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Adrian Seminar - "Probing computations in neural circuits using single-neuron perturbations"

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If you have a question about this talk, please contact Lyn Dakin.

A major goal in neuroscience is to understand how local neuronal populations transform the information they receive as inputs. Toward this goal, we have developed a new method in which we use single-neuron perturbations combined with large-scale, cellular-resolution population activity measurements to map the causal, functional connectivity among neurons with characterized tuning. We call this method influence mapping – a measure of how one neuron’s spiking affects spiking in its neighbors. We have discovered a like-suppresses-like motif in layer 2/3 of mouse visual cortex that reduces redundancy in population activity and may assist inference of the features underlying sensory input. I will also outline how we are applying influence mapping to the study of computations for flexible sensorimotor decision-making. .

This talk is part of the Adrian Seminars in Neuroscience series.

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