Work

From multiple neural cortical networks to motor mechanical behavior: the importance of inherent learning over separable space-time length scales

Year: 2008

Type: article

Abstract: We find that (1) several stable spatio-temporal representations \nco-exist in a given cell which permits identification \nand selection of different motor programs to operate the \nexternal device, and (2) these multiple representations \ncan be extracted from the multi-electrode neuron spike \npatterns reflecting various spatial re-parameterizations \ncompatible with the ones imposed by the external \nmechanical device. A neural theoretical formulation in \nterms of a Hodgkin-Huxley excitatory and inhibitory neural \nring network is used [5] to model multi-electrode spiking \nstatistics, explicitly considering the separation of \ndifferent motor dynamical times.

Source: BMC Neuroscience

DOI: 10.1186/1471-2202-9-s1-p70

Authors: Kanuresh Ganguly, Elizabeth B Torres, Jorge V José, Jose M Carmena

Institutions: University of California, San Francisco, California Institute of Technology, University at Buffalo, State University of New York, University of California, Berkeley

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,990

Funders: National Science Foundation, National Institutes of Health