DocumentCode
2704866
Title
Identifying causal structure in a biological neural network
Author
Maida, Anthony S.
Author_Institution
Center for Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA
fYear
2000
fDate
2000
Firstpage
126
Lastpage
129
Abstract
A simulator for the Burgess, Recce, and O´Keefe (1994) BRO model of rodent navigation was built. Initial experiments did not reproduce the navigation performance reported by BRO. To determine the cause of the discrepancy, we reconstructed and reanalyzed their model. We were able to verify their main claim that if phase-modulated place cells act as radial basis functions, then they computationally have the ability to support memory-based navigation. However, our simulations were unable to reproduce their model of hippocampal cell place field acquisition
Keywords
brain models; neural nets; neurophysiology; BRO model; biological neural network; causal structure identification; hippocampal cell place field acquisition; memory-based navigation; phase-modulated place cells; radial basis functions; rodent navigation; Biological neural networks; Biological system modeling; Brain modeling; Computational modeling; Displays; Fires; Intelligent networks; Navigation; Neurons; Rodents;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1082-3409
Print_ISBN
0-7695-0909-6
Type
conf
DOI
10.1109/TAI.2000.889857
Filename
889857
Link To Document