@. F. Alexandre, C. Carvajal, and T. Viéville, Comprendre le système le plus complexe de notre planète ? Mathématique pour la planète Terre, jour une brève, 2013.

I. Conferences, @. C. Carvajal, T. Vieville, and F. Alexandre, Impact of the Konio pathway in the thalamocortical visual system: a modeling study, BMC Neuroscience, vol.14, issue.1, p.6, 2013.

@. C. Carvajal, T. Viéville, and F. Alexandre, To flee or not to flee? Neural Field dynamics shape information flows in a model of the thalamocortical visual system, Bernstein Conference 2013, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00858473

R. Report, @. E. Teftef, M. Escobar, A. Astudillo, C. Carvajal et al., Modeling non-standard retinal in/out function using computer vision variational methods, 2013.

N. Conferences, @. C. Carvajal, T. Viéville, and F. Alexandre, Konio Pathway: An Instinctive Visual Mechanism for Survival and Decision Making? In NeuroComp/KEOpS'12 workshop beyond the retina: from computational models to outcomes in bioengineering. Focus on architecture and dynamics sustaining information flows in the visuomotor system, 2012.

@. E. Teftef, C. Carvajal, T. Viéville, and F. Alexandre, When early vision in the retina attempts to take decisions about visual motion events : the role of konio cells, Third International Symposium on Biology of Decision Making, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00826099

@. C. Carvajal, T. Viéville, and F. Alexandre, A modeling study of the dynamic interplay between pathways in the thalamocortical visual system: The Magno and Koniocellular streams case, APIL 2014, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00874115

L. F. Abbott and F. S. Chance, Drivers and modulators from push-pull and balanced synaptic input, Bibliography Progress in brain research, vol.149, pp.147-155, 2005.
DOI : 10.1016/S0079-6123(05)49011-1

B. Ahmed, J. C. Anderson, K. A. Martin, and J. C. Nelson, Map of the synapses onto layer 4 basket cells of the primary visual cortex of the cat, The Journal of Comparative Neurology, vol.195, issue.2, pp.230-242, 1997.
DOI : 10.1002/(SICI)1096-9861(19970407)380:2<230::AID-CNE6>3.0.CO;2-4

F. Alexandre, C. Carvajal, and T. Viéville, Comprendre le système le plus complexe de notre planète ? Mathématique pour la planète Terre, jour une brève, 2013.

. Amari, Dynamics of pattern formation in lateral-inhibition type neural fields, Biological Cybernetics, vol.13, issue.2, pp.77-87, 1977.
DOI : 10.1007/BF00337259

A. Angelucci, J. B. Levitt, E. J. Walton, J. M. Hupe, J. Bullier et al., Circuits for local and global signal integration in primary visual cortex, The Journal of neuroscience : the official journal of the Society for Neuroscience, issue.19, pp.228633-8646, 2002.

G. Aubert and P. Kornprobst, Can the Nonlocal Characterization of Sobolev Spaces by Bourgain et al. Be Useful for Solving Variational Problems?, SIAM Journal on Numerical Analysis, vol.47, issue.2, pp.844-860, 2009.
DOI : 10.1137/070696751

D. H. Ballard, M. M. Hayhoe, P. K. Pook, and R. P. Rao, Deictic codes for the embodiment of cognition (with commentary), Behavioral and Brain Sciences, vol.20, issue.4, 1997.

J. Bergstra and Y. Bengio, Random Search for Hyper-parameter Optimization, J. Mach. Learn. Res, vol.13, issue.1, pp.281-305, 2012.

M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri, Actions as spacetime shapes, Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, pp.1395-1402, 2005.

G. G. Blasdel and J. S. Lund, Termination of afferent axons in macaque striate cortex, The Journal of Neuroscience, vol.3, issue.7, pp.1389-1413, 1983.

W. H. Bosking, Y. Zhang, B. Schofield, and D. Fitzpatrick, Orientation Selectivity and the Arrangement of Horizontal Connections in Tree Shrew Striate Cortex, The Journal of Neuroscience, vol.17, issue.6, pp.2112-2127, 1997.

R. Brette, M. Rudolph, T. Carnevale, M. Hines, D. Beeman et al., Simulation of networks of spiking neurons: A review of tools and strategies, Journal of Computational Neuroscience, vol.25, issue.54, pp.349-398, 2007.
DOI : 10.1007/s10827-007-0038-6
URL : https://hal.archives-ouvertes.fr/hal-00180662

C. Büchel and K. J. Friston, Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI, Cerebral Cortex, vol.7, issue.8, pp.768-778, 1991.
DOI : 10.1093/cercor/7.8.768

J. Bullier, Integrated model of visual processing, Brain Research Reviews, vol.36, issue.2-3, pp.96-107, 2001.
DOI : 10.1016/S0165-0173(01)00085-6

E. M. Callaway, LOCAL CIRCUITS IN PRIMARY VISUAL CORTEX OF THE MACAQUE MONKEY, Annual Review of Neuroscience, vol.21, issue.1, pp.47-74, 1998.
DOI : 10.1146/annurev.neuro.21.1.47

E. M. Callaway, Structure and function of parallel pathways in the primate early visual system, The Journal of Physiology, vol.29, issue.1, pp.13-19, 2005.
DOI : 10.1113/jphysiol.2005.088047

E. M. Callaway and A. K. Wiser, Abstract, Visual Neuroscience, vol.11, issue.05, pp.907-922, 1996.
DOI : 10.1002/cne.901470404

C. Carvajal, T. Viéville, and F. Alexandre, Konio Pathway: An Instinctive Visual Mechanism for Survival and Decision Making? In NeuroComp/KEOpS'12 workshop beyond the retina: from computational models to outcomes in bioengineering. Focus on architecture and dynamics sustaining information flows in the visuomotor system, 2012.

