Simulation of Neuronal Map Formation in the Primary Visual Cortex
Joachim Noll,
Oliver G. Wenisch () and
J. Leo van Hemmen
Additional contact information
Joachim Noll: Technical University of Munich, Theoretical Biophysics Physics Department
Oliver G. Wenisch: Technical University of Munich, Theoretical Biophysics Physics Department
J. Leo van Hemmen: Technical University of Munich, Theoretical Biophysics Physics Department
A chapter in High Performance Computing in Science and Engineering, Munich 2002, 2003, pp 135-142 from Springer
Abstract:
Abstract For nearly all animals the perception of moving objects is of vital importance to get alarmed by an approaching predator or for detecting suitable prey for the animal itself. With regard to neuronal coding of visual-motion signals, the primary visual cortex is the brain area which contains specialized neurons that selectively respond to certain features of a stimulus perceived by the photo sensors in the retina of the eye. In this project we have focused on the investigation of the emergence of direction-selective cell responses, i.e., the response properties of neurons that are activated only or at least most strongly whenever a luminance step within the visual input is moving in a certain characteristic direction over the cell’s receptive field in the retina. Such a cell thus shows a response preference for this particular direction of stimulus movement. Another important response specificity of visual neurons is their orientation selectivity, because the activation of a cell is also dependent on the orientation of a luminance step within its receptive field.
Keywords: Visual Cortex; Primary Visual Cortex; Excitatory Neuron; Synaptic Coupling; Spike Event (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55526-8_12
Ordering information: This item can be ordered from
http://www.springer.com/9783642555268
DOI: 10.1007/978-3-642-55526-8_12
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().