title: Exploiting the 1/f structure of neural signals for the design of integrated neural amplifiers.
abstract: Neural amplifiers require a large time-constant high-pass filter at approximately 1Hz to reject large DC offsets while amplifying low frequency neural signals. This high pass filter is typically realized using large area capacitors and teraohm resistances which makes integration difficult. In this paper, we present a novel topology for a neural amplifier which exploits the (1/f)(n) power spectra of local field potentials (LFP). Using a high-pass filter at approximately 100Hz, we pre-filter the LFP before amplification. Post digitization, we can recover the LFP signal by building the inverse of the high pass filter in software. We built an array of neural amplifiers based on this principle and tested it on rats chronically implanted with microelectrode arrays. We found that we could recover the initial LFP signal and the power spectral information over time with correlation coefficient greater than 0.94.
authors: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720 USA. subbu@berkeley.edu
authors: Subramaniam
authors: S
authors: Venkatraman
authors: Craig
authors: C
authors: Patten
authors: Jose M
authors: JM
authors: Carmena
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000669:Amplifiers, Electronic; D000818:Animals; D004867:Equipment Design; D007091:Image Processing, Computer-Assisted; D009474:Neurons / Q000502:physiology*; D011199:Potentiometry; D051381:Rats; D015398:Signal Transduction