S. Amari, Dynamics of pattern formation in lateral-inhibition type neural fields, Biological Cybernetics, vol.13, issue.2, pp.77-87, 1977.
DOI : 10.1098/rstb.1952.0012

C. Astefanoaei, D. Creanga, E. Pretegiani, L. Optican, and A. Rufa, Dynamical complexity analysis of saccadic eye movements in two different psychological conditions Romanian reports in physics, p.1038, 2014.

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

X. E. Barandiaran, Autonomy and Enactivism: Towards a Theory of Sensorimotor Autonomous Agency, Topoi, vol.311, issue.2, pp.1-22, 2016.
DOI : 10.1038/311419a0

C. Bell, T. Storck, and Y. Sandamirskaya, Learning to Look: A Dynamic Neural Fields Architecture for Gaze Shift Generation, International conference on artificial neural networks, pp.699-706, 2014.
DOI : 10.1007/978-3-319-11179-7_88

M. H. Bickhard, Interaction and Representation, Theory & Psychology, vol.82, issue.2, pp.435-458, 1999.
DOI : 10.2307/2183766

C. Bourrelly, J. Quinet, P. Cavanagh, and L. Goffart, Learning the trajectory of a moving visual target and evolution of its tracking in the monkey, Journal of Neurophysiology, vol.116, issue.6, 2016.
DOI : 10.1152/jn.00519.2016

URL : https://hal.archives-ouvertes.fr/hal-01427801

C. Bourrelly, J. Quinet, and L. Goffart, Equilibria and transitions during visual tracking : Learning to track a moving visual target in the monkey, Society for neuroscience, 2013.

C. Bourrelly, J. Quinet, and L. Goffart, Unsupervised dynamic morphing of a spatiotemporal visual event during its oculomotor tracking, Journal of Vision, vol.14, issue.10, pp.492-492, 2014.
DOI : 10.1167/14.10.492

R. A. Brooks, Intelligence without reason. The artificial life route to artificial intelligence: Building embodied, situated agents, pp.25-81, 1995.

A. Bubic, D. Y. Von-cramon, and R. I. Schubotz, Prediction, cognition and the brain, Frontiers in Human Neuroscience, vol.4, p.25, 2010.
DOI : 10.3389/fnhum.2010.00025

URL : http://journal.frontiersin.org/article/10.3389/fnhum.2010.00025/pdf

J. Buisson and J. Quinton, Internalized activities, New Ideas in Psychology, vol.28, issue.3, pp.312-323, 2010.
DOI : 10.1016/j.newideapsych.2009.09.006

N. Catenacci, J. Quinton, and G. Pezzulo, How active perception and attractor dynamics shape perceptual categorization: A computational model, Neural Networks, vol.60, issue.60, pp.1-16, 2014.
DOI : 10.1016/j.neunet.2014.06.008

M. Cerda and B. Girau, Bio-inspired visual sequences classification, Brain Inspired Cognitive Systems (BICS), p.20, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00504090

P. M. Daye, G. Blohm, and P. Lefèvre, Catch-up saccades in head-unrestrained conditions reveal that saccade amplitude is corrected using an internal model of target movement, Journal of Vision, vol.14, issue.1, pp.12-12, 2014.
DOI : 10.1167/14.1.12

J. Fix, N. Rougier, and F. Alexandre, A Dynamic Neural Field Approach to the Covert and Overt Deployment of Spatial Attention, Cognitive Computation, vol.25, issue.1A, pp.1-15, 2010.
DOI : 10.1016/0028-3932(87)90041-8

URL : https://hal.archives-ouvertes.fr/inria-00536374

N. Franceschini, R. Chagneux, K. Kirschfeldand, and A. Mcke, Vergence eye movements in flies, In Gottingen neurobiology report, vol.1, p.275, 1991.

N. J. Gandhi and H. A. Katnani, Motor Functions of the Superior Colliculus, Annual Review of Neuroscience, vol.34, issue.1, pp.205-231, 2011.
DOI : 10.1146/annurev-neuro-061010-113728

A. Gepperth, Processing and transmission of confidence in recurrent neural hierarchies. Neural processing letters, pp.75-91, 2014.

