I am a post-doctoral fellow at the Centre de Recherche Cerveau & Cognition (CerCo) in Toulouse, France. I am passionate about mathematics and technology, and fascinated by the human brain – in particular, the visual brain. Consequently, my research revolves around three major axes:
I employ computational modelling and more traditional approaches such as psychophysics to study two key aspects of the human visual system: colour and binocularity. I am interested in how the statistics of our environment influence us at both a neural, and a behavioural level.
I am deeply intrigued by the adaptability of our neural apparatus, and believe that a deeper appreciation of its functioning also necessitates an exploration of its development and evolution. My research in this domain focuses on emergent properties in the early visual system. A key component of my work is the application of my models to the study of clinical disorders.
Advances in bio-inspired technologies such as ‘spiking’ cameras and neuromorphic ICs offer exciting new computational possibilities for machine-learning. My work aims to bring these technologies around full-circle, and leverage them towards the development of neuroscience-centric methodologies which will be useful both in the lab, as well as the clinic.
Sadoun, A., Chauhan, T., Mameri, S., Zhang, Y., Barone, P., Deguine, O., & Strelnikov, K. (2020). Stimulus-specific information is represented as local activity patterns across the brain. NeuroImage, 223, 117326. [doi]
Chauhan, T., Héjja-Brichard, Y., & Cottereau, B. (2020). Modelling binocular disparity processing from statistics in natural scenes. Vision Research, 176, 27–39. [doi]
Makin, A., Baurès, R., Cremoux, S., & Chauhan, T. (2020). Simultaneous mental updating in physical space and number space. bioRxiv, 985424. [doi]
Chauhan, T., Masquelier, T., & Cottereau, B. (2019). Sub-optimality of the early visual system explained through biologically plausible plasticity. bioRxiv, 799155. [doi]
Chauhan, T., Xiao, K., & Wuerger, S. (2019). Chromatic and luminance sensitivity for skin and skinlike textures. Journal of Vision, 19(1), 13–13. [doi]
Chauhan, T., Masquelier, T., Montlibert, A., & Cottereau, B. (2018). Emergence of binocular disparity selectivity through Hebbian learning. The Journal of Neuroscience, 38(44), 9563–9578. [doi]
Xiao, K., Pointer, M., Cui, G., Chauhan, T., & Wuerger, S. (2015). Unique hue data for colour appearance models. Part III: Comparison with NCS unique hues. Color Research & Application, 40(3), 256–263. [doi]
Makin, A., & Chauhan, T. (2014). Memory-guided tracking through physical space and feature space. Journal of Vision, 14(13), 10–10. [doi]
Chauhan, T., Perales, E., Xiao, K., Hird, E., Karatzas, D., & Wuerger, S. (2014). The achromatic locus: effect of navigation direction in color space. Journal of Vision, 14(1), 1–11. [doi]
Chauhan T. (2020, January). Decoding unique hues from EEG signals. Annual meeting of the Colour Group of Great Britain 2020, University College London, London, UK.
Chauhan T., Masquelier T., & Cottereau B. (2019, June). A bio-inspired STDP network for event-based unsupervised learning. Information, Signal, Image and ViSion: Emerging visual sensors (GDR ISIS) 2019, Paris, France.
Chauhan T., Masquelier T., Monlibert A., & Cottereau B. (2017, July). Emergence of disparity selective neurons through spike-based learning from naturalistic stereoscopic datasets. Annual Computational Neuroscience Meeting (CNS) 2017, Antwerp, Belgium.
Chauhan T., Masquelier T., Monlibert A., & Cottereau B. (2017, August). Learning binocular disparity selectivity through spike-timing dependent plasticity. European Conference on Visual Perception (ECVP) 2017, Berlin, Germany.
My work on binocular vision is carried out with Benoit Cottereau, in close collaboration with Timothée Masquelier on aspects related to STDP neural networks. I also collaborate with Sophie Wuerger and Jasna Martinovic on colour vision.