C. Carvajal, T. Viéville, and F. Alexandre, A modeling study of the dynamic interplay between pathways in the thalamocortical visual system: The Magno and Koniocellular streams case, APIL 2014, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00874115

C. Carvajal, T. Vieville, and F. Alexandre, Impact of the Konio pathway in the thalamocortical visual system: a modeling study, BMC Neuroscience, vol.14, issue.Suppl 1, p.6, 2013.
DOI : 10.1016/j.pneurobio.2005.11.001
URL : https://hal.archives-ouvertes.fr/hal-00842314

C. Carvajal, T. Viéville, and F. Alexandre, To flee or not to flee? Neural Field dynamics shape information flows in a model of the thalamocortical visual system, Bernstein Conference 2013, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00858473

C. Carvajal, T. Viéville, and F. Alexandre, Primitive attentional shifting in a reduced thalamocortical computational model using natural images

V. A. Casagrande, F. Yazar, K. D. Jones, and Y. Ding, The Morphology of the Koniocellular Axon Pathway in the Macaque Monkey, Cerebral Cortex, vol.17, issue.10, pp.172334-2345, 1991.
DOI : 10.1093/cercor/bhl142

B. Cessac, A discrete time neural network model with spiking neurons. Rigorous results on the spontaneous dynamics, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00530115

B. Cessac, B. Doyon, M. Quoy, and M. Samuelides, Mean-field equations, bifurcation map and route to chaos in discrete time neural networks, Physica D: Nonlinear Phenomena, vol.74, issue.1-2, pp.24-44, 1994.
DOI : 10.1016/0167-2789(94)90024-8

B. Cessac, H. Paugam-moisy, and T. Viéville, Indisputable facts when implementing spiking neuron networks, 2009.

B. Cessac, H. Rostro, J. C. Vasquez, and T. Viéville, How Gibbs Distributions May Naturally Arise from??Synaptic Adaptation Mechanisms. A??Model-Based??Argumentation, Journal of Statistical Physics, vol.19, issue.4, 2009.
DOI : 10.1007/s10955-009-9786-1
URL : https://hal.archives-ouvertes.fr/inria-00407910

B. Cessac and T. Vieville, Revisiting time discretisation of spiking network models, BMC Neuroscience, vol.8, issue.Suppl 2, p.76, 2007.
DOI : 10.1186/1471-2202-8-S2-P76
URL : https://hal.archives-ouvertes.fr/hal-00784465

E. J. Chichilnisky and R. S. Kalmar, Temporal resolution of ensemble visual motion signals in primate retina, The Journal of neuroscience : the official journal of the Society for Neuroscience, vol.23, issue.17, pp.6681-6689, 2003.

S. Ciocchi, C. Herry, F. Grenier, S. B. Wolff, J. J. Letzkus et al., Encoding of conditioned fear in central amygdala inhibitory circuits, Nature, vol.4, issue.7321, pp.468277-282, 2010.
DOI : 10.1038/nature09559

R. Cofré and B. Cessac, Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses, BMC Neuroscience, vol.14, issue.Suppl 1, p.58, 2012.
DOI : 10.1038/nature04701

A. Cowey, Visual System: How Does Blindsight Arise?, Current Biology, vol.20, issue.17, pp.702-704, 2010.
DOI : 10.1016/j.cub.2010.07.014

F. Crick and C. Koch, Constraints on cortical and thalamic projections: the nostrong-loops hypothesis, Nature, issue.6664, pp.391245-250, 1998.

J. D. Crook, C. M. Davenport, B. B. Peterson, O. S. Packer, P. B. Detwiler et al., Parallel ON and OFF Cone Bipolar Inputs Establish Spatially Coextensive Receptive Field Structure of Blue-Yellow Ganglion Cells in Primate Retina, Journal of Neuroscience, vol.29, issue.26, pp.298372-8387, 2009.
DOI : 10.1523/JNEUROSCI.1218-09.2009

D. Dacey, Origins of Perception: Retinal Ganglion Cell Diversity and the Creation of Parallel Visual Pathways. The Cognitive Neurosciences III, p.281, 2004.

