J. Gold and M. Shadlen, Neural computations that underlie decisions about sensory stimuli, Trends in Cognitive Sciences, vol.5, pp.10-16, 2001.
DOI : 10.1016/s1364-6613(00)01567-9

J. I. Gold and M. N. Shadlen, The neural basis of decision making, Annu Rev Neurosci, vol.30, pp.535-574, 2007.

R. Ratcliff, A theory of memory retrieval, Psychological Review, vol.85, pp.59-108, 1978.

M. Usher and J. L. Mcclelland, On the time course of perceptual choice: The leaky, competing accumulator model, Psychological Review, vol.108, issue.3, pp.550-592, 2001.

K. Wong, A. C. Huk, M. N. Shadlen, and X. Wang, Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making, Front Comput Neurosci, vol.1, issue.6, 2007.

. Diederich, Dynamic stochastic models for decision making under time constraints, J Math Psychol, vol.41, issue.3, pp.260-274, 1997.
DOI : 10.1006/jmps.1997.1167

R. Bogacz, E. Brown, J. Moehlis, P. Holmes, and J. D. Cohen, The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks, Psychol Rev, vol.113, issue.4, pp.700-765, 2006.

M. Shadlen, R. Kiani, T. Hanks, and A. Churchland, Neurobiology of decision making: An intentional framework, Better than conscious?: decision making, the human mind, and implications for institutions, 2008.

A. Tosoni, G. Galati, G. L. Romani, and M. Corbetta, Sensorymotor mechanisms in human parietal cortex underlie arbitrary visual decisions, Nat Neurosci, vol.11, issue.12, pp.1446-1453, 2008.
DOI : 10.1038/nn.2221

URL : http://europepmc.org/articles/pmc3861399?pdf=render

D. J. Freedman and J. A. Assad, A proposed common neural mechanism for categorization and perceptual decisions, Nat Neurosci, vol.14, issue.2, pp.143-146, 2011.
DOI : 10.1038/nn.2740

P. Cisek and J. F. Kalaska, Neural mechanisms for interacting with a world full of action choices, Annu Rev Neurosci, vol.33, pp.269-298, 2010.

R. M. Nosofsky and T. J. Palmeri, An exemplar-based random walk model of speeded classification, Psychol Rev, vol.104, issue.2, pp.266-300, 1997.

K. Lamberts, Information-accumulation theory of speeded categorization, Psychol Rev, vol.107, issue.2, pp.227-260, 2000.
DOI : 10.1037//0033-295x.107.2.227

URL : http://cognitrn.psych.indiana.edu/rgoldsto/courses/concepts/lambertspsychrev.pdf

M. Bar, The proactive brain: using analogies and associations to generate predictions, Trends in Cognitive Sciences, vol.11, issue.7, pp.280-289, 2007.
DOI : 10.1016/j.tics.2007.05.005

G. Pezzulo, Coordinating with the future: the anticipatory nature of representation, Minds and Machines, vol.18, pp.179-225, 2008.

K. Friston, A theory of cortical responses, Philos Trans R Soc Lond B Biol Sci, vol.360, issue.1456, pp.815-836, 2005.
DOI : 10.1098/rstb.2005.1622

URL : http://europepmc.org/articles/pmc1569488?pdf=render

,

, The free-energy principle: a unified brain theory?, Nat Rev Neurosci, vol.11, issue.2, pp.127-138, 2010.

R. P. Rao and D. H. Ballard, Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects, Nat Neurosci, vol.2, issue.1, pp.79-87, 1999.

,

Y. Bengio and Y. Lecun, Scaling learning algorithms towards AI, 2007.

G. E. Hinton, Learning multiple layers of representation, Trends Cogn Sci, vol.11, issue.10, pp.428-434, 2007.

B. Epshtein and S. Ullman, Semantic Hierarchies for Recognizing Objects and Parts, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.

