Corentin Massot, PhD

   Research Assistant Professor

   Computational neuroscience

 

   University of Pittsburgh, Pennsylvania, USA.

 

   corentinmassot[at]yahoo.fr

 

 

 

I am a computer scientist with expertise in neuroscience. I did my PhD in Cognitive Science where I implemented a biologically-motivated model of the primary visual cortex for 3D perception from texture. Then I moved to neuroscience and to Montreal, Canada at McGill University where I conducted neurophysiological experiments in the vestibular system. I studied the non-linear properties of sensory processing by vestibular-only neurons in the vestibular nuclei. Then, I moved to Pittsburgh, USA at Carnegie Mellon University where I conducted experiments in the primary visual cortex (V1/V2) using laminar probes. I studied hierarchical processing of the visual information. Then, I transitioned to the University of Pittsburgh where I conducted experiments in the Superior Colliculus using laminar probes. I studied the characteristics of the neural activity across layers related to the sensorimotor transformation necessary to generate saccadic eye movements. My current research projects involve reinforcement learning and the analysis of dopaminergic activity for value-based decision making. 

 

Education

PhD in Cognitive Science (3D visual perception from texture)

Master in Cognitive Science

Bachelor in Theoretical Computer Science

 

CV

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News

10/10/2019: I will be presenting our current work on LFP in the Superior colliculus at the nanosymposium ‘Dynamic Signal Integration Across Saccades’ at SFN in Chicago next 20th of October at 8am (Room S505). The title of the talk is ‘External Inputs and Intrinsic dynamics of the Superior Colliculus Revealed by Local Field Potentials’.

 

08/15/2019: Our Paper ‘Sensorimotor transformation elicits systematic patterns of activity along the dorsoventral extent of the superior colliculus in the macaque monkey’ has been published in Communications Biology (Nature). Paper

 

09/01/2019: I have joined the Stauffer’s lab at the University of Pittsburgh to work on computational modelling and behavioral analysis of value-based decision making and reinforcement learning in the brain.

 

 

 

 

 

 

Past and current research interests

 

(6) Reinforcement learning and dopaminergic activity for value-based decision making.

(5) Sensorimotor transformation and laminar analysis of the superior colliculus.

(4) Hierarchical visual processing in the primary visual system.  

       

(3) Vestibular information processing by the vestibular nuclei.

(1) Texture analysis and 3D perception from texture. 

Publications

Journal papers:

7- Massot C., Jagadisan U.K. & Gandhi N.J., Sensorimotor transformation elicits systematic patterns of activity along the dorsoventral extent of the superior colliculus in the macaque monkey, Communications Biology, 2019. Link

6- Massot C., Schneider D. A., Chacron M. & Cullen E. K., The Vestibular System Implement a Linear-NonLinear Transformation in order to Encode Self-Motion, Plos Biology, 2012. Link

5- Massot C., Chacron M. & Cullen E. K., Information Transmission and Detection Thresholds in the Vestibular Nuclei:  Single Neurons versus Population Encoding, Journal of Neurophysiology, 2011. Link

4- Cullen E. K., Brooks J.X., Jamali M, Carriot J. & Massot C., Internal Models of Self Motion: Computations that Suppress Vestibular Reafference in Early Vestibular Processing, Experimental Brain Research, 2010. Link

3- Van Horn R. M., Mitchell E. D. Massot C. & Cullen E. K., Local Field Potentials Dynamically Encode Behaviorally Relevant Information That Is Not Available in Spike Trains Alone, Journal of Neuroscience, 2010. Link

2- Massot C. & Hérault J., Model of Frequency Analysis in the Visual Cortex and the Shape from Texture Problem, International Journal of Computer Vision, 76(2), 2008. Link

1- Massot C. & Hérault J., Extraction de la Forme et de la Perspective dans des Textures Artificielles et Naturelles par Modèles Corticaux, Revue Traitement du Signal, 23, 2006 (selected among best papers for publication at GRETSI 2005). Link

 

Peer-reviewed Proceedings and Lecture Notes in Computer Science:

3- Massot C. & Hérault J., Recovering the Shape from Texture Using Lognormal Filters. International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium, 2005. Link

2- Massot C. & Hérault J. Extraction de la forme et de la perspective dans des textures artificielles et naturelles par modèles corticaux. Colloque GRETSI, Louvain-la-Neuve, Belgique, 2005.