D. M. Dacey, Parallel pathways for spectral coding in primate retina Annual review of neuroscience, pp.743-775, 2000.

D. M. Dacey and B. B. Lee, The 'blue-on' opponent pathway in primate retina originates from a distinct bistratified ganglion cell type, Nature, vol.367, issue.6465, pp.731-735, 1994.
DOI : 10.1038/367731a0

B. De-gelder, J. Van-honk, and M. Tamietto, Emotion in the brain: of low roads, high roads and roads less travelled, Nature Reviews Neuroscience, vol.9, issue.7, p.425, 2011.
DOI : 10.1038/nrn2920-c1

P. Dean, P. Redgrave, and G. W. Westby, Event or emergency? Two response systems in the mammalian superior colliculus, Trends in Neurosciences, vol.12, issue.4, pp.137-147, 1989.
DOI : 10.1016/0166-2236(89)90052-0

A. Delorme, L. Perrinet, and S. J. Thorpe, Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity, Neurocomputing, vol.38, issue.40, pp.38-40539, 2001.
DOI : 10.1016/S0925-2312(01)00403-9

J. T. Desjardin, A. L. Holmes, P. A. Forcelli, C. E. Cole, J. T. Gale et al., Defense-Like Behaviors Evoked by Pharmacological Disinhibition of the Superior Colliculus in the Primate, Journal of Neuroscience, vol.33, issue.1, pp.150-155, 2013.
DOI : 10.1523/JNEUROSCI.2924-12.2013

M. C. Dorris, M. Paré, and D. P. Munoz, Neuronal activity in monkey superior colliculus related to the initiation of saccadic eye movements, The Journal of neuroscience : the official journal of the Society for Neuroscience, vol.17, issue.21, pp.8566-8579, 1997.

J. Dowling, Retina, Scholarpedia, vol.2, issue.12, p.3487, 2007.
DOI : 10.4249/scholarpedia.3487

G. Drion, A. Franci, V. Seutin, and R. Sepulchre, A Novel Phase Portrait for Neuronal Excitability, PLoS ONE, vol.7, issue.8, p.41806, 2012.
DOI : 10.1371/journal.pone.0041806.s005
URL : https://hal.archives-ouvertes.fr/hal-00825278

M. J. Escobar, Bio-Inspired Models for Motion Estimation and Analysis: Human action recognition and motion integration, 2009.

D. J. Felleman and D. C. Van-essen, Distributed Hierarchical Processing in the Primate Cerebral Cortex, Cerebral Cortex, vol.1, issue.1, pp.1-47, 1991.
DOI : 10.1093/cercor/1.1.1

G. D. Field, A. Sher, J. L. Gauthier, M. Greschner, J. Shlens et al., Spatial Properties and Functional Organization of Small Bistratified Ganglion Cells in Primate Retina, Journal of Neuroscience, vol.27, issue.48, pp.2713261-13272, 2007.
DOI : 10.1523/JNEUROSCI.3437-07.2007

D. Fitzpatrick, J. S. Lund, and G. G. Blasdel, Intrinsic connections of macaque striate cortex: afferent and efferent connections of lamina 4C, The Journal of neuroscience : the official journal of the Society for Neuroscience, vol.5, issue.12, pp.3329-3349, 1985.

A. Franci, G. Drion, and R. Sepulchre, An Organizing Center in a Planar Model of Neuronal Excitability, SIAM Journal on Applied Dynamical Systems, vol.11, issue.4, pp.1698-1722, 2012.
DOI : 10.1137/120875016
URL : https://hal.archives-ouvertes.fr/hal-00824991

A. Franci, G. Drion, V. Seutin, and R. Sepulchre, A Balance Equation Determines a Switch in Neuronal Excitability, PLoS Computational Biology, vol.105, issue.5, p.1003040, 2013.
DOI : 10.1371/journal.pcbi.1003040.s001
URL : https://hal.archives-ouvertes.fr/hal-00826259

H. R. Friedman and P. S. Goldman-rakic, Activation of the hippocampus and dentate gyrus by working-memory: a 2-deoxyglucose study of behaving rhesus monkeys, The Journal of neuroscience : the official journal of the Society for Neuroscience, vol.8, issue.12, pp.4693-4706, 1988.

K. Friston, Functional integration and inference in the brain, Progress in Neurobiology, vol.68, issue.2, pp.113-143, 2002.
DOI : 10.1016/S0301-0082(02)00076-X

K. J. Friston and C. J. Price, Generative models, brain function and neuroimaging, Scandinavian Journal of Psychology, vol.42, issue.3, pp.167-177, 2001.
DOI : 10.1111/1467-9450.00228

N. Fuensanta and . Doble, The Human Eye and Adaptive Optics, chapter 8, InTech, 2012.

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

J. L. Gauthier, G. D. Field, A. Sher, M. Greschner, J. Shlens et al., Receptive Fields in Primate Retina Are Coordinated to Sample Visual Space More Uniformly, PLoS Biology, vol.17, issue.4, p.63, 2009.
DOI : 10.1371/journal.pbio.1000063.g006

M. S. Gazzaniga, Cognitive neuroscience : the biology of the mind, 2002.

P. Girard and J. Bullier, Visual activity in area V2 during reversible inactivation of area 17 in the macaque monkey, Journal of neurophysiology, vol.62, issue.6, pp.1287-1302, 1989.

