Tailoring inputs to achieve maximal neuronal firing

DOI10.1186/2190-8567-1-3zbMath1259.92011OpenAlexW1991805872WikidataQ41184126 ScholiaQ41184126MaRDI QIDQ1941934

Jiaoyan Wang, Jonathan E. Rubin, Willie Costello

Publication date: 22 March 2013

Published in: The Journal of Mathematical Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/2190-8567-1-3

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Neural biology (92C20) Numerical solution of boundary value problems involving ordinary differential equations (65L10)

Related Items (3)

Pulse inputs affect timings of spikes in neurons with or without time delays ⋮ Type III Responses to Transient Inputs in Hybrid Nonlinear Neuron Models ⋮ Fastest strategy to achieve given number of neuronal firing in theta model

Cites Work

• Subcellular oscillations and bursting
• n:m phase-locking of weakly coupled oscillators
• Dynamics of two mutually coupled slow inhibitory neurons
• The geometry of neuronal recruitment
• Effects of Noisy Drive on Rhythms in Networks of Excitatory and Inhibitory Neurons
• On the Phase Reduction and Response Dynamics of Neural Oscillator Populations
• A Computational Tool for the Reduction of Nonlinear ODE Systems Possessing Multiple Scales

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