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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ip, H.M.D. Drakakis, E.M. Bharath, A.A. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Bioeng., Imperial Coll., London (Ip, H.M.D.; Drakakis, E.M.; Bharath, A.A.) |
| Abstract | This work presents the use of a two-layered recursive network to produce biomimetic visual spatiotemporal bandpass receptive fields. Simulation results of the transistor network based on an array of spatially coupled polyphase Gm-C filters are also included. Our bioinspired approach captures the essence of efficient processing in recursive cortical networks and at the same time backed by the vigorous analytical tools found in cellular neural network theory within the CAS community. |
| Starting Page | 134 |
| Ending Page | 137 |
| File Size | 531223 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424404360 |
| DOI | 10.1109/BIOCAS.2006.4600326 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-29 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filtering Simulation Capacitors Bioinspired Signal Processing Finite impulse response filter Cellular Neural Networks Band pass filters Three dimensional displays Recursive nonseparable 3D Spatiotemporal Filters Gain |
| Content Type | Text |
| Resource Type | Article |
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