• DocumentCode
    3685678
  • Title

    High-channel-count, high-density microelectrode array for closed-loop investigation of neuronal networks

  • Author

    David Tsai;Esha John;Tarun Chari;Rafael Yuste;Kenneth Shepard

  • Author_Institution
    Electrical Engineering, Columbia University, NY, USA
  • fYear
    2015
  • Firstpage
    7510
  • Lastpage
    7513
  • 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 mm2. 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.
  • Keywords
    "Electrodes","Arrays","Neurons","Field programmable gate arrays","Retina","Real-time systems","Gain"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7320129
  • Filename
    7320129