Search Results for author: Byron M. Yu

Found 6 papers, 0 papers with code

Adaptive stimulus selection for optimizing neural population responses

no code implementations NeurIPS 2017 Benjamin Cowley, Ryan Williamson, Katerina Clemens, Matthew Smith, Byron M. Yu

When recording from a population of neurons, it is usually not possible to find a single stimulus that maximizes the firing rates of all neurons.

Deterministic Symmetric Positive Semidefinite Matrix Completion

no code implementations NeurIPS 2014 William E. Bishop, Byron M. Yu

We consider the problem of recovering a symmetric, positive semidefinite (SPSD) matrix from a subset of its entries, possibly corrupted by noise.

Matrix Completion

Extracting Latent Structure From Multiple Interacting Neural Populations

no code implementations NeurIPS 2014 Joao Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu

Developments in neural recording technology are rapidly enabling the recording of populations of neurons in multiple brain areas simultaneously, as well as the identification of the types of neurons being recorded (e. g., excitatory vs. inhibitory).

Dynamical segmentation of single trials from population neural data

no code implementations NeurIPS 2011 Biljana Petreska, Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani

Simultaneous recordings of many neurons embedded within a recurrently-connected cortical network may provide concurrent views into the dynamical processes of that network, and thus its computational function.

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