Dr Andrew Meso
Lecturer in Computational Neuroscience
Contact details:
E-mail: andrew.meso@kcl.ac.uk
ORCID: 0000-0002-1919-7726
Scopus Author ID: 24824938200
Department
Research interests
I am interested in dynamic human visual processing as a window into typical and atypical functioning of the sensory brain. I use computer based cognitive tasks, eye tracking and ECG recordings alongside quantitative analysis and modelling tools to study how visual cortex and mid brain areas allow us to make sense of what we see and successfully interact with a dynamic world. I study the basic (fundamental) integratory sensory mechanisms common to all as well as individual differences which might arise from pathological traits such as schizotypy.
Evidence of inverted gravity-driven variation in predictive sensorimotor function
Meso, A. I., De Vai, R. L., Mahabeer, A. & Hills, P. J., Dec 2020, In: European Journal of Neuroscience. 52, 12, p. 4803-4823 21 p.Research output: Contribution to journal › Article › peer-review
Scene Regularity Interacts With Individual Biases to Modulate Perceptual Stability
Li, Q., Meso, A. I., Logothetis, N. K. & Keliris, G. A., 28 May 2019, In: Frontiers in Neuroscience. 13Research output: Contribution to journal › Article › peer-review
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures
Vacher, J., Meso, A. I., Perrinet, L. U. & Peyre, G., Dec 2018, In: Neural Computation. 30, 12, p. 3355-3392Research output: Contribution to journal › Article › peer-review
Recurrent network dynamics reconciles visual motion segmentation and integration
Medathati, N. V. K., Rankin, J., Meso, A. I., Kornprobst, P. & Masson, G. S., 12 Sep 2017, In: Scientific Reports. 7Research output: Contribution to journal › Article › peer-review
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Looking for symmetry: fixational eye movements are biased by image mirror symmetry
Research output: Contribution to journal › Article › peer-review
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