Authors:
Amir Zjajo
;
Carlo Galuzzi
and
Rene van Leuken
Affiliation:
Delft University of Technology, Netherlands
Keyword(s):
Noise, Programmable Gain Amplifiers, Neural Implant Front End, Analog to Digital Converters.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Instruments and Devices
;
Biomedical Sensors
;
Brain-Computer Interfaces
;
Devices
;
Human-Computer Interaction
;
Implantable Electronics
;
Low-Power Design
;
Microelectronics
;
Physiological Computing Systems
Abstract:
Integrated neural implant interface with the brain using biocompatible electrodes to provide high yield cell
recordings, large channel counts and access to spike data and/or field potentials with high signal-to-noise
ratio. By increasing the number of recording electrodes, spatially broad analysis can be performed that can
provide insights into how and why neuronal ensembles synchronize their activity. However, the maximum
number of channels is constrained with noise, area, bandwidth, power, thermal dissipation and the
scalability and expandability of the recording system. In this paper, we characterize the noise fluctuations on
a circuit-architecture level for efficient hardware implementation of programmable gain analog to digital
converter for neural signal-processing. This approach provides key insight required to address signal-to-noise
ratio, response time, and linearity of the physical electronic interface. The proposed methodology is
evaluated on a prototype converter designe
d in standard single poly, six metal 90-nm CMOS process.
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