Search Results for author: John M. Pearson

Found 2 papers, 2 papers with code

Online neural connectivity estimation with ensemble stimulation

1 code implementation • NeurIPS 2020 • Anne Draelos, Eva A. Naumann, John M. Pearson

One of the primary goals of systems neuroscience is to relate the structure of neural circuits to their function, yet patterns of connectivity are difficult to establish when recording from large populations in behaving organisms.

Bayesian Inference Connectivity Estimation

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Neuron's Eye View: Inferring Features of Complex Stimuli from Neural Responses

1 code implementation • 4 Dec 2015 • Xin, Chen, Jeffrey M Beck, John M. Pearson

Here, we present a Bayesian model for exploratory data analysis that is capable of automatically identifying the features present in unstructured stimuli based solely on neuronal responses.

Bayesian Inference

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Code

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