Premium
Temporal Processing in the Visual Brain
Author(s) -
SIEGEL RALPH M.,
READ HEATHER L.
Publication year - 1993
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.1993.tb22967.x
Subject(s) - neuroscience , computer science , psychology
In conclusion these three results taken together--the single-unit data, the Gerstein and Mandelbrot model, and the modeled collection of neurons--suggest that the analysis of the temporal dynamics of neural systems can be furthered by the application of nonlinear dynamical theory. Furthermore, it appears that the range of temporal dynamics possible in visual cortex is quite broad, encompassing simple oscillations and more complex, perhaps chaotic, dynamics. Lastly, it appears that there are powerful principles at work that are leading to the organized behavior of a population of neurons. We suggest that these principles are constrained not only by the biological properties of the nervous system, but by profound mathematical principles that have already been described in many physical nonlinear systems under the aegis of chaos theory. If such constraints exist, we may have available to us mathematical and physical constructs that will allow us to study, model, and predict the behaviors of large collections of neurons that ultimately underlie the neural functioning of the brain.