neural networks research group
areas
demos
people
projects
publications
software
Visual Cortex
Our goal is to understand the development and function of the visual cortex through computational modeling. The main idea is that the visual cortex is a continuously-adapting structure in a dynamic equilibrium with the external environment, and that lateral connections and synchronization of spiking activity are crucial to its behavior. This idea is expressed in the LISSOM model of the visual cortex, which is then used to gain insight into psychological and biological phenomena such as development of visual areas, visual illusions and aftereffects, perceptual grouping, and face detection.
People
James A. Bednar
Yoonsuck Choe
Judah De Paula
Igor Farkas
Stefanie Jegelka
Risto Miikkulainen
Enrique Muro
Jefferson Provost
Joseph Sirosh
Yiu Fai Sit
Tal Tversky
Publications
1-5
6-10
11-15
16-20
21-25
26-30
31-35
36-40
41-45
46-50
View All 50
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing
(2009)
Developing Complex Systems Using Evolved Pattern Generators
(2007)
A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes
(2007)
Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1
(2006)
Self-Organization of Hierarchical Visual Maps with Feedback Connections
(2006)
Projects
1-5
6-10
View All 10
Trichromatic LISSOM
Developing Complex Systems Using Evolved Pattern Generators
Self-Organization of Directional Selectivity
PGLISSOM: Perceptual Grouping in a Self-Organizing Map of Spiking Neurons
GLISSOM: Modeling Large Cortical Maps
Software
LISSOM
PGLISSOM