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Flexible information routing in neural populations through stochastic comodulation

Caroline Haimerl, Cristina Savin, Eero Simoncelli

Neural Information Processing Systems

Humans and animals are capable of flexibly switching between a multitude of tasks,eachrequiringrapid,sensory-informed decisionmaking. Incomingstimuli are processed by ahierarchyof neural circuits consisting of millions of neurons withdiversefeatureselectivity.



c7c3e78e3c9d26cc1158a8735d548eaa-Paper.pdf

Neural Information Processing Systems

Perception, in theoretical neuroscience, has been modeled as the encoding of external stimuli into internal signals, which are then decoded.


Quantifying how much sensory information in a neural code is relevant for behavior

Giuseppe Pica, Eugenio Piasini, Houman Safaai, Caroline Runyan, Christopher Harvey, Mathew Diamond, Christoph Kayser, Tommaso Fellin, Stefano Panzeri

Neural Information Processing Systems

Determining how much of the sensory information carried by a neural code contributes to behavioral performance is key to understand sensory function and neural information flow. However, there are as yet no analytical tools to compute this information that lies at the intersection between sensory coding and behavioral readout.