Autism and ADHD – Two Ends of the Same Spectrum?
Analysis of dynamics of biologically motivated neural networks allows for studying non-linear processes responsible for cognitive functions and thus provides adequate language to understand complex mental processes, including psychiatric syndromes and disorders. Problems with attention shifts that are at the roots of Autism Spectrum Disorders (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD), have been investigated using network model of Posner Visual Orienting Task (PVOT). Changing parameters that control biophysical properties of model neurons and cause network dysfunctions provides plausible explanations of many strange ASD and ADHD phenomena.
KeywordsAutism Spectrum Disorders ASD Attention-Deficit/Hyperactivity Disorder ADHD neural networks neurodynamics fuzzy symbolic dynamics
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- 1.Consortium for Neuropsychiatric Phenomics, http://www.phenomics.ucla.edu
- 2.Duch, W.: Brains and Education: Towards Neurocognitive Phenomics. In: Reynolds, N., Webb, M., Sysło, M.M., Dagiene, V. (eds.) Learning While We are Connected, vol. 3, pp. 12–23Google Scholar
- 3.Spivey, M.: The continuity of mind. OUP, New York (2007)Google Scholar
- 5.Grossberg, S.: Neural Dynamics of Autistic Behaviors: Learning, Recognition, Attention, Emotion, Timing, and Social Cognition. In: Patel, V.B., Preedy, V.R., Martin, C.R. (eds.) The Comprehensive Guide to Autism, Springer, London (2012)Google Scholar
- 6.Dobosz, K., Mikołajewski, D., Wójcik, G.M., Duch, W.: Simple Cyclic Movements as a Distinct Autism Feature–Computational Approach. Computer Science (in print, 2013)Google Scholar
- 13.Zimmerman, A.W. (ed.): Autism: Current theories and evidence. Humana Press (2008)Google Scholar