Staff

I am studying how previously learnt knowledge and predictions lead to efficient representations in the brain and how such predictions facilitate face perception.

In my work with macaque monkeys, I focus on sensory predictions about visual features of faces based on information learnt on timescales of a few hours using functional magnetic resonance imaging (fMRI) and in-vivo electrophysiology. I complement this by studying how abstract and conceptual predictions learnt through contextual cues and regularities acquired through a very few repetitions affect perception in humans using invasive electrophysiology (iEEG). 

Nigam, T., Schwiedrzik, C.M. (2023), Predictions enable top-down pattern separation in the macaque face-processing hierarchy. https://doi.org/10.1101/2023.10.02.560497

Nigam, T., Schwiedrzik C.M. (2022), High-level prediction signals cascade through the macaque face-processing hierarchy, Peer-Reviewed Conference Proceedings of Computational and Systems Neuroscience (COSYNE) 2022