The geometry of neuronal recruitment

DOI10.1016/j.physd.2006.07.012zbMath1097.92011OpenAlexW2163737185WikidataQ60154145 ScholiaQ60154145MaRDI QIDQ2509374

Amitabha Bose, Jonathan E. Rubin

Publication date: 19 October 2006

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physd.2006.07.012

zbMATH Keywords

integrate-and-fire modeltheta modelsynaptic inputexcitable neuronsgeometric dynamical systems

Mathematics Subject Classification ID

Neural biology (92C20) Dynamical systems in biology (37N25) Cell biology (92C37)

Related Items (4)

Strategies to Maximize Burst Lengths in Rhythmic Anti-Phase Activity of Networks with Reciprocal Inhibition ⋮ Tailoring inputs to achieve maximal neuronal firing ⋮ Type III Responses to Transient Inputs in Hybrid Nonlinear Neuron Models ⋮ Fastest strategy to achieve given number of neuronal firing in theta model

Uses Software

• XPPAUT

Cites Work

• Subcellular oscillations and bursting
• Weakly connected neural networks
• Spatially Structured Activity in Synaptically Coupled Neuronal Networks: II. Lateral Inhibition and Standing Pulses
• Precision and reliability of periodically and quasiperiodically driven integrate-and-fire neurons
• Simulating, Analyzing, and Animating Dynamical Systems
• Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation
• Nonlinear Coupling near a Degenerate Hopf (Bautin) Bifurcation
• Effects of Noisy Drive on Rhythms in Networks of Excitatory and Inhibitory Neurons
• The Firing of an Excitable Neuron in the Presence of Stochastic Trains of Strong Synaptic Inputs
• Integrate-and-Fire Models of Nerve Membrane Response to Oscillatory Input

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