2003/06/06 by Dima Rinberg, Rinberg, Dima, William Bialek +5
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Biological Physics (physics.bio-ph) #Blind Source Separation Techniques #Cellular Automata and Applications #DNA and Biological Computing #Data Analysis #FOS: Biological sciences #FOS: Physical sciences #Quantitative Methods (q-bio.QM) #Statistics and Probability (physics.data-an) #physics.bio-ph #physics.data-an #q-bio.QM
paper · pdf · doi:10.48550/arxiv.physics/0306056
30 pages, 9 figures
openalex publication_date 2003/06/06 · arxiv created 2003/06/09 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper deals with the problem of extracting the activity of individual neurons from multi-electrode recordings. Important aspects of this work are: 1) the sorting is done in two stages - a statistical model of the spikes from different cells is built and only then are occurrences of these spikes in the data detected by scanning through the original data, 2) the spike sorting is done in the frequency domain, 3) strict statistical tests are applied to determine if and how a spike should be classiffed, 4) the statistical model for detecting overlaping spike events is proposed, 5) slow dynamics of spike shapes are tracked during long experiments. Results from the application of these techniques to data collected from the escape response system of the American cockroach, Periplaneta americana, are presented.