Python scripts supporting a tutorial on the Hodgkin-Huxley model.
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Updated
Apr 21, 2024 - Python
Python scripts supporting a tutorial on the Hodgkin-Huxley model.
Implementations of various simulations for integrate and fire models, as well as conductance based models with synaptic neurotransmission
Biophysically detailed model of somatosensory thalamocortical circuit (Borges et al accepted)
Single neuron with ion concentrations to model anoxic depolarization (Zandt et al. 2011)
Stochastic Hodgkin-Huxley Model: 14x28D Langevin Simulation (Pu and Thomas, 2020).
Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)
Interaural time difference detection by slowly integrating neurons (Vasilkov Tikidji-Hamburyan 2012)
Parallel Tempering MCMC on Liu et al 1998 (Wang et al 2022)
Reduction of nonlinear ODE systems possessing multiple scales (Clewley et al. 2005)
High frequency oscillations induced in three gap-junction coupled neurons (Tseng et al. 2008)
Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
Ion concentration dynamics as a mechanism for neuronal bursting (Barreto & Cressman 2011)
Respiratory pacemaker neurons (Butera et al 1999)
Neuromechanical Model of Rat Hindlimb Walking with Two-Layer CPGs (Deng et al, 2019)
A phantom bursting mechanism for episodic bursting (Bertram et al 2008)
Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011)
Markov Chain-based Stochastic Shielding Hodgkin Huxley Model (Schmandt, Galan 2012)
A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
Sodium potassium ATPase pump (Chapman et al. 1983)
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