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Content Provider | IEEE Xplore Digital Library |
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Author | Tsai, D. John, E. Chari, T. Yuste, R. Shepard, K. |
Copyright Year | 2015 |
Description | Author affiliation: Electr. Eng., Columbia Univ., Columbia, NY, USA (Tsai, D.; Chari, T.; Shepard, K.) || Biol. Sci., Columbia Univ., Columbia, NY, USA (Yuste, R.) || Columbia Univ., Columbia, NY, USA (John, E.) |
Abstract | We present a system for large-scale electrophysiological recording and stimulation of neural tissue with a planar topology. The recording system has 65,536 electrodes arranged in a 256 × 256 grid, with 25.5 μm pitch, and covering an area approximately 42.6 $mm^{2}.$ The recording chain has 8.66 μV rms input-referred noise over a 100 ~ 10k Hz bandwidth while providing up to 66 dB of voltage gain. When recording from all electrodes in the array, it is capable of 10-kHz sampling per electrode. All electrodes can also perform patterned electrical microstimulation. The system produces ~ 1 GB/s of data when recording from the full array. To handle, store, and perform nearly real-time analyses of this large data stream, we developed a framework based around Xilinx FPGAs, Intel x86 CPUs and the NVIDIA Streaming Multiprocessors to interface with the electrode array. |
Starting Page | 7510 |
Ending Page | 7513 |
File Size | 926916 |
Page Count | 4 |
File Format | |
ISSN | 1557170X |
e-ISBN | 9781424492718 |
DOI | 10.1109/EMBC.2015.7320129 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-08-25 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Electrodes Arrays Neurons Field programmable gate arrays Retina Real-time systems Gain |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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