T. Gollisch and M. Meister, Rapid Neural Coding in the Retina with Relative Spike Latencies, Science, vol.319, issue.5866, pp.3191108-1111, 2008.
DOI : 10.1126/science.1149639

T. Gollisch and M. Meister, Eye Smarter than Scientists Believed: Neural Computations in Circuits of the Retina, Neuron, vol.65, issue.2, pp.150-164, 2010.
DOI : 10.1016/j.neuron.2009.12.009

M. A. Goodale and . Milner, Separate visual pathways for perception and action, Trends in Neurosciences, vol.15, issue.1, pp.20-25, 1992.
DOI : 10.1016/0166-2236(92)90344-8

R. Granger and R. Hearn, Models of thalamocortical system, Scholarpedia, vol.2, issue.11, p.1796, 2007.
DOI : 10.4249/scholarpedia.1796

M. Greschner, J. Shlens, C. Bakolitsa, G. D. Field, J. L. Gauthier et al., Correlated firing among major ganglion cell types in primate retina, The Journal of Physiology, vol.395, issue.1
DOI : 10.1113/jphysiol.2010.193888

F. Grimbert, Mesoscopic models of cortical structures, 2008.

S. Grossberg and M. Versace, Spikes, synchrony, and attentive learning by laminar thalamocortical circuits, Brain Research, vol.1218, pp.278-312, 2008.
DOI : 10.1016/j.brainres.2008.04.024

R. W. Guillery and J. K. Harting, Structure and connections of the thalamic reticular nucleus: Advancing views over half a century, The Journal of Comparative Neurology, vol.5, issue.4, pp.360-371, 2003.
DOI : 10.1002/cne.10738

D. E. Hannula, D. J. Simons, and N. J. Cohen, Imaging implicit perception: promise and pitfalls, Nature Reviews Neuroscience, vol.144, issue.3, pp.247-255, 2005.
DOI : 10.1111/1467-9280.00226

S. H. Hendry and R. C. Reid, The Koniocellular Pathway in Primate Vision, Annual Review of Neuroscience, vol.23, issue.1, pp.127-153, 2000.
DOI : 10.1146/annurev.neuro.23.1.127

S. H. Hendry and T. Yoshioka, A neurochemically distinct third channel in the macaque dorsal lateral geniculate nucleus, Science, vol.264, issue.5158, pp.575-577, 1994.
DOI : 10.1126/science.8160015

J. L. Hindmarsh and R. M. Rose, A model of neuronal bursting using three coupled first order differential equations Containing papers of a Biological character, Proceedings of the Royal Society of London. Series B, pp.22187-102, 1222.

S. Hochstein and R. M. Shapley, Quantitative analysis of retinal ganglion cell classifications., The Journal of Physiology, vol.262, issue.2, pp.237-264, 1976.
DOI : 10.1113/jphysiol.1976.sp011594

D. H. Hubel and T. N. , 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

A. Hutt and F. M. Atay, Effects of distributed transmission speeds on propagating activity in neural populations. Physical review. E, Statistical, nonlinear, and soft matter physics, 2006.

A. Hyvärinen, J. Hurri, and P. O. Hoyer, Natural Image Statistics, 2009.
DOI : 10.1007/978-1-84882-491-1

G. E. Irvin, T. T. Norton, M. A. Sesma, and V. A. Casagrande, W-like response properties of interlaminar zone cells in the lateral geniculate nucleus of a primate (Galago crassicaudatus), Brain Research, vol.362, issue.2, pp.254-270, 1986.
DOI : 10.1016/0006-8993(86)90450-6

L. A. Isbell, Snakes as agents of evolutionary change in primate brains, Journal of Human Evolution, vol.51, issue.1, pp.1-35, 2006.
DOI : 10.1016/j.jhevol.2005.12.012

E. Izhikevich and R. Fitzhugh, FitzHugh-Nagumo model, Scholarpedia, vol.1, issue.9, p.1349, 2006.
DOI : 10.4249/scholarpedia.1349

E. G. Jones, Viewpoint: the core and matrix of thalamic organization, Neuroscience, vol.85, issue.2, pp.331-345, 1998.
DOI : 10.1016/S0306-4522(97)00581-2

E. G. Jones, The thalamic matrix and thalamocortical synchrony, Trends in Neurosciences, vol.24, issue.10, pp.595-601, 2001.
DOI : 10.1016/S0166-2236(00)01922-6

E. G. Jones, Thalamic circuitry and thalamocortical synchrony, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.357, issue.1428, pp.1659-1673, 1428.
DOI : 10.1098/rstb.2002.1168

E. Kaplan and E. Benardete, Chapter 2 The dynamics of primate retinal ganglion cells, Progress in brain research, vol.134, pp.17-34, 2001.
DOI : 10.1016/S0079-6123(01)34003-7

H. Kirchner and S. J. Thorpe, Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited, Vision Research, vol.46, issue.11, pp.1762-1776, 2006.
DOI : 10.1016/j.visres.2005.10.002
URL : https://hal.archives-ouvertes.fr/hal-00111074

M. Koivisto, H. Railo, A. Revonsuo, S. Vanni, and N. Salminen-vaparanta, Recurrent Processing in V1/V2 Contributes to Categorization of Natural Scenes, Journal of Neuroscience, vol.31, issue.7, pp.312488-2492, 2011.
DOI : 10.1523/JNEUROSCI.3074-10.2011

C. I. Kolmac and J. Mitrofanis, Organisation of the reticular thalamic projection to the intralaminar and midline nuclei in rats, The Journal of Comparative Neurology, vol.279, issue.2, pp.165-178, 1997.
DOI : 10.1002/(SICI)1096-9861(19970113)377:2<165::AID-CNE2>3.0.CO;2-1

R. J. Krauzlis, The Control of Voluntary Eye Movements: New Perspectives, The Neuroscientist, vol.46, issue.2, pp.124-137, 2005.
DOI : 10.1177/1073858404271196

