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Abstract
A bio-inspired silicon Mixed Signal integrated circuit is designed in this paper to emulate the brain development in Superior Colliculus of barn owl. For the juvenile barn owl, it can adapt localization mismatch to prism wearing. Visual and auditory maps alignment in Superior Colliculus is adjusted. Visual and auditory input information can recover their registration after several weeks’ training. A mathematical model has been built previously to emulate this process. Based on the model, we designed a VLSI circuit in 0.35μm CMOS process which has been fabricated. In this paper we present the chip test results of a silicon superior colliculus and show a novel method for adaptive spiking neural information integration when disparity is caused by the environment.
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Authors and Affiliations
Shanghai Jiao Tong University, China
Juan Huo
Zhengzhou University, China
Juan Huo
The University of Edinburgh, UK
Alan Murray
- Juan Huo
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- Alan Murray
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Editors and Affiliations
College of Information Science and Engineering, Northeastern University, 110004, Shenyang, P.R. China
Huaguang Zhang
Dept. of Computing Science and Mathematics, University of Stirling, FK9 4LA, Stirling, Scotland, UK
Amir Hussain
Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
Derong Liu
Northeastern University, School of Information Science and Engineering, 110004, Shenyang, Liaoning, People’s Republic of China
Zhanshan Wang
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Huo, J., Murray, A. (2012). VLSI Implementation of Barn Owl Superior Colliculus Network for Visual and Auditory Integration. In: Zhang, H., Hussain, A., Liu, D., Wang, Z. (eds) Advances in Brain Inspired Cognitive Systems. BICS 2012. Lecture Notes in Computer Science(), vol 7366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31561-9_13
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