Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons
- Author
- KOYAMA, Shinsuke1 ; KASS, Robert E1
[1] Department of Statistics and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213, United States - Source
Neural computation. 2008, Vol 20, Num 7, pp 1776-1795, 20 p ; ref : 2 p.1/4
- 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)
- Analyse donnée Calcul neuronal Comportement Distance Estimation moyenne Loi probabilité Modèle Markov Modèle empirique Modèle mathématique Méthode analytique Méthode statistique Petit échantillon Processus ponctuel Processus renouvellement Réseau neuronal Stimulus Variabilité Variance 62-07 62J10 Neurone integrate-and-fire Potentiel action Train potentiel action
- Keyword (en)
- Data analysis Neural computation Behavior Distance Mean estimation Probability distribution Markov model Empirical model Mathematical model Analytical method Statistical method Small sample Point process Renewal process Neural network Stimulus Variability Variance Integrate-and-fire neuron Spike Neuronal discharge
- Keyword (es)
- Análisis datos computación neuronal Conducta Distancia Estimación promedio Ley probabilidad Modelo Markov Modelo empírico Modelo matemático Método analítico Método estadístico Pequeña muestra Proceso puntual Proceso renovación Red neuronal Estímulo Variabilidad Variancia
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02I Multivariate analysis
- 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 Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20427181
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.2008.06-07-540 
https://dx.doi.org/10.1162/neco.2008.06-07-540
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