Past, present and future of spike sorting techniques. Brain Res Bull 2015 Oct;119(Pt B):106-17
Date
05/02/2015Pubmed ID
25931392Pubmed Central ID
PMC4674014DOI
10.1016/j.brainresbull.2015.04.007Scopus ID
2-s2.0-84948384754 (requires institutional sign-in at Scopus site) 288 CitationsAbstract
Spike sorting is a crucial step to extract information from extracellular recordings. With new recording opportunities provided by the development of new electrodes that allow monitoring hundreds of neurons simultaneously, the scenario for the new generation of algorithms is both exciting and challenging. However, this will require a new approach to the problem and the development of a common reference framework to quickly assess the performance of new algorithms. In this work, we review the basic concepts of spike sorting, including the requirements for different applications, together with the problems faced by presently available algorithms. We conclude by proposing a roadmap stressing the crucial points to be addressed to support the neuroscientific research of the near future.
Author List
Rey HG, Pedreira C, Quian Quiroga RAuthor
Hernan Gonzalo Rey PhD Assistant Professor in the Neurosurgery department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
Action PotentialsAlgorithms
Animals
Computer Simulation
Electrodes, Implanted
Humans
Models, Neurological
Neuroimaging
Neurons
