1999/02/01 by Henry C. Tuckwell, Tuckwell, Henry C.
Computer Science · #Adaptation and Self-Organizing Systems (nlin.AO) #Biological Physics (physics.bio-ph) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Mathematical Physics (math-ph) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Quantitative Biology (q-bio) #Statistical Mechanics (cond-mat.stat-mech)
paper · pdf · doi:10.48550/arxiv.cond-mat/9902011
openalex publication_date 1999/02/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The use of cortical field potentials rather than the details of spike trains as the basis for cognitive information processing is proposed. This results in a space of cognitive elements with natural metrics. Sets of spike trains may also be considered to be points in a multidimensional metric space. The closeness of sets of spike trains in such a space implies the closeness of points in the resulting function space of potential distributions.