title: An analogue front-end model for developing neural spike sorting systems.
abstract: In spike sorting systems, front-end electronics is a crucial pre-processing step that not only has a direct impact on detection and sorting accuracy, but also on power and silicon area. In this work, a behavioural front-end model is proposed to assess the impact of the design parameters (including signal-to-noise ratio, filter type/order, bandwidth, converter resolution/rate) on subsequent spike processing. Initial validation of the model is provided by applying a test stimulus to a hardware platform and comparing the measured circuit response to the expected from the behavioural model. Our model is then used to demonstrate the effect of the Analogue Front-End (AFE) on subsequent spike processing by testing established spike detection and sorting methods on a selection of systems reported in the literature. It is revealed that although these designs have a wide variation in design parameters (and thus also circuit complexity), the ultimate impact on spike processing performance is relatively low (10-15%). This can be used to inform the design of future systems to have an efficient AFE whilst also maintaining good processing performance.
authors.forename: Deren Y
authors.initials: DY
authors.lastname: Barsakcioglu
authors.forename: Yan
authors.initials: Y
authors.lastname: Liu
authors.forename: Pooja
authors.initials: P
authors.lastname: Bhunjun
authors.forename: Joaquin
authors.initials: J
authors.lastname: Navajas
authors.forename: Amir
authors.initials: A
authors.lastname: Eftekhar
authors.forename: Andrew
authors.initials: A
authors.lastname: Jackson
authors.forename: Rodrigo
authors.initials: R
authors.lastname: Quian Quiroga
authors.forename: Timothy G
authors.initials: TG
authors.lastname: Constandinou
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001479:Basal Ganglia / Q000502:physiology; D001921:Brain / Q000502:physiology*; D062207:Brain-Computer Interfaces; D004827:Epilepsy / Q000503:physiopathology; D000882:Haplorhini; D006801:Humans; D008959:Models, Neurological; D019579:Neocortex / Q000502:physiology; D009474:Neurons; D012815:Signal Processing, Computer-Assisted