Title: Approximations to neurodynamics leading to psychological spaces

  • Objective: Find approximations to the probability density of spiking activities of neurobiological models or at least recurrent networks replacing neurodynamics with simnple gradient dynamics and densities in feature (psychological) spaces
  • Participants: Włodzisław Duch
  • Dates: 1996 - present
  • Result(s):
    1. Duch W (1994) Floating Gaussian Mapping for Modeling of Human Conceptual Space (KMK-TR report);
    2. Duch W (1994) A solution to the fundamental problems of cognitive sciences (KMK-TR report);
    3. Duch W (1994) Towards Artificial Minds, in: "First national conference on neural networks and their applications", Kule, 12-15.IV.1994, pp. 17-28;
    4. Duch W (1995) From cognitive models to neurofuzzy systems, in: Proc. from "System, Modelling, Control''. Zakopane, 1-5.05.1995;
    5. Duch W (1995) Psychophysics, in: European Summer School on Computing Techniques in Physics, Skalsky Dvur, 5-14.09.1995 (Lecture Notes);
    6. Duch W (1996) From cognitive models to neurofuzzy systems - the mind space approach, Systems Analysis-Modelling-Simulation 24 (1996) 53-65
    7. Duch W (1996) On simplifying brain functions, Proceedings of the Second Conference on Neural Networks and their applications, Orle Gniazdo, 30.IV-4.V.1996, pp. 118-124
    8. Duch W (1996) Computational physics of the mind, Computer Physics Communications 97: 136-153
    9. Duch W (1996) Categorization, Prototype Theory and Neural Dynamics, Proc. of SoftComputing'96, Iizuka, Japan
    10. Book in preparation: "Kognitywistyka - ujęcie jakościowe"
  • Problems:

    • Construct simple model of recurrent network and how to replace it with gradient dynamics

    Conditions, type of attractors etc under which density approximation has chances to work

    More general: requires new approach to dynamical systems; so far cell mapping and symbolic dynamics has been investigated.

    Working log (local accsess only)