J. Kremers, B. B. Lee, J. Pokorny, and V. C. Smith, Responses of macaque ganglion cells and human observers to compound periodic waveforms, Vision Research, vol.33, issue.14, pp.1997-2011, 1993.
DOI : 10.1016/0042-6989(93)90023-P

Y. W. Lam and S. M. Sherman, Functional Organization of the Thalamic Input to the Thalamic Reticular Nucleus, Journal of Neuroscience, vol.31, issue.18, pp.316791-6799, 2011.
DOI : 10.1523/JNEUROSCI.3073-10.2011

V. Lamme and P. R. Roelfsema, The distinct modes of vision offered by feedforward and recurrent processing, Trends in Neurosciences, vol.23, issue.11, pp.571-579, 2000.
DOI : 10.1016/S0166-2236(00)01657-X

V. A. Lamme, Blindsight: the role of feedforward and feedback corticocortical connections, Acta Psychologica, vol.107, issue.1-3, pp.209-228, 2001.
DOI : 10.1016/S0001-6918(01)00020-8

V. A. Lamme, H. Super, and H. Spekreijse, Feedforward, horizontal, and feedback processing in the visual cortex, Current Opinion in Neurobiology, vol.8, issue.4, pp.529-535, 1998.
DOI : 10.1016/S0959-4388(98)80042-1

C. E. Landisman, M. A. Long, M. Beierlein, M. R. Deans, D. L. Paul et al., Electrical synapses in the thalamic reticular nucleus, The Journal of neuroscience : the official journal of the Society for Neuroscience, vol.22, issue.3, pp.1002-1009, 2002.

L. Lapicque, Recherches quantitatives sur l'excitation electrique des nerfs traitee comme une polarization, J Physiol Pathol Gen, vol.9, pp.620-635, 1907.

J. Ledoux, The amygdala Current biology : CB, pp.868-874, 2007.

C. Lee, W. H. Rohrer, and D. L. Sparks, Population coding of saccadic eye movements by neurons in the superior colliculus, Nature, vol.332, issue.6162, pp.357-360, 1988.
DOI : 10.1038/332357a0

R. J. Leigh and D. S. Zee, The neurology of eye movements, 2006.

J. Lettvin, H. Maturana, W. Mcculloch, and W. Pitts, What the Frog's Eye Tells the Frog's Brain, Proceedings of the IRE, pp.1940-1951, 1959.
DOI : 10.1109/JRPROC.1959.287207

J. Y. Lin, S. O. Murray, and G. M. Boynton, Capture of Attention to Threatening Stimuli without Perceptual Awareness, Current Biology, vol.19, issue.13, pp.1118-1122, 2014.
DOI : 10.1016/j.cub.2009.05.021

L. Lünenburger, W. Lindner, and K. Hoffmann, Neural activity in the primate superior colliculus and saccadic reaction times in double-step experiments, pp.91-107, 2003.
DOI : 10.1016/S0079-6123(03)42008-6

D. C. Lyon, J. J. Nassi, and E. M. Callaway, A Disynaptic Relay from Superior Colliculus to Dorsal Stream Visual Cortex in Macaque Monkey, Neuron, vol.65, issue.2, pp.270-279, 2010.
DOI : 10.1016/j.neuron.2010.01.003

H. Markram, M. Toledo-rodriguez, Y. Wang, A. Gupta, G. Silberberg et al., Interneurons of the neocortical inhibitory system, Nature Reviews Neuroscience, vol.19, issue.10, pp.793-807, 2004.
DOI : 10.1016/S0166-2236(02)02151-3

R. H. Masland, Neuronal diversity in the retina, Current Opinion in Neurobiology, vol.11, issue.4, pp.431-436, 2001.
DOI : 10.1016/S0959-4388(00)00230-0

R. H. Masland, The fundamental plan of the retina, Nature Neuroscience, vol.42, issue.9, pp.877-886, 2001.
DOI : 10.1038/nn0901-877

R. H. Masland and P. R. Martin, The unsolved mystery of vision, Current Biology, vol.17, issue.15, pp.577-582, 2007.
DOI : 10.1016/j.cub.2007.05.040

J. H. Maunsell, G. M. Ghose, J. A. Assad, C. J. Mcadams, C. E. Boudreau et al., Visual response latencies of magnocellular and parvocellular LGN neurons in macaque monkeys, Visual Neuroscience, vol.16, issue.01, pp.1-14, 1999.
DOI : 10.1017/S0952523899156177

P. J. May, The mammalian superior colliculus: laminar structure and connections, pp.321-378, 2006.
DOI : 10.1016/S0079-6123(05)51011-2

K. Mcalonan and V. J. Brown, The thalamic reticular nucleus: more than a sensory nucleus? The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry, vol.8, issue.4, pp.302-305, 2002.

