title: Unified selective sorting approach to analyse multi-electrode extracellular data.
abstract: Extracellular data analysis has become a quintessential method for understanding the neurophysiological responses to stimuli. This demands stringent techniques owing to the complicated nature of the recording environment. In this paper, we highlight the challenges in extracellular multi-electrode recording and data analysis as well as the limitations pertaining to some of the currently employed methodologies. To address some of the challenges, we present a unified algorithm in the form of selective sorting. Selective sorting is modelled around hypothesized generative model, which addresses the natural phenomena of spikes triggered by an intricate neuronal population. The algorithm incorporates Cepstrum of Bispectrum, ad hoc clustering algorithms, wavelet transforms, least square and correlation concepts which strategically tailors a sequence to characterize and form distinctive clusters. Additionally, we demonstrate the influence of noise modelled wavelets to sort overlapping spikes. The algorithm is evaluated using both raw and synthesized data sets with different levels of complexity and the performances are tabulated for comparison using widely accepted qualitative and quantitative indicators.
authors.affiliation: Institute for Intelligent Systems Research and Innovation, Deakin University, Vic 3216, Australia.
authors.forename: R
authors.initials: R
authors.lastname: Veerabhadrappa
authors.affiliation: Institute for Intelligent Systems Research and Innovation, Deakin University, Vic 3216, Australia.
authors.forename: C P
authors.initials: CP
authors.lastname: Lim
authors.affiliation: Institute for Intelligent Systems Research and Innovation, Deakin University, Vic 3216, Australia.
authors.forename: T T
authors.initials: TT
authors.lastname: Nguyen
authors.affiliation: IMPACT Strategic Research Centre, Barwon Health, Deakin University, Vic 3216, Australia.
authors.forename: M
authors.initials: M
authors.lastname: Berk
authors.affiliation: Department of Psychiatry &Psychology, Mayo Clinic, Rochester, MN 55905, USA.
authors.forename: S J
authors.initials: SJ
authors.lastname: Tye
authors.affiliation: Australian Animal Health Laboratory, CSIRO, Vic 3219, Australia.
authors.forename: P
authors.initials: P
authors.lastname: Monaghan
authors.affiliation: Institute for Intelligent Systems Research and Innovation, Deakin University, Vic 3216, Australia.
authors.forename: S
authors.initials: S
authors.lastname: Nahavandi
authors.affiliation: Institute for Intelligent Systems Research and Innovation, Deakin University, Vic 3216, Australia.
authors.forename: A
authors.initials: A
authors.lastname: Bhatti