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The Perception and Sensory Motor Research Team (PSM) studies perceptuo-motor systems and how they interact in order to deal with our complex environment and act on it. Specifically, our goal is to understand the mechanisms of functional adaptation involved in perceptual and sensorimotor processing.

Our first research theme focuses on the development of a computational and neurophysiological model for visual perception. In this context, we investigate the processing of colour and spatial frequency information in biologically pertinent stimuli, such as photographs of scenes or faces. We apply our model to the emotional experience induced by visual stimuli considering motor influences. We also study the functional role of saccades, microsaccades and blinks in the achievement of cognitive visual tasks. Finally, we investigate functional cerebral plasticity and the connectivity of visual and sensorimotor processing.

Our second research theme focuses directly on the interaction between sensory and motor processing. We investigate the influence of visual, proprioceptive and vestibular information, but also social factors, in our perception of space and the control of movement. We also investigate the integration of visual and proprioceptive information streams in kinaesthesia and the representation of our body.

Our team uses a multidisciplinary approach which involves experts in different disciplines (cognitive psychology, neuropsychology, biology, mathematics, robotics), including several methods (behavioural experiments with a developmental approach ; neuropsychological assessment in different pathological models : age-related macular degeneration, glaucoma, hemianopsia, bipolar disorders, anorexia ; neurophysiolgical methods : fMRI, EEG, TMS ; computational modelling : bio-inspired artificial systems, and Bayesian methodology).

Our research has an impact at the clinical level, especially in the domain of rehabilitation, but also at the industrial level with the development of new algorithms to enhance the image quality of digital cameras.


StatutairesNon Statutaires
David Alleysson Marie-Lou Barnaud
Thierry Bougerol Brice Beffara
Jean-Pierre Bresciani Lysianne Beynel
Aurélie Campagne Amélie Bret
Alan Chauvin Estelle Braillon
Corinne Cian Marie Chancel
Julien Diard Emmanuel Descroix
Eve Dupierrix Gaëtan Merlhiot
Christian Graff Morgane Metral
Michel Guerraz Jean-François Patri
Sylvain Harquel Prakhar Amba
Caroline Jolly Céline Piscicelli
Christian Marendaz
Martial Mermillod
Richard Palluel-Germain
Dominic Pérennou
Carole Peyrin
Chercheurs Associés
Edouard Gentaz
Chercheurs en Délégation CNRS
Dominique Muller
Chercheurs Invités
Charles Leek