K. Mcalonan, J. Cavanaugh, and R. H. Wurtz, Attentional Modulation of Thalamic Reticular Neurons, Journal of Neuroscience, vol.26, issue.16, pp.4444-4450, 2006.
DOI : 10.1523/JNEUROSCI.5602-05.2006

B. A. Mcguire, C. D. Gilbert, P. K. Rivlin, and T. N. , Targets of horizontal connections in macaque primary visual cortex, The Journal of Comparative Neurology, vol.162, issue.3, pp.370-392, 1991.
DOI : 10.1002/cne.903050303

M. Meister and M. J. Berry, The Neural Code of the Retina, Neuron, vol.22, issue.3, pp.435-450, 2015.
DOI : 10.1016/S0896-6273(00)80700-X

B. K. Min, A thalamic reticular networking model of consciousness, Theoretical Biology and Medical Modelling, vol.7, issue.1, p.10, 2010.
DOI : 10.1186/1742-4682-7-10

J. J. Nassi and E. M. Callaway, Parallel processing strategies of the primate visual system, Nature Reviews Neuroscience, vol.129, issue.5, pp.360-372, 2009.
DOI : 10.1126/science.1058911

L. G. Nowak and J. Bullier, The Timing of Information Transfer in the Visual System, Extrastriate Cortex in Primates, pp.205-241, 1997.
DOI : 10.1007/978-1-4757-9625-4_5

B. P. Olveczky, S. A. Baccus, and M. Meister, Segregation of object and background motion in the retina, Nature, vol.81, issue.6938, pp.401-408, 2003.
DOI : 10.1088/0954-898X/12/2/306

G. Osterberg, Topography of the Layer of Rods and Cones in the Human Retina, Acta ophthalmologica. Supplementum. A. Busck, 1935.

P. Oudeyer, Aux sources de la parole : auto-organisation etévolutionetévolution, 2013.

L. Perrinet, A. Delorme, M. Samuelides, and S. J. Thorpe, Networks of integrateand-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity, Neurocomputing, pp.38-40817, 2001.

S. E. Petersen, D. L. Robinson, and W. Keys, Pulvinar nuclei of the behaving rhesus monkey: visual responses and their modulation, Journal of neurophysiology, vol.54, issue.4, pp.867-886, 1985.

J. W. Pillow, L. Paninski, V. J. Uzzell, E. P. Simoncelli, and E. J. Chichilnisky, Prediction and Decoding of Retinal Ganglion Cell Responses with a Probabilistic Spiking Model, Journal of Neuroscience, vol.25, issue.47, pp.11003-11013, 2005.
DOI : 10.1523/JNEUROSCI.3305-05.2005

R. D. Raizada and S. Grossberg, Towards a Theory of the Laminar Architecture of Cerebral Cortex: Computational Clues from the Visual System, Cerebral Cortex, vol.13, issue.1, pp.100-113, 1991.
DOI : 10.1093/cercor/13.1.100

R. P. Rao and D. H. Ballard, Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects, Nature Neuroscience, vol.2, issue.1, pp.79-87, 1999.
DOI : 10.1038/4580

F. Rieke, Spikes : exploring the neural code, 1999.

D. L. Robinson and J. W. Mcclurkin, The visual superior colliculus and pulvinar, Reviews of oculomotor research, vol.3, pp.337-360, 1989.

K. S. Rockland and D. N. Pandya, Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkey, Brain Research, vol.179, issue.1, pp.3-20, 1979.
DOI : 10.1016/0006-8993(79)90485-2

K. S. Rockland and A. Virga, Terminal arbors of individual ?Feedback? axons projecting from area V2 to V1 in the macaque monkey: A study using immunohistochemistry of anterogradely transportedPhaseolus vulgaris-leucoagglutinin, The Journal of Comparative Neurology, vol.335, issue.1, pp.54-72, 1989.
DOI : 10.1002/cne.902850106

N. Rougier and J. Fix, DANA: Distributed numerical and adaptive modelling framework, Network, vol.23, issue.4, pp.237-253, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00718780

N. P. Rougier, Dynamic neural field with local inhibition, Biological Cybernetics, vol.16, issue.1, pp.169-179, 2006.
DOI : 10.1007/s00422-005-0034-8
URL : https://hal.archives-ouvertes.fr/inria-00000244

N. P. Rougier and A. Hutt, Synchronous and asynchronous evaluation of dynamic neural fields, Journal of Difference Equations and Applications, vol.12, issue.8, pp.1119-1133, 2010.
DOI : 10.1007/BF00288786
URL : https://hal.archives-ouvertes.fr/inria-00403107

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

G. A. Rousselet, S. J. Thorpe, and M. Fabre-thorpe, How parallel is visual processing in the ventral pathway? Trends in cognitive sciences, pp.363-370, 2004.

N. F. Rulkov, Modeling of spiking-bursting neural behavior using two-dimensional map. Physical review. E, Statistical, nonlinear, and soft matter physics, 2002.

Y. B. Saalmann and S. Kastner, Gain control in the visual thalamus during perception and cognition, Current Opinion in Neurobiology, vol.19, issue.4, pp.408-414, 2009.
DOI : 10.1016/j.conb.2009.05.007

P. Sah, E. S. Faber, M. L. De-armentia, and J. Power, The Amygdaloid Complex: Anatomy and Physiology, Physiological Reviews, vol.83, issue.3, pp.803-834, 2003.
DOI : 10.1152/physrev.00002.2003

P. A. Salin and J. Bullier, Corticocortical connections in the visual system: structure and function, Physiological reviews, vol.75, issue.1, pp.107-154, 1995.

J. H. Sandell and P. H. Schiller, Effect of cooling area 18 on striate cortex cells in the squirrel monkey, Journal of Neurophysiology, vol.48, issue.1, pp.38-48, 1982.

