Conference proceeding
Classification of single-trial neural responses to cutaneous stimulation
Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), v 3, pp 2144-2146 Vol.3
2003
Abstract
Given the response of a population of neurons to a set of stimuli (or events), classification methods have been used to determine which stimulus generated the response on a single-trial basis. Various linear and non-linear methods have been used to solve this classification problem with surprising little performance differences. We therefore developed a PSTH-based classification method with the aim of maximizing computational efficiency rather than classification performance. This method was tested by applying it to populations of neurons simultaneously recorded from the somatosensory cortex of the rat during cutaneous stimulation of the forepaw and the results were compared to linear discriminant analysis (LDA), which has been considered the "standard". This method performs at least as well as LDA and it is particularly efficient for complete cross-validation designs.
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Details
- Title
- Classification of single-trial neural responses to cutaneous stimulation
- Creators
- G Foffani - Drexel UniversityB Tutunculuer - Drexel UniversityK.A Moxon - Drexel University
- Publication Details
- Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), v 3, pp 2144-2146 Vol.3
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000189395300560
- Other Identifier
- 991019168419704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Cardiac & Cardiovascular Systems
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Medicine, Research & Experimental
- Neurosciences
- Radiology, Nuclear Medicine & Medical Imaging