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Amit D, Brunel N (1997) Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cereb Cortex 7:237–252
Attneave F (1971) Multistability in perception. Sci Am 225:63–71
Brody C, Romo R, Kepecs A (2003) Basic mechanisms for graded persistent activity: discrete attractors. continuous attractors, and dynamic representations. Curr Opin Neurobiol 13:204–211
Brunel N, Wang X (2001) Effects of neuromodulation in a cortical networks model of object working memory dominated by recurrent inhibition. J Comput Neurosci 11:63–85
Camera GL, Rauch A, Luescher H, Senn W, Fusi S (2004) Minimal models of adapted neuronal response to in vivo-like input currents. Neural Comput 16:2101–2124
Deco G, Rolls E (2006) Decision-making and weber’s law: a neurophysiological model. Eur J Neurosci 24:901–916
Glimcher PW (2003) Decisions, uncertainty, and the brain. MIT, Cambridge
Glimcher PW (2005) Indeterminacy in brain and behavior. Annu Rev Psychol 56 (NIL):25–56
Gold JI, Shadlen MN (2000) Representation of a perceptual decision in developing oculomotor commands. Nature 404:390–394
Gold JI, Shadlen MN (2002) Banburismus and the brain: decoding the relationship between sensory stimuli, decisions, and reward. Neuron 36(2):299–308
Laing C, Chow C (2002) A spiking neural model of binocular rivalry. J Computa Neurosci 12:39–53
Leopold D, Logothetis N (1999) Multistable phenomena: changing views in perception. Trends Cogn Sci 3:254–264
Machens C, Romo R, Brody C (2005) Flexible control of mutual inhibition: a neural model of two-interval discrimination. Science 307:1121–1124
Mattia M, Giudice PD (2002) Population dynamics of interacting spiking neurons. Phys Rev E 66(5):051917
Mattia M, Giudice PD (2004) Finite-size dynamics of inhibitory and excitatory interacting spiking neurons. Phys Rev E 70:052903
Platt ML, Glimcher PW (1999) Neural correlates of decision variables in parietal cortex. Nature 400(6741):233–238
Ratcliff R, Zandt TV, McKoon G (1999) Connectionist and diffusion models of reaction time. Psychol Rev 106(2):261–300
Renart A, Brunel N, Wang XJ (2003) Mean field theory of irregularly spiking neuronal populations and working memory in recurrent cortical networks. In: Feng J (ed) Computational neuroscience: a comprehensive approach. Chapman and Hall, Boca Raton, pp 431–490
Rodriguez R, Tuckwell HC (1996) Statistical properties of stochastic nonlinear dynamical models of single neurons and neural networks. Phys Rev E 54:5585–5590
Rodriguez R, Tuckwell HC (1998) Noisy spiking neurons and networks: useful approximations for firing probabilities and global behavior. BioSystems 48:187–194
Rolls ET, Deco G (2002) Computational neuroscience of vision. Oxford University Press, Oxford
Romo R, Salinas E (2001) Touch and go: Decision-making mechanisms in somatosensation. Annu Rev Neurosci 24:107–137
Romo R, Salinas E (2003) Flutter discrimination: neural codes, perception, memory and decision making. Nat Rev Neurosci 4:203–218
Romo R, Hernandez A, Zainos A (2004) Neuronal correlates of a perceptual decision in ventral premotor cortex. Neuron 41:165–173
Schall J (2001) Neural basis of deciding, choosing and acting. Nat Rev Neurosci 2:33–42
Shadlen MN, Newsome WT (1996) Motion perception: seeing and deciding. Proc Natl Acad Sci USA 93(2):628–633
Smith P, Ratcliff R (2004) Psychology and neurobiology of simple decisions. Trends Neurosci 23:161–168
Taylor M, Aldridge K (1974) Stochastic processes in reversing figure perception. Percept Psychophys 16:9–27
Thompson KG, Hanes DP, Bichot NP, Schall JD (1996) Perceptual and motor processing stages identified in the activity of macaque frontal eye field neurons during visual search. J Neurophysiol 76(6):4040–4055
Tuckwell HC (1988) Introduction to theoretical neurobiology. Cambridge University Press, Cambridge
Tuckwell HC, Rodriguez R (1998) Analytical and simulation results for stochastic Fitzhugh-Nagumo neurons and neural networks. J Comput Neurosci 5:91–113
Usher M, McClelland JL (2001) The time course of perceptual choice: the leaky, competing accumulator model. Psychol Rev 108(3):550–592
Wilson H (2003) Computational evidence for a rivalry hierarchy in vision. Proc Nat Acad Sci USA 100:14499–14503