Research Commons

A neural-based code for computing image velocity from small sets of middle temporal (MT/V5) neuron inputs

Research Commons

Show simple item record

dc.contributor.author Perrone, John A.
dc.date.accessioned 2012-11-11T21:42:57Z
dc.date.available 2012-11-11T21:42:57Z
dc.date.copyright 2012-08-01
dc.date.issued 2012
dc.identifier.citation Perrone, J A. (2012). A neural-based code for computing image velocity from small sets of middle temporal (MT/V5) neuron inputs. Journal of Vision, 12(8), 1-31. en_NZ
dc.identifier.issn 1534-7362
dc.identifier.uri http://hdl.handle.net/10289/6823
dc.description.abstract It is still not known how the primate visual system is able to measure the velocity of moving stimuli such as edges and dots. Neurons have been found in the Medial Superior Temporal (MST) area of the primate brain that respond at a rate proportional to the speed of the stimulus but it is not clear how this property is derived from the speed-tuned Middle Temporal (MT) neurons that precede area MST along the visual motion pathway. I show that a population code based on the outputs from a number of MT neurons is susceptible to errors if the MT neurons are tuned to a broad range of spatial frequencies and have receptive fields that span a wide range of sizes. I present a solution that uses the activity of just three MT units within a velocity channel to estimate the velocity using a weighted vector average (centroid) technique. I use a range of velocity channels (1, 2, 4, and 88/s) with inhibition between them so that only a single channel passes the velocity estimate onto the next stage of processing (MST). I also include a contrast-dependent redundancy-removal stage which provides tighter spatial resolution for the velocity estimates under conditions of high contrast but which trades off spatial compactness for greater sensitivity at low contrast. The new model produces an output signal proportional to the stimulus input velocity (consistent with MST neurons) and its input stages have properties closely tied to those of neurons in areas V1 and MT. en_NZ
dc.language.iso en
dc.publisher ARVO en_NZ
dc.relation.ispartof Journal of Vision
dc.subject 2D motion en_NZ
dc.subject Mt en_NZ
dc.subject Velocity en_NZ
dc.title A neural-based code for computing image velocity from small sets of middle temporal (MT/V5) neuron inputs en_NZ
dc.type Journal Article en_NZ
dc.identifier.doi 10.1167/12.8.1 en_NZ


Full-text options:

This item appears in the following Collection(s)

Show simple item record

Search Research Commons


Advanced Search

Browse

Theses

About Research Commons

My Account

Usage Statistics

Share

  • Bookmark and Share