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Jonathan Rubin, David Terman, and colleagues use networks of coupled Hodgkin and Huxley-type equations to simulate pathological rhythms that emerge in Parkinson Disease -- and how the Deep Brain Stimulation therapy can bring about its astounding clinical effects.
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John Rinzel |
Bard Ermentrout |
How can we tell one neuron model from another? Will we need a new analysis for each new model? John Rinzel and Bard Ermentrout have tackled these questions with dynamical systems tools. These methods connect together broad classes of Hodgkin-Huxley type models, based on their mathematical structure and spike-firing properties. They are joined in this challenging endeavor by many in the applied mathematics community!
Rinzel-J; Ermentrout-B, Analysis of neural excitability and oscillations, In "Methods in Neuronal Modelling: From synapses to Networks,'' C. Koch and I. Segev, eds. 1989, MIT Press (revised 1998).
David Chopp, Nelson Spruston, and Bill Kath, and colleagues zoom in on a finer scale, studying Hodgkin and Huxley-type equations within the wonderfully complex branched structures of dendrites. Questions of how neuron geometry and dynamics interact are paramount, and this team brings together modern computational methods and the latest experimental techniques to find answers.
T. Jarsky, A. Roxin, W. L. Kath and N. Spruston, "Conditional dendritic spike propagation following distal synaptic activation of hippocampal CA1 pyramidal neurons, Nature Neuroscience 8 (2005), pp. 1667-1676.