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Content Provider | IEEE Xplore Digital Library |
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Author | Folowosele, F.O. Vogelstein, R.J. Etienne-Cummings, R. |
Copyright Year | 2007 |
Description | Author affiliation: Johns Hopkins Univ., Baltimore (Folowosele, F.O.; Vogelstein, R.J.; Etienne-Cummings, R.) |
Abstract | Complex cells in the visual cortex utilize a maximum (MAX) operation to pool the outputs of simple cells to achieve feature specificity and invariance. We demonstrate a biologically-plausible MAX network for nonlinear pooling in hardware, using a reconfigurable multichip address event representation based VLSI system. With this implementation we have shown that we can implement simple and advanced stages of visual processing on the same chip and are one step closer to constructing an autonomous, continuous-time, biologically- plausible hierarchical model of visual information processing using large-scale arrays of identical silicon neurons. |
Starting Page | 79 |
Ending Page | 82 |
File Size | 693372 |
Page Count | 4 |
File Format | |
ISBN | 9781424415243 |
DOI | 10.1109/BIOCAS.2007.4463313 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-11-27 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Biological system modeling Neurons visual cortex Retina Transceivers integrate-and-fire array transceiver MAX network Neuromorphics Complex cells Computer architecture Brain modeling Spatial filters Hardware Large-scale systems |
Content Type | Text |
Resource Type | Article |
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