S. Ullman, M. Vidal-naquet, and E. Sali, Visual features of intermediate complexity and their use in classification, Nat Neurosci, vol.5, issue.7, pp.682-687, 2002.

D. Ballard, Animate vision, Artificial Intelligence, vol.48, issue.1, pp.1-27, 1991.

T. C. Kietzmann, S. Geuter, and P. Koenig, Overt visual attention as a causal factor of perceptual awareness, PLoS One, vol.6, issue.7, p.22614, 2011.

M. Hayhoe and D. Ballard, Eye movements in natural behavior, Trends Cogn Sci, vol.9, issue.4, pp.188-194, 2005.

,

C. A. Rothkopf and D. H. Ballard, Credit assignment in multiple goal embodied visuomotor behavior, Front Psychol, vol.1, p.173, 2010.

N. Sprague and D. Ballard, Multiple-goal reinforcement learning with modular sarsa(o, 2003.

J. K. Kruschke, Alcove: An exemplar-based connectionist model of category learning, Psychological Review, vol.99, pp.22-44, 1992.

J. B. Freeman, R. Dale, and T. A. Farmer, Hand in motion reveals mind in motion, Front Psychol, vol.2, p.59, 2011.

J. Song and K. Nakayama, Hidden cognitive states revealed in choice reaching tasks, Trends Cogn Sci, vol.13, issue.8, pp.360-366, 2009.

M. Spivey, The continuity of mind, 2007.

A. Resulaj, R. Kiani, D. M. Wolpert, and M. N. Shadlen, Changes of mind in decision-making, Nature, vol.461, issue.7261, pp.263-266, 2009.

C. Olman and D. Kersten, Classification objects, ideal observers and generative models, Cognitive Science, vol.28, issue.2, pp.227-239, 2004.

A. N. Sanborn, T. L. Griffiths, and R. M. Shiffrin, Uncovering mental representations with markov chain monte carlo, Cogn Psychol, vol.60, issue.2, pp.63-106, 2010.

J. B. Freeman and N. Ambady, Mousetracker: software for studying real-time mental processing using a computer mouse-tracking method, Behav Res Methods, vol.42, issue.1, pp.226-241, 2010.

,

D. Bates and M. Maechler, Linear mixed-eects models using s4 classes, vol.4, 2009.

R. Baayen, D. Davidson, and M. Bates, Mixed-effects modeling with crossed random effects for subjects and items, Journal of Memory and Language, vol.59, p.390412, 2008.

R. Dale, C. Kehoe, and M. J. Spivey, Graded motor responses in the time course of categorizing atypical exemplars, Mem Cognit, vol.35, issue.1, pp.15-28, 2007.

L. Barca and G. Pezzulo, Unfolding visual lexical decision in time, PLoS ONE, vol.7, issue.4, p.35932, 2012.

M. J. Spivey, R. Dale, G. Knoblich, and M. Grosjean, Do curved reaching movements emerge from competing perceptions? a reply to van der wel, J Exp Psychol Hum Percept Perform, vol.36, issue.1, pp.251-254, 2009.

M. Spivey, M. Grosjean, and G. Knoblich, Continuous attraction toward phonological competitors, Proceedings of the National Academy of Sciences of the USA, vol.102, pp.10-393, 2005.

R. P. Van-der-wel, J. R. Eder, A. D. Mitchel, M. M. Walsh, and D. A. Rosenbaum, Trajectories emerging from discrete versus continuous processing models in phonological competitor tasks: a commentary on spivey, grosjean, and knoblich (2005), J Exp Psychol Hum Percept Perform, vol.35, issue.2, pp.588-594, 2009.

,

P. D. Allopenna, J. S. Magnuson, and M. K. Tanenhaus, Tracking the time course of spoken word recognition using eye movements: Evidence for continuous mapping models, Journal of Memory and Language, vol.38, pp.419-439, 1998.

