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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aziz, J.N.Y. Genov, R. Bardakjian, B.R. Derchansky, M. Carlen, P.L. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Toronto Univ., Ont. (Aziz, J.N.Y.; Genov, R.) |
| Abstract | We present an architecture and VLSI implementation of a distributed neural interface and spatio-temporal signal processor. The integrated neural interface records neural activity simultaneously on 256 voltage-mode channels. Each channel implements differential signal acquisition, amplification and band-pass filtering. An array of in-channel double-memory sample-and-hold cells stores two 16 times 16 electronic images of distributed neural activity consecutively in time. A column-parallel double sampling circuit performs frame differencing in order to identify spatio-temporal neural activity patterns. A 3 mm times 4.5 mm integrated prototype was fabricated in a 0.35 mum CMOS technology. The functionality of the neural interface was experimentally demonstrated in extracellular in vitro recordings from the hippocampus of mice. The utility of the on-sensory-plane signal processor was validated in simulated wavefront detection performed on experimentally measured distributed neural activity recording |
| Sponsorship | The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS) |
| Starting Page | 4 |
| Ending Page | 5078 |
| File Size | 2306479 |
| Page Count | 5075 |
| File Format | |
| ISBN | 0780393899 |
| DOI | 10.1109/ISCAS.2006.1693773 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-21 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal processing CMOS technology Very large scale integration Voltage Band pass filters Filtering Image sampling Signal sampling Circuits Prototypes |
| Content Type | Text |
| Resource Type | Article |
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