Article thumbnail
Location of Repository

First Steps Toward a Computational Theory of Autism

By Christian Balkenius and Petra Bjorne

Abstract

A computational model with three interacting components for context sensitive reinforcement learning, context processing and automation can autonomously learn a focus attention and a shift attention task. The performance of the model is similar to that of normal children, and when a single parameter is changed, the performance on the two tasks approaches that of autistic children

Topics: Developmental Psychology, Machine Learning
Publisher: Lund University Cognitive Studies
Year: 2004
OAI identifier: oai:cogprints.org:4055

Suggested articles

Citations

  1. (2000). A computational model of context processing, In
  2. (1999). A Neurocomputational Model for Autism,
  3. (1988). A neuronal model of classical conditioning.
  4. (1992). A new role for the cerebellum in cognitive operations.
  5. (1994). An artificial neural network analogue of learning in autism.
  6. (2002). An attempt in modelling autism using self-organizing maps. In
  7. (1997). Attention and autism; behavioral and electrophysical evidence. In
  8. (2000). Attention, habituation and conditioning: Toward a computational model,
  9. (2000). Autism and Coherence:
  10. (2004). Cognitive modeling with context sensitive reinforcement learning,
  11. (2003). Cognitive processes in contextual cueing. In
  12. (2002). Coherence as an Explanation for Theory of Mind Task failure in Autism,
  13. (1994). Diagnostic and statistical manual of mental disorders (DSM-IV).
  14. (2001). Dissociating top-down attentional control from selection perception and action,
  15. (1989). Explorations in parallel distributed processing.
  16. (1994). Impairment in shifting attention in autistic and cerebellar patients.
  17. (1997). Inadequate cortical feature maps: a neural circuit theory of autism.
  18. (1997). Neurological aspects of autism, In
  19. (1995). Self-organizning maps.
  20. (2000). The neural mechanisms of top-down attentional control.

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