Main publications

  • Kauffmann, L., Ramanoël, S., Guyader, N., Chauvin, A., Peyrin, C. (2015). Spatial frequency Processing in scene-selective cortical regions. NeuroImage. 112, 86-95.
  • Piscicelli, C., Barra, J., Davoine, P., Chripin, A., Nadeau, S., Pérennou, D. Inter- and intra-rater reliability of the visual vertical in subacute. Stroke.s
  • Metral, M., Chancel, M., Brun, C., Luyat, M., Kavounoudias, A., & Guerraz, M. (2015). Kinaesthetic mirror illusions and spatial congruence. Experimental Brain Research.
  • Pérennou, D., Piscicelli, C., Barbieri, G., Jaeger, M., Marquer, A., Barra, J. (2014). Measuring verticality perception after stroke : why and how ? Clinical Neurophysiology, 44(1), 25-32.
  • Chanceaux, M., Rynik, V., Lorenceau, J. & Diard, J. (2014). Writer recognition in cursive eye writing : a Bayesian model. In P. Bello, M. Guarini, M. McShane, and B. Scassellati, editors, Proceedings of the 36th Annual Conference of the Cognitive Science Society, pages 2014–2019, Austin, TX, 2014. Cognitive Science Society.
  • Kauffmann, L., Ramanoël, S., & Peyrin, C. (2014). The neural bases of spatial frequency processing during scene perception. Frontiers in Integrative Neuroscience. 8:37.
  • Beynel, L., Chauvin, A., Guyader, N., Harquel, S., Bougerol, T., Szekely, D., & Marendaz, C. (2014). What saccadic eye movements tell us about TMS-induced neuromodulation of the DLPFC and mood changes : a pilot study in bipolar disorders. Frontiers in Integrative Neuroscience.
  • Osiurak, F., Morgado, N., Vallet, G., Drot, M., & Palluel-Germain, R. (2014). Getting a tool gives wings : overestimation of tool-related benefits in a motor imagery task and a decision task. Psychological Research, 78(1), 1-9.
  • Metral, M., Guinot, M., Bresciani, J.P., Luyat, M., Roulin, J.L., & Guerraz, M. (2014). Bimanual coordination with three hands : Is the mirror hand of any help ? Neuropsychologia 52:11-18.
  • Mathieu, N.G., Gentaz, E., Harquel, S., Vercueil, L., Bonnet, S., Guillemaud, R., Ida, M., & Campagne, A. (2014). Brain processing of emotional scenes with age : Effect of arousal and affective context. PLoS One.
  • Musel, B., Kauffmann, L., Ramanoël, S., Giavarini, C., Guyader, N., Chauvin, A., & Peyrin, C. (2014). Coarse-to-Fine categorization of visual scenes in scene-selective cortex. Journal of Cognitive Neuroscience.
  • Jolly, C. & Gentaz, E. (2014). Analysis of cursive letters, syllables, and words handwriting in a French second-grade child with Developmental Coordination Disorder and comparison with typically developing children. Frontiers in Psychology - Cognitive Science 4 : 1022.
  • Diard, J., Rynik, V., & Lorenceau, J. (2013). A bayesian computational model for online character recognition and disability assessment during cursive eye writing. Frontiers in Psychology, 4:843.
  • Mermillod, M., Vermeulen, N., Kaminsky, G., Gentaz, E., & Bonin, P., (2013). The Importance of Feature Distribution and Correlation for Simulating 3 to 4-month-old Infants’ Visual Categorization Processes. Visual Cognition, 21(6), 726-738.
  • Laurent, R., Moulin-Frier, C., Bessière, P., Schwartz, J.L, & Diard, J. (2013). Integrate, yes, but what and how ? A computational approach of sensorimotor fusion in speech perception. Behavioral and Brain Sciences (commentary), 36(4), 364-365.
  • Morgado, N., Gentaz, E., Guinet, E., Osiurak, F., & Palluel-Germain, R. (2013). Within Reach but not so Reachable : Obstacles Matter in Visual Perception of Distances. Psychonomic Bulletin & Review, 20(3), 462-7.
  • Metral, M., Blettery, B., Bresciani, J.P., Luyat, M., & Guerraz, M. (2013). Trying to move your unseen static arm modulates visually-evoked kinesthetic illusion. PLoS One 8:e80360.
  • Hicheur, H., Zozor, S., Campagne, A., & Chauvin, A. (2013). Microsaccades are modulated by both attentional demands of a visual discrimination task and background noise. Journal of Vision, 13(13):18, 1–20.
  • Fradcourt, B., Peyrin, C., Baciu, M., Campagne, A. (2013). Behavioral assessment of emotional and motivational appraisal during visual processing of emotional scenes depending on spatial frequencies. Brain and Cognition, 83 (1), 104-113.
  • Peyrin, C. (2013). Les détails ne nous sautent pas aux yeux. La Recherche, 477, 80-82.
  • Musel, B., Bordier, C., Dojat, M., Pichat, C., Chokron, S., Le Bas, J.F., & Peyrin, C. (2013). Retinotopic and lateralized processing of spatial frequencies in human visual cortex during scene categorization. Journal of Cognitive Neuroscience, 25 (8), 1315-1331.
  • Malsert, J., Chauvin, A., Guyader, N., Polosan., M., Szekely D., Bougerol, T., & Marendaz, C. (2013). Saccadic performance and cortical excitability as trait-markers and state-markers in rapid cycling bipolar disorder : a follow-up study. Frontiers in Neuopsychiatric Imaging and Stimulation.
  • Alleysson, D., & Meary, D. (2012). Neurogeometry of color vision, J. Physiol. Paris, 106, 284-296.
  • Bachy, R., Dias, J., Alleysson, D., & Bonnardel, V. (2012). Hue discrimination, unique hues and naming, J. Opt. Soc. Am., A, 29, 60-68.
  • Beffara, B., Ouellet, M., Vermeulen, N., Basu, A., Morisseau, T., & Mermillod, M. (2012). Enhanced embodied response following ambiguous emotional processing. Cognitive Processing, 13, 103-106.
  • Guerraz, M., Provost, S., Narrisson, R., Brugnon, A., Virolle, S., Bresciani, J.P. (2012). Integration of visual and proprioceptive afferents in kinesthesia. Neuroscience, 223, 258-268.
  • Malsert, J., Guyader, N., Chauvin, A., Polosan, M., Poulet, E., Szekely, D., Bougerol, T., & Marendaz, C. (2012). Antisaccades as follow-up tool in major depressive disorders therapies : A pilot study. Psychiatry Research, 2, 1051-1053.
  • -*Osiurak, F., Morgado, N., & Palluel-Germain, R. (2012). Tool use and perceived distance : When unreachable becomes spontaneously reachable. Experimental Brain Research. 218, 331-9.
  • Malsert, J., Guyader, N., Chauvin, A., & Marendaz, C. (2012). Having to identify a target reduces antisaccade latencies in mixed saccadic paradigms : a top-down effect released by tonic prefrontal activation ? Cognitive neuroscience, 3, 105-111.
  • Musel, B., Chauvin, A., Guyader, N., Chokron, S., & Peyrin, C. (2012). Is coarse-to-fine strategy sensitive to normal aging ? PLoS One, 7 (6) : e38493.
  • Gilet, E., Diard, J., & Bessière, P. (2011). Bayesian action-perception computational model : Interaction of production and recognition of cursive letters. PLoS ONE, 6(6) :e20387.
  • Morgado, N., Muller, D., Gentaz, E., & Palluel-Germain, R. (2011). Close to me ? The influence of affective closeness on space perception. Perception, 40, 877-879.
  • Musel, B., Hera, R., Chokron, S., Alleysson, D., Chiquet, C., Romanet, J.P., Guyader, N., & Peyrin, C. (2011). Residual abilities in age-related macular degeneration patients to process spatial frequencies during natural scenes categorization. Visual Neuroscience, 28 (6), 529-541.
  • Alleysson, D. (2010). Spatially coherent colour image reconstruction from a trichromatic mosaic with random arrangement of chromatic samples. Ophtalmic and Physiological Optics, 30(5), 492-502.
  • Guyader, N., Malsert, J., & Marendaz, C. (2010). Having to identify a target reduces latencies in pro- but not in anti-saccade tasks. Psychological Research, 74, 12-20.
  • Peyrin, C., Michel, C., Schwartz, S., Seghier, M., Thut, G., Landis, T., Marendaz, C. & Vuilleumier, P. (2010). The neural substrates and timing of top-down processes during coarse-to-fine categorization of visual scenes : A combined fMRI and ERP study. Journal of Cognitive Neuroscience, 22 (12), 2768-2780.