1- Massot C. & Hérault J. Extraction d’indices de perspective dans les scènes naturelles par modèles corticaux. Colloque GRETSI, Paris, France, 2003.

 

Conference Abstracts:

 

18- Massot C., External Inputs and Intrinsic dynamics of the Superior Colliculus Revealed by Local Field Potentials, Nanosymposium Dynamic Signal Integration Across Saccades (talk), Society for Neuroscience (SFN), Chicago, USA, 2019.

17- Massot C., Jagadisan U. K. & Gandhi J. N., Functional Organization of the Pre-saccadic Neural Activity in the Superior Colliculus, Nanosymposium Vision and Eye Movements (talk), Society for Neuroscience (SFN), San Diego D.C., USA, 2018.

16- Massot C., Jagadisan U. K. & Gandhi J. N., Measure of Visual Onset Latency Across Depths in the Superior Colliculus, Society for Neuroscience (SFN), Washington D.C., USA, 2017.

15- Massot C., Jagadisan U. K. & Gandhi J. N., Laminar Analysis of Neural Activity in the Superior Colliculus, Gordon Research Conference (GRC/GRS), Bates College, USA, 2017.

14- Massot C., Jagadisan U. K. & Gandhi J. N., Insights into Sensorimotor Transformation in the Superior Colliculus through Current-Source Density Analysis, Society for Neuroscience (SFN), San Diego, USA, 2016.

13- Jagadisan U. K., Massot C. & Gandhi J. N., Laminar Analysis of the Superior Colliculus, Society for Neuroscience (SFN), Chicago, USA, 2015.

12- Massot C. & Lee T.S., Sensitivity to the Gradient of Spatial Frequency in the Early Visual Cortex, Society for Neuroscience (SFN), Washington D.C., USA, 2014.

11- Massot C. & Lee T.S., Sparse and Distributed Representation of Edge Concepts in V1 and V2 Neuronal Populations, Society for Neuroscience (SFN), Washington D.C., USA, 2014.

10- Massot C. & Lee T.S., Sensitivity to Spatial Frequency Chirp in the Early Visual Cortex, Vision Sciences Society (VSS), St Pete Beach, USA, 2014.

9- Massot C. & Lee T.S., Sensitivity of Early Visual Cortical Neurons to Edge Visual Concepts, Vision Sciences Society (VSS), St Pete Beach, USA, 2014.

8- Massot C., Chacron M. & Cullen K.E., Information Processing in the Vestibular system: a Population Study, Society for Neuroscience (SFN), San Diego, USA, 2010.

7- Massot C., Chacron M. & Cullen K.E., Event detection in the Vestibular system: Detection Thresholds of Central and Afferent Neurons, Society for Neuroscience (SFN), Chicago, USA, 2009.

6- Massot C., Chacron M. & Cullen K.E., Event detection in the Vestibular system: Central VS Afferent Neurons Canadian Physiological Society (CPS), Quebec, Canada, 2009

5- Massot C., Mamassian P. & Hérault J., 3D Shape Perception from Texture: Psychophysical Experiments and Computational Modeling, meeting at Center for Visual Science (CVS), Rochester, USA, 2008

4- Massot C., Chacron M. & Cullen K.E., Information transmission in the vestibular system, Society for Neuroscience (SFN), Washington D.C., 2008

3- Massot C., Chacron M. & Cullen K.E., Information Transmission in the Vestibular System: Central versus Afferent Neurons Canadian Neuroscience Society (CAN), Montréal, Canada, 2008

2- Massot C. & Cullen K.E., Biological Model of Shape from Texture Analysis, Canadian Physiological Society (CPS), Mont Saint-Anne, Canada, 2007

1- Massot C., Mamassian P. & Hérault J., Analysis of the combination of frequency and orientation cue in texture orientation perception. European Conference on Visual Perception (ECVP), ACoruna, Spain,2005.

 

Other Peer-reviewed Publications:

2-Hammal Z. & Massot C., Holistic and Feature-based Information towards Dynamic Multi-Expressions Recognition, Communications in Computer and Information Science (CCIS 229), Springer-Verlag, 2010 (selected among best papers for publication at VISIGRAPP 2010).

1- Hammal Z., Massot C., Bedoya G. & Caplier A. Eyes Segmentation Applied to Gaze Direction and Vigilance Estimation. International Conference on Advances in Pattern Recognition (ICAPR). Bath, United Kingdom, 2005. Link