Postdoctoral Fellow
Ingmar Kanitscheider

Center for Theoretical and Computational Neuroscience
After obtaining my PhD in theoretical physics at the University of Amsterdam I was a postdoc in the lab of Alexandre Pouget, first at the University of Rochester and later at the University of Geneva in Switzerland. I joined UT Austin in August 2014. My work deals with a broad range of issues around probabilistic computation and representation in neurons, the impact of noise correlations on information, and probabilistic neural algorithms for navigation and map-building.

Jens-Oliver Muthmann
I studied physics at the University of Freiburg and did my diploma work on doubly stochastic point processes under guidance of Stefan Rotter. Afterwards, I joined the Erasmus Mundus EuroSPIN programme for a joint PhD between the groups of Upinder Bhalla (NCBS, Bangalore) and Matthias Hennig (University of Edinburgh). My research there focused on spike detection in recordings with high density microelectrode arrays and network dynamics in dissociated cultures. I joined the group of Alex Huk in 2017. I am currently interested in neural representations of visual stimuli in the dorsal stream during natural tracking behavior. In particular, I aim to study the representation of information that arrives with different temporal delays, the response to saccadic eye movements and to what extent stimuli are predicted by the brain.

Manyi Yim

Center for Theoretical and Computational Neuroscience
I joined the Center for Theoretical and Computational Neuroscience at UT Austin as a postdoctoral research fellow in 2017, working with Ila Fiete and Thibaud Taillefumier on theoretical approaches to understand how the brain computes. My research focus is to study the functions of brain circuits as well as neural correlates of cognition based on experimental data, and develop models and theories to understand the underlying mechanisms. I graduated from the Chinese University of Hong Kong with a BSc degree in Physics and a minor in Mathematics, and a MPhil degree in Physics. Afterwards, I did my PhD in Computational Neuroscience in Ad Aertsen’s group in the Bernstein Center Freiburg, Germany. Prior to joining UT Austin, I was an independent postdoc at University of Hong Kong, and then a postdoc with Xiao-Jing Wang and Xinying Cai at NYU Shanghai, working on the neural mechanisms underlying value-based decision making.

Rishidev Chaudhuri

Center for Theoretical and Computational Neuroscience
My research interests lie at the intersection of neuroscience and applied mathematics: building theoretical frameworks to understand computation in the brain; developing statistical tools to analyze experimental data; and modeling the dynamics of distributed neural systems. At the moment I’m investigating representations of space and context in the entorhinal cortex and hippocampus, the computational properties of dynamical systems inspired by error-correcting codes, and the use of random networks for modeling cortical dynamics, with a particular focus on data from electrocorticography (ECoG).