Artificial neural networks: new perspectives in neuropsychiatry

Autor: Vasiliki Psarra, Alexander Gerontas, Konstantina Lagiou, Christos Garnetas, Charalambos Mitsonis, Zoe Santa, Nikolaos Dimopoulos
Rok vydání: 2006
Předmět:
Zdroj: Annals of General Psychiatry, Vol 5, Iss Suppl 1, p S317 (2006)
ISSN: 1744-859X
DOI: 10.1186/1744-859x-5-s1-s317
Popis: Results Discussion There is evidence for a continuously growing scientific interest in neural network models within the last two decades in medicine and especially in neuropsychiatry, as shown by the increasing number of relevant published papers. Most recent papers, in which neural network models give plausible mechanisms for cognitive functions such as associative memory, and for psychiatric symptoms such as delusions and auditory hallucinations, are reviewed. The issue of how the brain represents information at the neuronal level is crucial because it sheds light from another perspective to cognition and mental illnesses and provides a potential target for therapeutic interventions. from International Society on Brain and Behaviour: 2nd International Congress on Brain and Behaviour Thessaloniki, Greece. 17–20 November 2005
Databáze: OpenAIRE