Article thumbnail

Neural implementation of psychological spaces

By Wlodzislaw Duch

Abstract

Psychological spaces give natural framework for construction of mental representations. Neural model of psychological spaces provides a link between neuroscience and psychology. Categorization performed in high-dimensional spaces by dynamical associative memory models is approximated with low-dimensional feedforward neural models calculating probability density functions in psychological spaces. Applications to the human categorization experiments are discussed

Topics: Behavioral Neuroscience, Cognitive Psychology, Artificial Intelligence, Dynamical Systems, Neural Nets, Neural Modelling
Year: 1998
OAI identifier: oai:cogprints.org:915

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles

Citations

  1. (1996). A model of amnesia and consolidation of memory.
  2. (1993). Mathematical analysis of a competitive network for attention.
  3. (1987). Models of Psychological Space,
  4. (1997). Platonic model of mind as an approximation to neurodynamics, in: Brain-like computing and intelligent information systems,
  5. (1995). Siapas, Mriganka Sur, Vector-space integration of local and long-range information in visual cortex.
  6. (1987). Simulation of chaotic EEG patterns with a dynamic model of the olfactory system.
  7. (1993). The ‘Ideal homunculus’: statistical inferences from neural population responses. In:
  8. (1995). The Hebbianparadigmreintegrated: local reverberations as internal representations.
  9. (1987). Toward a universal law of generalization for psychological science,
  10. (1990). Unified theories of cognition.