K. E. Schmidt, R. Goebel, S. Löwel, and W. Singer, The Perceptual Grouping Criterion of Colinearity is Reflected by Anisotropies of Connections in the Primary Visual Cortex, European Journal of Neuroscience, vol.6, issue.5, pp.1083-1089, 1997.
DOI : 10.1111/j.1460-9568.1997.tb01459.x

M. T. Schmolesky, Y. Wang, D. P. Hanes, K. G. Thompson, S. Leutgeb et al., Signal timing across the macaque visual system, Journal of neurophysiology, vol.79, issue.6, pp.3272-3278, 1998.

G. Schwartz and M. J. Berry, Sophisticated Temporal Pattern Recognition in Retinal Ganglion Cells, Journal of Neurophysiology, vol.99, issue.4, pp.1787-1798, 2008.
DOI : 10.1152/jn.01025.2007

K. Sergerie, C. Chochol, and J. L. Armony, The role of the amygdala in emotional processing: A quantitative meta-analysis of functional neuroimaging studies, Neuroscience & Biobehavioral Reviews, vol.32, issue.4, pp.811-830, 2008.
DOI : 10.1016/j.neubiorev.2007.12.002

S. Sherman, Thalamus, Scholarpedia, vol.1, issue.9, p.1583, 2006.
DOI : 10.4249/scholarpedia.1583

S. M. Sherman, Abstract, Visual Neuroscience, vol.68, issue.02, pp.205-213, 1996.
DOI : 10.1016/0301-0082(92)90012-4

S. M. Sherman, Tonic and burst firing: dual modes of thalamocortical relay, Trends in Neurosciences, vol.24, issue.2, pp.122-126, 2001.
DOI : 10.1016/S0166-2236(00)01714-8

S. M. Sherman, The thalamus is more than just a relay, Current Opinion in Neurobiology, vol.17, issue.4, pp.417-422, 2007.
DOI : 10.1016/j.conb.2007.07.003

S. M. Sherman and R. W. Guillery, Functional organization of thalamocortical relays, J. Neurophysiol, vol.76, pp.1367-1395, 1996.

S. M. Sherman and R. W. Guillery, On the actions that one nerve cell can have on another: Distinguishing "drivers" from "modulators", Proceedings of the National Academy of Sciences, pp.957121-7126, 1998.
DOI : 10.1073/pnas.95.12.7121

S. M. Sherman and R. W. Guillery, Exploring the thalamus, 2001.

S. M. Sherman and R. W. Guillery, The role of the thalamus in the flow of information to the cortex, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.357, issue.1428, pp.1695-1708, 1428.
DOI : 10.1098/rstb.2002.1161

S. M. Sherman and R. W. Guillery, Exploring the thalamus and its role in cortical function, 2006.

J. Shlens, F. Rieke, and E. Chichilnisky, Synchronized firing in the retina, Current Opinion in Neurobiology, vol.18, issue.4, 2008.
DOI : 10.1016/j.conb.2008.09.010

A. M. Sillito, H. E. Jones, G. L. Gerstein, and D. C. West, Feature-linked synchronization of thalamic relay cell firing induced by feedback from the visual cortex, Nature, vol.369, issue.6480, pp.369479-482, 1994.
DOI : 10.1038/369479a0

V. S. Sohal and J. R. Huguenard, Inhibitory interconnections control burst pattern and emergent network synchrony in reticular thalamus, The Journal of neuroscience : the official journal of the Society for Neuroscience, vol.23, issue.26, pp.8978-8988, 2003.

L. H. Somerville, H. Kim, T. Johnstone, A. L. Alexander, and P. J. Whalen, Human amygdala responses during presentation of happy and neutral faces: correlations with state anxiety, Biological Psychiatry, vol.55, issue.9, pp.897-903, 2004.
DOI : 10.1016/j.biopsych.2004.01.007

F. S. Soo, G. W. Schwartz, K. Sadeghi, and M. J. Berry, Fine Spatial Information Represented in a Population of Retinal Ganglion Cells, Journal of Neuroscience, vol.31, issue.6, pp.312145-2155, 2011.
DOI : 10.1523/JNEUROSCI.5129-10.2011

P. Sterling, How retinal circuits optimize the transfer of visual information, chapter 17, pp.234-259, 2004.

K. J. Stratford, K. Tarczy-hornoch, K. A. Martin, N. J. Bannister, and J. J. Jack, Excitatory synaptic inputs to spiny stellate cells in cat visual cortex, Nature, vol.382, issue.6588, pp.382258-261, 1996.
DOI : 10.1038/382258a0

M. Subbarao, Bounds on time-to-collision and rotational component from first-order derivatives of image flow, Computer Vision, Graphics, and Image Processing, vol.50, issue.3, pp.329-341, 1990.
DOI : 10.1016/0734-189X(90)90151-K

G. Tamás, P. Somogyi, and E. H. Buhl, Differentially interconnected networks of GABAergic interneurons in the visual cortex of the cat, The Journal of neuroscience : the official journal of the Society for Neuroscience, vol.18, issue.11, pp.4255-4270, 1998.

