Computational Modelling in Behavioural Neuroscience
Closing the Gap Between Neurophysiology and Behaviour
Classically, behavioural neuroscience theorizes about experimental evidence in a qualitative way. However, more recently there has been an increasing development of mathematical and computational models of experimental results, and in general these models are more clearly defined and more detailed than their qualitative counter parts. These new computational models can be set up so that they are consistent with both single neuron and whole-system levels of operation, allowing physiological results to be meshed with behavioural data - thus closing the gap between neurophysiology and human behaviour. There is considerable diversity between mode…
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Produktdetails
Weitere Autoren: Mavritsaki, Eirini (Hrsg.)
- ISBN: 978-1-135-43002-3
- EAN: 9781135430023
- Produktnummer: 14831635
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2009
- Seitenangabe: 376 S.
- Plattform: EPUB
- Masse: 4'423 KB
- Abbildungen: 107 schwarz-weiße Abbildungen, 16 schwarz-weiße Fotos, 91 schwarz-weiße Zeichnungen, 1 schwarz-weiße Tabellen
Über den Autor
Dietmar Heinke is a senior lecturer at the School of Psychology, University of Birmingham. His research interests include developing computational models for a broad range of psychological phenomena.Eirini Mavritsaki is a research fellow at the University of Birmingham investigating the cognitive functions using models of spiking neurons.
4 weitere Werke von Dietmar (Hrsg.) Heinke:
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