L. Goffart, Z. M. Hafed, and R. J. Krauzlis, Visual Fixation as Equilibrium: Evidence from Superior Colliculus Inactivation, Journal of Neuroscience, vol.32, issue.31, pp.32-10627, 2012.
DOI : 10.1523/JNEUROSCI.0696-12.2012

URL : https://hal.archives-ouvertes.fr/hal-01427763

Z. M. Hafed, L. Goffart, and R. J. Krauzlis, A Neural Mechanism for Microsaccade Generation in the Primate Superior Colliculus, Science, vol.15, issue.4, pp.323-940, 2009.
DOI : 10.1017/S0952523898154160

URL : https://hal.archives-ouvertes.fr/hal-01427860

H. Hicheur, S. Zozor, A. Campagne, and A. Chauvin, Microsaccades are modulated by both attentional demands of a visual discrimination task and background noise, Journal of Vision, vol.13, issue.13, pp.18-18, 2013.
DOI : 10.1167/13.13.18

URL : https://hal.archives-ouvertes.fr/hal-00917125

J. B. Hopfinger, M. H. Buonocore, and G. R. Mangun, The neural mechanisms of top-down attentional control, Nature neuroscience, vol.3, issue.3, pp.284-291, 2000.

D. H. Hubel and T. N. Wiesel, Receptive fields, binocular interaction and functional architecture in the cat's visual cortex, The Journal of Physiology, vol.160, issue.1, pp.106-154, 1962.
DOI : 10.1113/jphysiol.1962.sp006837

L. Itti and C. Koch, Computational modelling of visual attention, Nature Reviews Neuroscience, vol.2, issue.3, pp.194-203, 2001.
DOI : 10.1038/35058500

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.
DOI : 10.1109/34.730558

W. James, The principles of psychology, 1890.

T. C. Kietzmann, S. Geuter, and P. König, Overt Visual Attention as a Causal Factor of Perceptual Awareness, PLoS ONE, vol.9, issue.7, p.22614, 2011.
DOI : 10.1371/journal.pone.0022614.s004

H. Ko, M. Poletti, and M. Rucci, Microsaccades precisely relocate gaze in a high visual acuity task, Nature Neuroscience, vol.21, issue.12, pp.1549-1553, 2010.
DOI : 10.1098/rspb.1998.0577

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3058801/pdf

K. Kopecz and G. Schöner, Saccadic motor planning by integrating visual information and pre-information on neural dynamic fields, Biological Cybernetics, vol.15, issue.1, pp.49-60, 1995.
DOI : 10.1126/science.181.4102.810

R. J. Krauzlis, L. Goffart, and Z. M. Hafed, Neuronal control of fixation and fixational eye movements, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.118, issue.1718, pp.372-20160205, 1718.
DOI : 10.1038/ncomms5605

URL : http://rstb.royalsocietypublishing.org/content/royptb/372/1718/20160205.full.pdf

M. Lefort, Y. Boniface, and B. Girau, Coupling BCM and Neural Fields for the Emergence of Self-organization Consensus, From brains to systems, pp.41-56, 2011.
DOI : 10.1007/978-1-4614-0164-3_5

URL : https://hal.archives-ouvertes.fr/inria-00585493

L. Maggiani, C. Bourrasset, J. Quinton, F. Berry, and J. Sérot, Bio-inspired heterogeneous architecture for real-time pedestrian detection applications, Journal of Real-Time Image Processing, vol.151, issue.8, pp.1-14, 2016.
DOI : 10.1109/CVPR.2011.5995678

URL : https://hal.archives-ouvertes.fr/hal-01298676

J. Milton, T. Insperger, and G. Stepan, Human Balance Control: Dead Zones, Intermittency, and Micro-chaos, Mathematical approaches to biological systems, pp.1-28, 2015.
DOI : 10.1007/978-4-431-55444-8_1

O. 'regan, J. K. Noë, and A. , A sensorimotor account of vision and visual consciousness, Behavioral and Brain Sciences, vol.24, issue.05, pp.939-973, 2001.
DOI : 10.1017/S0140525X01000115

J. Otero-millan, X. G. Troncoso, S. L. Macknik, I. Serrano-pedraza, and S. Martinez-conde, Saccades and microsaccades during visual fixation, exploration, and search: Foundations for a common saccadic generator, Journal of Vision, vol.8, issue.14, pp.21-21, 2008.
DOI : 10.1167/8.14.21

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

J. Piaget, The child's conception of space, 1967.

H. Poincaré, Science and Method, 1914.

J. Quinet and L. Goffart, Does the Brain Extrapolate the Position of a Transient Moving Target?, Journal of Neuroscience, vol.35, issue.34, pp.11780-11790, 2015.
DOI : 10.1523/JNEUROSCI.1212-15.2015

