Germany; Bernstein Center for Computational Neuroscience (BCCN) Göttingen, Göttingen, Germany.
authors: Sven
authors: S
authors: Jahnke
authors: Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen, Germany.
authors: Birk
authors: B
authors: Urmersbach
authors: Department of Membrane Biophysics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
authors: Holger
authors: H
authors: Taschenberger
authors: Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen, Germany; Institute for Nonlinear Dynamics, Faculty of Physics, Georg August University Göttingen, Göttingen, Germany; Bernstein Center for Computational Neuroscience (BCCN) Göttingen, Göttingen, Germany.
authors: Marc
authors: M
authors: Timme
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D002478:Cells, Cultured; D003198:Computer Simulation; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D018408:Patch-Clamp Techniques; D051381:Rats; D017208:Rats, Wistar; D065833:Trapezoid Body / Q000166:cytology
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