| [1] | Ratcliff R, Smith P (2004) A comparison of sequential sampling sampling models for two-choice reaction time. Psychol Rev 111: 333–367.
|
| [2] | Romo R, Salinas E (2001) Touch and go: Decision-making mechanisms in somatosensation. Annu Rev Neurosci 24: 107–137.
|
| [3] | Romo R, Salinas E (2003) Flutter discrimination: neural codes, perception, memory and decision-making. Nature Reviews Neuroscience 4: 203–218.
|
| [4] | Shadlen M, Newsome W (2001) Neural basis of a perceptual decision in the parietal cortex (area lip) of the rhesus monkey. J Neurophysiol 86: 1916–1936.
|
| [5] | Roitman J, Shadlen M (2002) Response of neurons in the lateral intraparietal area during a com-bined visual discrimination reaction time task. J Neurosci 22: 9475–9489.
|
| [6] | Huk A, Shadlen M (2005) Neural activity in macaque parietal cortex reects temporal integration of visual motion signals during perceptual decision making. J Neurosci 25: 10420–10436.
|
| [7] | Wang X (2002) Probabilistic decision making by slow reverberation in cortical circuits. Neuron 36: 955–968.
|
| [8] | Wong K, Wang X (2006) A recurrent network mechanism of time integration in perceptual decisions. J Neurosci 26: 1314–1328.
|
| [9] | Lo C, Wang X (2006) Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks. Nat Neurosci 9: 956–963.
|
| [10] | Roxin A, Ledberg A (2008) Neurobiological models of two-choice decision making can be reduced to a one-dimensional nonlinear diffusion equation. PLoS Computational Biology 4: 43–100.
|
| [11] | Crawford J (1991) Introduction to bifurcation theory. Rev Mod Phys 63: 991–1037.
|
| [12] | Berglund N, Gentz B (2005) Noise-induced phenomena in slow-fast dynamical systems. a sample-paths approach. Springer, Probability and its Applications.
|
| [13] | Deco G, Martí D (2007) Deterministic analysis of stochastic bifurcations in multi-stable neurody-namical systems. Biol Cybern 96: 487–496.
|
| [14] | Carrillo J, Cordier S, Mancini S (2013) One dimensional Fokker-Planck reduced dynamics of decision making models in computational neuroscience. Comm Math Sci 11: 523–540.
|
| [15] | Hartman P (1960) A lemma in the theory of structural stability of differential equations. Proc Amer Math Soc 11: 610–620.
|
| [16] | Gardiner C (1985) Handbook of stochastic methods for physics, chemistry and the natural sciences. Springer.
|
| [17] | Carrillo J, Cordier S, Mancini S (2011) A decision-making Fokker-Planck model in computational neuroscience. J Math Biol 63: 801–830.
|
| [18] | Holley R, Stroock D (1987) Logarithmic Sobolev inequalities and stochastic Ising models. J Statist Phys 46: 1159–1194.
|
| [19] | Arnold A, Markowich P, Toscani G, Unterreiter A (2001) On convex Sobolev inequalities and the rate of convergence to equilibrium for Fokker-Planck type equations. Comm Partial Differential Equations 26: 43–100.
|