URL : https://hal.archives-ouvertes.fr/hal-01427775

J. Quinton, Exploring and optimizing dynamic neural fields parameters using Genetic Algorithms, The 2010 International Joint Conference on Neural Networks (IJCNN), 2010.
DOI : 10.1109/IJCNN.2010.5596293

URL : https://hal.archives-ouvertes.fr/inria-00488914

J. Quinton, N. Catenacci, L. Barca, and G. Pezzulo, The Cat is on the Mat. or is it a Dog? Dynamic Competition in Perceptual Decision Making, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.44, issue.5, pp.539-551, 2014.
DOI : 10.1109/TSMC.2013.2279664

J. Quinton and B. Girau, Predictive neural fields for improved tracking and attentional properties, The 2011 International Joint Conference on Neural Networks, pp.1629-1636, 2011.
DOI : 10.1109/IJCNN.2011.6033420

URL : https://hal.archives-ouvertes.fr/inria-00603902

J. Quinton and B. Girau, Spatiotemporal pattern discrimination using predictive dynamic neural fields, Twenty first annual computational neuroscience meeting (CNS), 2012.
DOI : 10.1007/BF00337259

URL : https://hal.archives-ouvertes.fr/hal-00698905

M. Rolfs, Microsaccades: Small steps on a long way, Vision Research, vol.49, issue.20, pp.2415-2441, 2009.
DOI : 10.1016/j.visres.2009.08.010

URL : https://doi.org/10.1016/j.visres.2009.08.010

M. Rolfs, Attention in Active Vision: A Perspective on Perceptual Continuity Across Saccades, Perception, vol.275, issue.8-9, pp.900-919, 2015.
DOI : 10.1016/j.bbr.2014.09.013

N. P. Rougier and J. Vitay, Emergence of attention within a neural population, Neural Networks, vol.19, issue.5, pp.573-581, 2006.
DOI : 10.1016/j.neunet.2005.04.004

URL : https://hal.archives-ouvertes.fr/inria-00000143

Y. Sandamirskaya, Dynamic neural fields as a step toward cognitive neuromorphic architectures, Frontiers in Neuroscience, vol.7, p.276, 2014.
DOI : 10.3389/fnins.2013.00276

URL : http://journal.frontiersin.org/article/10.3389/fnins.2013.00276/pdf

Y. Sandamirskaya and G. Schöner, An embodied account of serial order: How instabilities drive sequence generation, Neural Networks, vol.23, issue.10, pp.1164-1179, 2010.
DOI : 10.1016/j.neunet.2010.07.012

S. Schneegans, J. P. Spencer, G. Schöner, S. Hwang, and A. Hollingworth, Dynamic interactions between visual working memory and saccade target selection, Journal of Vision, vol.14, issue.11, pp.14-23, 2014.
DOI : 10.1167/14.11.9

URL : http://jov.arvojournals.org/data/journals/jov/933543/i1534-7362-14-11-9.pdf

G. Schöner, Dynamical systems approaches to cognition. Cambridge handbook of computational cognitive modeling, pp.101-126, 2008.

G. Schöner and J. Spencer, Dynamic thinking: A primer on dynamic field theory, 2015.
DOI : 10.1093/acprof:oso/9780199300563.001.0001

W. Taouali, L. Goffart, F. Alexandre, and N. P. Rougier, A parsimonious computational model of visual target position encoding in the superior colliculus, Biological Cybernetics, vol.489, issue.7416, pp.4-5, 2015.
DOI : 10.1038/nature11497

URL : https://hal.archives-ouvertes.fr/hal-01201785

J. Taylor, Neural 'bubble' dynamics in two dimensions: foundations, Biological Cybernetics, vol.80, issue.6, pp.5167-5174, 1999.
DOI : 10.1007/s004220050534

J. V. Uexküll, The environment and inner world of animals, 1909.

S. Viollet, Vibrating Makes for Better Seeing: From the Fly????????s Micro-Eye Movements to Hyperacute Visual Sensors, Frontiers in bioengineering and biotechnology, 2014.
DOI : 10.1016/j.visres.2012.06.011

H. R. Wilson and J. D. Cowan, A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue, Kybernetik, vol.12, issue.2, pp.55-80, 1973.
DOI : 10.3758/BF03210193

K. Zhang and T. J. Sejnowski, Neuronal Tuning: To Sharpen or Broaden?, Neural Computation, vol.79, issue.1, pp.75-84, 1999.
DOI : 10.1007/BF00198480