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The Freedman Laboratory conducts research at the intersection of Computational Cognitive and Visual Neuroscience, focusing on neuronal computations related to vision and cognition. Central to their research is understanding how the brain utilizes visual information to guide decision-making and learning. The lab employs sophisticated neurophysiological techniques to monitor neuronal activity during behavioral tasks that necessitate visual recognition and decision-making. Their work aims to identify key computational mechanisms leveraged by the brain and apply advanced quantitative approaches, including neural network modeling and machine learning. The laboratory actively seeks talented and enthusiastic individuals, including postdoctoral fellows, graduate students, research technicians, and undergraduates, to join their innovative research efforts. They examine how the brain categorizes visual stimuli and how visual inputs are used flexibly to inform decisions, as well as investigate the impact of learning on neuronal encoding and memory storage through real-time monitoring of neuronal ensembles.
Department of Philosophy