ANNCBT Guide to Local Pages at UIUC

Artificial Neural Networks and Computational Brain Theory Group

guide to local UIUC neural-net and brain pages

Departments & Programs

Center for Biophysics and Computational Biology
CCSR - Center for Complex Systems Research
Cognitive Science Program
Computer Science Department
Linguistics Department
Neuroscience Department
Psychology Department

Labs and Research Groups

Beckman Group Pages:
Artificial Intelligence, Cognitive Neuroscience, Cognitive Science, Biological Sensors, Magnetic Resonance Imaging, Human Computer Interaction, Center for Complex Systems Research, Human Perception and Performance, Neuronal Pattern Analysis
Theoetical Biophysics Group: Neural Science - Schulton, Zeller, et al., doing some very nice work on biological visuo-motor control
Banich Lab - studying laterality, attention and interhemisphereic interactions
Robotics and Computer Vision Lab
Ponce Research Group - Part of the Robotics and Computer Vision Group
Robotics and Automation Lab - Mark Spong's robotic headquarters in the engineering department.
Decision and Control Lab- in CSRL Building
Nelson Lab - active sensory acquisition & biological robotics
Gabriel Lab - dynamic neural circuit plasticity
Amnesia Research Lab - Neal Cohen's Group
Language Production Lab and Linguistics/Speech Lab
EBL - Explanation Based Learning Group
IlliGAL - Illinois Genetic Algorithms Lab
KBS - Knowledge Based Systems Group
Wheeler Lab - GrowingNeural Networks
Cognitive Psychophysiology Laboratory
Dan Roth's Homepage - theLearning to Reason approach. Also has detailed information on the AI classes he teaches.

Other UIUC Pages

Topics in Neuroethology Web Site. There are 19 model systems web pages (picture of animal, description of behavior, neural substrates, and refs into the literature), and 10 citation analyses (bargraphs of the citation frequency from the year of publication of classic neuroethology papers).
Clay Holroyd's Brain Science Resource Kit.
The Neural,Bayesian, and Genetic Computation for Data Mining page at theNCSA Automated Learning Groupsite has some research links on ANN simulators, neural computation,and brain theory, as well as a directory of Bayesian network and geneticand evolutionary algorithm sites.

ANNCBT Member Homepages

		Jesse Reichler is a graduate student in the computer science department,studying large-scale artificial and natural neural network systems; hisresearch concerns computational models of the brain and the elaboration ofconnectionist building blocks for robust, adaptive, control systems. Recently,he has also been affiliated with The Hexapod Project, designing a biologicallyinspired robotic simulator.
		Clay Holroyd is a graduate student in the neuroscience program studying thehuman executive control system. In particular, his research concerns theError-related Negativity (ERN), an event-related potential (brainwave) elicitedwhen human subjects make errors in an experimental context. We believe the ERNto be a manifestation of the activation of a putative error detection orerror-processing system mediated by frontal brain areas, perhaps the anteriorcingulate.
		Tom Anastasio is an Assistant Professor in theDepartment of Molecular and Integrative Physiology, with a full timeappointment at the Beckman Institute. He is a member of the Center forBiophysics, and of the Programs in Bioengineering and Neuroscience. He hasrecently begun a project to model the superior colliculus.
		Dr. Sylvian Ray is a professor in the computer science department; he currently teaches a course in Artificial Neural Networks, and one in Data Acquisition and Digital Signal Processing. These days, Sylvian's primary research is the interpretation of multichannel signals.
		William Hsu is a research scientist in theAutomated Learning Groupat the National Center for SupercomputingApplications, which applies artificial neural networks,genetic algorithms,probabilistic reasoning, and integrated techniques for machine learning tolarge-scale knowledge discovery and data mining problems. Under thedirection of Professor Sylvian R. Ray, he completed hisdissertation on time series learning using probabilistic networks.He received his Ph.D. from the UIUC Department of Computer Sciencein 1998.
		Harlan Harris is a graduate student in the Computer Science Department. His primary interests (this week anyway) are in the potential of Neural Networks to model difficult psychological tasks, such as learning natural language syntax and processing analogies.
		Samarth Swarup is a graduate student in the Computer Science Department. He is involved in a project on modeling the superior colliculus, and building a self-aiming camera inspired by the superior colliculus. He is also interested in lifelong learning.

Have a pointer you think we should add? Let us know about it.

Last updated Aug 11, 1999.