Models of neural computation: Difference between revisions

Revision as of 03:32, 26 March 2017

Revision as of 20:41, 19 July 2017

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* {{cite journal | last1 = Tzounopoulos | first1 = T | last2 = Kim | first2 = Y | last3 = Oertel | first3 = D | last4 = Trussell | first4 = LO | year = 2004 | title = Cell-specific, spike timing-dependent plasticities in the dorsal cochlear nucleus | url = | journal = Nat Neurosci | volume = 7 | issue = | pages = 719–725 | doi=10.1038/nn1272}}

* {{cite journal | last1 = Roberts | first1 = Patrick D. | last2 = Portfors | first2 = Christine V. | year = 2008 | title = Cell-specific, spike timing-dependent plasticities in the dorsal cochlear nucleus | url = | journal = Biological Cybernetics | volume = 98 | issue = | pages = 491–507 }}

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===NEURON===

The [[Neuron (software)|NEURON]] software, developed at Duke University, is a simulation environment for modeling individual neurons and networks of neurons.<ref>{{cite web|url=http://www.neuron.yale.edu/neuron/|title=NEURON - for empirically-based simulations of neurons and networks of neurons|publisher=}}</ref> The NEURON environment is a self -contained environment allowing interface through its [[Graphical user interface|GUI]] or via scripting with [[hoc (programming language)|hoc]] or [[Python (programming language)|python]]. The NEURON simulation engine is based on a Hodgkin–Huxley type model using a Borg–Graham formulation.

==Embodiment in electronic hardware==