Simulating physiological and morphological properties of neurons with SNNAP (Simulator for Neural Networks and Action Potentials)
Year: 2000
Type: article
Abstract: Introduction Computer simulations are useful tools for teaching neurophysiological principles as well as for research. To make the tools of computational neuroscience more widely available, we previously developed a Simulator for Neural Networks and Action Potentials (SNNAP). With SNNAP, all aspects of developing and running simulations are mediated via a user-friendly, graphical interface and no programing skills are necessary. SNNAP was designed as a tool for rapidly developing and simulating realistic models of single neurons and small neural networks. The electrical properties of individual neurons are described with HodgkinHuxley type ionic currents. The connections among neurons can be electrical, modulatory or chemical, and they can express many forms of plasticity. SNNAP also includes descriptions of intracellular second messengers and ions, which, in turn, can modulate ionic conductances or synaptic transmission. SNNAP also can simulate current flow in multicompartmental models of neurons. The specific details of the first version of SNNAP were described in Ziv et al. (J. Neurophysiol., 71: 294-308, 1994). This poster describes a new version (JAVA Ver. 5.1d) of SNNAP, which is now available.
DOI: 10.5283/epub.28516
Authors: Baxter, D. A., Cai, Y., Brembs, Björn, Byrne, J. H.
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1014795461