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 :
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