2007/08/09 by David K. Hsu, Hsu, David, Murielle Hsu +7
Computer Science · Engineering · Neuroscience · #Analog and Mixed-Signal Circuit Design #FOS: Biological sciences #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Music Perception #Quantitative Methods (q-bio.QM)
paper · pdf · doi:10.48550/arxiv.0708.1341
openalex publication_date 2007/08/09 · openalex created_date 2022/09/05 · openalex updated_date 2026/07/28
We present a simple algorithm for detecting oscillatory behavior in discrete\ndata. The data is used as an input driving force acting on a set of simulated\ndamped oscillators. By monitoring the energy of the simulated oscillators, we\ncan detect oscillatory behavior in data. In application to in vivo deep brain\nbasal ganglia recordings, we found sharp peaks in the spectrum at 20 and 70 Hz.\nThe algorithm is also compared to the conventional fast Fourier transform and\ncircular statistics techniques using computer generated model data, and is\nfound to be comparable to or better than fast Fourier transform in test cases.\nCircular statistics performed poorly in our tests.\n