I am interested in the general principles underlying the function of the cerebral cortex and its interactions with subcortical structures, particularly the thalamus. The cortex is the brain structure considered to be the seat of most of our higher cognitive functions, including conscious perception, motor action, planning, abstract thinking, spatial navigation, language, numeracy, introspection and imagination, to name a few. Despite the seemingly disparate range of functions attributed to different regions of the cortex, there is a striking similarity in their basic circuit architecture, suggesting the existence of common cortical computations of relevance to all forms of cognition. I am working on developing neural network models that incorporate features from cortico-thalamic circuits in order to understand the type of computational advantages that such architectures could confer to the brain.
I am a postdoc researcher under Chris Summerfield and Andrew Saxe. I did my PhD in Experimental Psychology at Oxford, and have mixed background in acoustical engineering, music technology, psychophysics, and cognitive neuroscience. I study the neuro-computational mechanisms of structure learning and inference, using neuroimaging (MEG/fMRI), computational models, and machine intelligence.
How we make choices is a popular subject of interest across psychology and neuroscience, and increasingly machine learning. Most of this work has focused on theories for how to make the best choices at the steady-state, that is, after learning. I am particularly interested in how we learn to make the best choices.
I am a PhD Candidate at Harvard in David Cox’s lab and have been collaborating with Andrew Saxe on this question for some time. We hope to provide you with an (initial) answer to this question soon!
I’m a student on the 1+3 doctoral programme in neuroscience, co-supervised by Andrew Saxe and Adam Packer. My project involves devising and testing experimental predictions about network dynamics across the visual cortical hierarchy under different theories, in response to activity perturbations, during sensory experience and throughout the course of perceptual learning. Previously, I studied neuroscience at Bristol University and spent time in industry at Roche, where I studied the development of excitatory-inhibitory balance in human stem cell derived neurons.