DocumentCode
671451
Title
A spiking thalamus model for form and motion processing of images
Author
Chelian, Suhas E. ; Srinivasa, Narayan
Author_Institution
Inf. Syst. & Sci. Lab., HRL Labs., LLC, Malibu, CA, USA
fYear
2013
fDate
4-9 Aug. 2013
Firstpage
1
Lastpage
6
Abstract
The thalamus, far from being a simple relay, supports several functions including attention and awareness. Recent spiking models of the thalamus tend to focus on abstract thalamocortical features such as rhythms and synchrony. Here a new spiking retino-thalamic model is presented that reproduces several aspects in visual processing including distinct form and motion processing pathways. Using test and natural image sequences, differences between parvocellular and magnocellular relay neurons are studied. In line with several experimental results, parvocellular neurons are found to be more sensitive to changes in color (necessary for form processing) than temporal frequency (necessary for motion processing) and conversely for magnocellular neurons. This model can in turn be used as input into subsequent cortical models or as a tool to aid in experimentation. Future extensions could include modeling brainstem or cortical influence on thalamic processing, as well as the control of virtual agents.
Keywords
cellular biophysics; cellular neural nets; image motion analysis; image sequences; medical image processing; abstract thalamocortical features; cortical influence; cortical models; image motion processing; image sequences; magnocellular neurons; magnocellular relay neuron; modeling brainstem; motion processing pathways; parvocellular neurons; spiking retino-thalamic model; spiking thalamus model; temporal frequency; thalamic processing; virtual agents; Firing; Image color analysis; Image sequences; Neurons; Relays; Retina; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2013 International Joint Conference on
Conference_Location
Dallas, TX
ISSN
2161-4393
Print_ISBN
978-1-4673-6128-6
Type
conf
DOI
10.1109/IJCNN.2013.6706790
Filename
6706790
Link To Document