M. Tamietto and B. De-gelder, Neural bases of the non-conscious perception of emotional signals, Nature Reviews Neuroscience, vol.34, issue.10, pp.697-709, 2010.
DOI : 10.1038/nrn2889

W. Taouali, F. Alexandre, A. Hutt, and N. P. Rougier, Asynchronous Evaluation as an Efficient and Natural Way to Compute Neural Networks, AIP Conference Proceedings, pp.554-558, 2009.
DOI : 10.1063/1.3241522
URL : https://hal.archives-ouvertes.fr/inria-00408178

J. G. Taylor, Towards the networks of the brain: from brain imaging to consciousness, Neural Networks, vol.12, issue.7-8, pp.943-959, 1999.
DOI : 10.1016/S0893-6080(99)00044-1

E. Teftef, C. Carvajal, T. Viéville, and F. Alexandre, When early vision in the retina attempts to take decisions about visual motion events : the role of konio cells, Third International Symposium on Biology of Decision Making, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00826099

E. Teftef, M. Escobar, A. Astudillo, C. Carvajal, B. Cessac et al., Modeling non-standard retinal in/out function using computer vision variational methods, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00783091

W. M. Thorburn, The Myth of Occam's Razor. Mind, pp.345-353, 1918.

S. Thorpe, D. Fize, and C. Marlot, Speed of processing in the human visual system, Nature, issue.6582, pp.381520-522, 1996.

S. J. Thorpe, M. Fabre-thorpe, and . Neuroscience, Seeking categories in the brain, Science, issue.5502, pp.291260-263, 2001.

A. M. Treisman, SELECTIVE ATTENTION IN MAN, British Medical Bulletin, vol.20, issue.1, pp.12-16, 1964.
DOI : 10.1093/oxfordjournals.bmb.a070274

Y. D. Van-der-werf, M. P. Witter, and H. J. Groenewegen, The intralaminar and midline nuclei of the thalamus. Anatomical and functional evidence for participation in processes of arousal and awareness, Brain Research Reviews, vol.39, issue.2-3, pp.107-140, 2002.
DOI : 10.1016/S0165-0173(02)00181-9

D. C. Van-essen, C. H. Anderson, and D. J. Felleman, Information processing in the primate visual system: an integrated systems perspective, Science, vol.255, issue.5043, pp.255419-423, 1992.
DOI : 10.1126/science.1734518

D. C. Van-essen, W. T. Newsome, J. H. Maunsell, and J. L. Bixby, The projections from striate cortex (V1) to areas V2 and V3 in the macaque monkey: Asymmetries, areal boundaries, and patchy connections, The Journal of Comparative Neurology, vol.194, issue.4, pp.451-480, 1986.
DOI : 10.1002/cne.902440405

R. Vanrullen and S. J. Thorpe, The Time Course of Visual Processing: From Early Perception to Decision-Making, Journal of Cognitive Neuroscience, vol.73, issue.4, pp.454-461, 2001.
DOI : 10.1046/j.1460-9568.1999.00531.x

F. J. Varela, Invitation aux sciences cognitives, Seuil, 1996.

T. Viéville and S. Crahay, Using an Hebbian Learning Rule for Multi-Class SVM Classifiers, Journal of Computational Neuroscience, vol.17, issue.3, pp.271-287, 2004.
DOI : 10.1023/B:JCNS.0000044873.20850.9c

T. Vieville and P. Kornprobst, Modeling Cortical Maps with Feed-Backs, Neural Networks, 2006. IJCNN &#039;06. International Joint Conference on, pp.110-117

S. Vijayan and N. J. , Thalamic model of awake alpha oscillations and implications for stimulus processing, Proceedings of the National Academy of Sciences, pp.18553-18558, 2012.
DOI : 10.1073/pnas.1215385109

P. Vuilleumier, How brains beware: neural mechanisms of emotional attention, Trends in Cognitive Sciences, vol.9, issue.12, pp.585-594, 2005.
DOI : 10.1016/j.tics.2005.10.011

F. S. Werblin, The retinal hypercircuit: a repeating synaptic interactive motif underlying visual function, The Journal of Physiology, vol.27, issue.Suppl 6, pp.3691-3702, 2011.
DOI : 10.1113/jphysiol.2011.210617

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 : 10.1007/BF00288786

A. Wohrer, Model and large-scale simulator of a biological retina, with contrast gain control, Thèse de doctorat dirigée par Kornprobst, 2008.

A. Wohrer and P. Kornprobst, Virtual Retina: A biological retina model and simulator, with contrast gain control, Journal of Computational Neuroscience, vol.32, issue.3, pp.219-249, 2009.
DOI : 10.1007/s10827-008-0108-4
URL : https://hal.archives-ouvertes.fr/inria-00160716

R. H. Wurtz and J. E. Albano, Visual-Motor Function of the Primate Superior Colliculus, Annual Review of Neuroscience, vol.3, issue.1, pp.189-226, 1980.
DOI : 10.1146/annurev.ne.03.030180.001201

X. Xu, J. M. Ichida, J. D. Allison, J. D. Boyd, A. B. Bonds et al., ), The Journal of Physiology, vol.29, issue.1, pp.531203-218, 2001.
DOI : 10.1111/j.1469-7793.2001.0203j.x

A. L. Yarbus, Eye Movements and Vision, 1967.
DOI : 10.1007/978-1-4899-5379-7

S. Zeki and S. Shipp, The functional logic of cortical connections, Nature, vol.335, issue.6188, pp.311-317, 1988.
DOI : 10.1038/335311a0