Effect of increasing inhibitory inputs on information processing within a small network of spiking neurons

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4507 LNCS, Issue , 2007, Pages 23-30

  Sirovich, Roberta ^a,b   Sacerdote, Laura ^a   Villa, Alessandro E P ^b  

^a UNIVERSITY OF TURIN   (Italy)

^b UNIV GRENOBLE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; MATHEMATICAL MODELS; NEURONS; POISSON DISTRIBUTION;

JUMP DIFFUSION MODEL; POISSONIAN INHIBITORY INPUTS; SPIKING NEURONS;

NEURAL NETWORKS;

EID: 38049174821     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73007-1_4     Document Type: Conference Paper

References (4)

1. Abeles, M.: Quantification, smoothing and confidence limits for single units' histograms. J. Neurosci. Meth. 5, 317-325 (1982)
2. Kloeden, P.E., Platen, E.: Numerical solution of stochastic differential equations. In: Applications of Mathematics, vol. 23, Springer-Verlag, Heidelberg (1992)
3. Musila, M., Lánský, P.: Generalized Stein's model for anatomically complex neurons. BioSystems 25, 179-191 (1991)
4. Sirovich, R.: Mathematical models for the study of synchronization phenomena in neuronal networks. Ph. D. Thesis (2006)