R. Ratcliff and P. Smith, A Comparison of Sequential Sampling Models for Two-Choice Reaction Time., Psychological Review, vol.111, issue.2, pp.333-367, 2004.
DOI : 10.1037/0033-295X.111.2.333

R. Romo and E. Salinas, : Decision-Making Mechanisms in Somatosensation, Annual Review of Neuroscience, vol.24, issue.1, pp.107-137, 2001.
DOI : 10.1146/annurev.neuro.24.1.107

R. Romo and E. Salinas, Cognitive neuroscience: Flutter Discrimination: neural codes, perception, memory and decision making, Nature Reviews Neuroscience, vol.411, issue.3, pp.203-218, 2003.
DOI : 10.1038/nrn1058

M. Shadlen and W. Newsome, Neural basis of a perceptual decision in the parietal cortex (area lip) of the rhesus monkey, J Neurophysiol, vol.86, pp.1916-1936, 2001.

J. Roitman and M. Shadlen, Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task, J Neurosci, vol.22, pp.9475-9489, 2002.

A. Huk and M. Shadlen, Neural Activity in Macaque Parietal Cortex Reflects Temporal Integration of Visual Motion Signals during Perceptual Decision Making, Journal of Neuroscience, vol.25, issue.45, pp.10420-10436, 2005.
DOI : 10.1523/JNEUROSCI.4684-04.2005

X. Wang, Probabilistic Decision Making by Slow Reverberation in Cortical Circuits, Neuron, vol.36, issue.5, pp.955-968, 2002.
DOI : 10.1016/S0896-6273(02)01092-9

K. Wong and X. Wang, A Recurrent Network Mechanism of Time Integration in Perceptual Decisions, Journal of Neuroscience, vol.26, issue.4, pp.1314-1328, 2006.
DOI : 10.1523/JNEUROSCI.3733-05.2006

C. Lo and X. Wang, Cortico???basal ganglia circuit mechanism for a decision threshold in reaction time tasks, Nature Neuroscience, vol.61, issue.7, pp.956-963, 2006.
DOI : 10.1038/nn1722

A. Roxin and A. Ledberg, Neurobiological Models of Two-Choice Decision Making Can Be Reduced to a One-Dimensional Nonlinear Diffusion Equation, PLoS Computational Biology, vol.54, issue.3, pp.43-100, 2008.
DOI : 10.1371/journal.pcbi.1000046.s001

N. Berglund and B. Gentz, Noise-induced phenomena in slow-fast dynamical systems. a samplepaths approach, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00010168

G. Deco and D. Martí, Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems, Biological Cybernetics, vol.100, issue.3, pp.487-496, 2007.
DOI : 10.1007/s00422-007-0144-6

J. Carrillo, S. Cordier, and S. Mancini, One-dimensional Fokker-Planck reduced dynamics of decision making models in computational neuroscience, Communications in Mathematical Sciences, vol.11, issue.2, pp.523-540, 2013.
DOI : 10.4310/CMS.2013.v11.n2.a10

URL : https://hal.archives-ouvertes.fr/hal-00652759

P. Hartman, A lemma in the theory of structural stability of differential equations, Proceedings of the American Mathematical Society, vol.11, issue.4, pp.610-620, 1960.
DOI : 10.1090/S0002-9939-1960-0121542-7

J. Carrillo, S. Cordier, and S. M. , A decision-making Fokker???Planck model in computational neuroscience, Journal of Mathematical Biology, vol.53, issue.1, pp.801-830, 2011.
DOI : 10.1007/s00285-010-0391-3

URL : https://hal.archives-ouvertes.fr/hal-00452994

R. Holley and D. Stroock, Logarithmic Sobolev inequalities and stochastic Ising models, Journal of Statistical Physics, vol.42, issue.5-6, pp.1159-1194, 1987.
DOI : 10.1007/BF01011161

A. Arnold, P. Markowich, G. Toscani, and A. Unterreiter, ON CONVEX SOBOLEV INEQUALITIES AND THE RATE OF CONVERGENCE TO EQUILIBRIUM FOR FOKKER-PLANCK TYPE EQUATIONS, Communications in Partial Differential Equations, vol.324, issue.1-2, pp.43-100, 2001.
DOI : 10.1007/s002200050631