A review of methods for identifying stochastic resonance in simulations of single neuron models

Author:

McDonnell Mark D.123,Iannella Nicolangelo1,To Minh-Son45,Tuckwell Henry C.267,Jost Jürgen68,Gutkin Boris S.910,Ward Lawrence M.3

Affiliation:

1. Computational and Theoretical Neuroscience Laboratory, Institute for Telecommunications Research, University of South Australia, Mawson Lakes, SA, Australia,

2. School of Electrical and Electronic Engineering, University of Adelaide, Adelaide, SA, Australia,

3. Department of Psychology and Brain Research Centre, University of British Columbia, Vancouver, BC, Canada,

4. Eccles Institute of Neuroscience, The John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia,

5. Department Human Physiology and Centre for Neuroscience, Flinders University, SA, Australia,

6. Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany,

7. School of Mathematical Sciences, Monash University, Clayton, Victoria, Australia,

8. Santa Fe Institute for the Sciences of Complexity, USA,

9. Group for Neural Theory, Departément des Etudes Cognitives, Ecole Normale Suprieure, 3 rue d'Ulm, Paris, France, and

10. National Research University Higher School of Economics, Center for Cognition and Decision Making, Moscow, Russia

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

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