Solution methods for a new class of simple model neurons
- Author
- HUMPHRIES, Mark D1 ; GURNEY, Kevin1
[1] Adaptive Behaviour Research Group, Department of Psychology, University of Sheffield, Sheffield S10 2TP, United Kingdom - Source
Neural computation. 2007, Vol 19, Num 12, pp 3216-3225, 10 p ; ref : 1/4 p
- ISSN
- 0899-7667
- Scientific domain
- Computer science; Neurology; Psychology, psychopathology, psychiatry
- Publisher
- MIT Press, Cambridge, MA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Calcul neuronal Génération Modèle simulation Neurone Réseau neuronal Potentiel action
- Keyword (en)
- Neural computation Generation Simulation model Neuron Neural network Spike
- Keyword (es)
- computación neuronal Generación Modelo simulación Neurona Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C07 Miscellaneous
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
- Discipline
- Biological sciences. Generalities. Modelling. Methods Computer science : theoretical automation and systems Generalities in biological sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19215946
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1162/neco.2007.19.12.3216 
https://dx.doi.org/10.1162/neco.2007.19.12.3216
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