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Using Artificial-Intelligence-Driven Deep Neural Networks to Uncover Principles of Brain Representation and Organization
Human behavior is founded on the ability to identify meaningful entities in complex noisy data streams that constantly bombard the senses. For example, in vision, retinal input is transformed into rich object-based scenes; ...
Networks Thinking Themselves
Bassett's group studies biological, physical, and social systems by using and developing tools from network science and complex systems theory. Our broad goal is to isolate problems at the intersection of basic science, ...
Revealing nonlinear computation by analyzing choices
The sensory data about most natural task-relevant variables is confounded by task-irrelevant sensory variations, called nuisance variables. To be useful, the sensory signals that encode the relevant variables must be ...
Finding Language (and Language Learning) in the Brain
Understanding a native language is near effortless for fluent adults. But learning a new language takes dedication and hard word. In this talk, I will describe an experiment during which adult participants learned a new ...