The NeuroProcessor: An Integrated Interface to Biological by Yevgeny Perelman

By Yevgeny Perelman

This publication provides the Neuroprocessor, a singular computational neuronal interface equipment carried out in VLSI expertise. as well as neuronal signs acquisition, it might probably procedure the information, generate stimuli and transmit the knowledge over instant channels, whereas utilizing minimal electrical power. The NeuroProcessor opens with a quick heritage on neuronal conversation and microelectrode recording. It introduces 3 generations of the Neuroprocessor and provides their structure, circuits and algorithms. purposes to a miniature head-stage for in-vivo experiments and multi-electrode arrays for in-vitro experiences are defined.

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In [62, 87] it was suggested to make the gate potential of the MOS devices adjustable. The corner frequency of the high-pass filter can thus be controlled. [67] suggests a digital feedback for DC blocking: The output signal is to be digitized, processed and fed back to the amplifier negative input through a D/A converter. No implementation is published though, and the approach raises certain questions, regarding the implementation of a D/A converter with sub-millivolt accuracy and output noise at the microvolt level.

Low−Pass filter (a) Off−chip (b) Fig. 1. (a) DC blocking with low-pass feedback. (b) Implementation in [58] Fully integrated approaches were also demonstrated. One of the earliest fully integrated neuronal preamplifiers was published in [59]. A diodecapacitor feedback path was utilized for low-frequency filtering. A diode typically exhibits a very large small-signal impedance at near-zero current levels; this was used to achieve a large time constant. The drawback of the approach (as we see it) is that the input differential pair was placed outside the feedback loop.

15 shows the behavior of the input HPF for several DAC settings, as measured on the LFP channel. Spike and LFP channel noise PSD is shown in Fig. 16. Noise PSD was measured at the output and divided by the channel gain. Black solid lines represent the simulated curves. The noise measured is indeed close to the expectations with an exception for the displaced splitter frequency. 9 μV for spike and 14 μV for LFP. On the LFP channel the 1/f 2 curve of the feedback resistor is clearly visible. The LFP noise measurement is limited by the quantization noise of the sample-and-hold, not seen on the spike channel, as the LFP gain is almost ten times lower.

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