K. M. Eberhard, M. J. Spivey-knowlton, J. C. Sedivy, and M. K. Tanenhaus, Eye movements as a window into real-time spoken language comprehension in natural contexts, J Psycholinguist Res, vol.24, issue.6, pp.409-436, 1995.

L. Itti, C. Koch, and E. Niebur, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1254-1259, 1998.

M. Mermillod, P. Bonin, L. Mondillon, D. Alleysson, and N. Vermeulen, Coarse scales are sufficient for efficient categorization of emotional facial expressions: Evidence from neural computation, Neurocomputing, issue.73, pp.2522-2531, 2010.

M. H. Bickhard, Function, anticipation and representation, Computing Anticipatory Systems. CASYS 2000-Fourth International Conference, D. M. Dubois, pp.459-469, 2001.

R. Grush, The emulation theory of representation: motor control, imagery, and perception, Behavioral and Brain Sciences, vol.27, issue.3, pp.377-96, 2004.

G. Pezzulo, Grounding procedural and declarative knowledge in sensorimotor anticipation, Mind and Language, vol.26, issue.1, pp.78-114, 2011.

J. O'regan and A. Noe, A sensorimotor account of vision and visual consciousness, Behavioral and Brain Sciences, vol.24, issue.5, pp.883-917, 2001.

G. L. Drescher, Made-Up Minds: A Constructivist Approach to Artificial Intelligence, 1991.

E. Rosch, C. Mervis, W. Gray, D. Johnson, and P. Boyes-braem, Basic objects in natural categories, Cognitive Psychology, vol.8, p.382439, 1976.

P. Gardenfors, Conceptual Spaces: The Geometry of Thought, 2000.

D. L. Medin and M. M. Schaffer, Context theory of classification learning, Psychological Review, vol.85, p.207238, 1978.

R. A. Brooks, A robust layered control system for a mobile robot, IEEE Journal of Robotics and Automation, vol.2, pp.14-23, 1986.

J. Johnson, J. Spencer, and G. Schoner, Moving to higher ground: The dynamic field theory and the dynamics of visual cognition, New Ideas in Psychology, vol.26, pp.227-251, 2008.

J. Quinton, B. Girau, and M. Lefort, Competition in high dimensional spaces using a sparse approximation of neural fields," in From Brains to Systems: Brain Inspired Cognitive Systems 2010, ser, Advances in Experimental Medicine and Biology, vol.718, 2011.

M. Grosjean, J. Zwickel, and W. Prinz, Acting while perceiving: assimilation precedes contrast, Psychol Res, vol.73, issue.1, pp.3-13, 2009.

L. Barsalou, Grounded cognition, Annual Review of Psychology, vol.59, pp.617-645, 2008.

G. Pezzulo and G. Calvi, Computational explorations of perceptual symbol system theory, New Ideas in Psychology, vol.29, issue.3, pp.275-297, 2011.

F. G. Ashby, S. W. Ell, and E. M. Waldron, Procedural learning in perceptual categorization, Mem Cognit, vol.31, issue.7, pp.1114-1125, 2003.

J. Quinton and J. Buisson, Multilevel anticipative interactions for goal oriented behaviors, Proceedings of EpiRob'08-International Conference on Epigenetic Robotics, pp.103-110, 2008.

J. Quinton and T. Inamura, Human-robot interaction based learning for task-independent dynamics prediction, Proceedings of EpiRob'07-International Conference on Epigenetic Robotics

G. Pezzulo and G. Calvi, Designing modular architectures in the framework akira, Multiagent and Grid Systems, vol.3, issue.1, pp.65-86, 2007.

G. Pezzulo and D. Ognibene, Proactive action preparation: Seeing action preparation as a continuous and proactive process, Motor Control, 2011.

G. Pezzulo, L. Barsalou, A. Cangelosi, M. Fischer, K. Mcrae et al., The mechanics of embodiment: A dialogue on embodiment and computational modeling, Frontiers in Cognition, vol.2, issue.5, pp.1-21, 2011.