Skip to main content
Article thumbnail
Location of Repository

Neural implementation of psychological spaces

By Wlodzislaw Duch


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:

Suggested articles


  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.

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