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Bingni W Brunton

Showing results (1-10 of 56) with videos related to

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Current Opinion in Neurobiology|July 21, 2019
Data-driven models in human neuroscience and neuroengineeringBingni W Brunton, Michael Beyeler
Nature|November 9, 2022
Flies catch wind of where smells come fromFloris van Breugel, Bingni W Brunton
Biorxiv : the Preprint Server for Biology|February 20, 2025
TiDHy: Timescale Demixing via Hypernetworks to learn simultaneous dynamics from mixed observationsElliott T T Abe, Bingni W Brunton
Journal of the Royal Society, Interface|May 12, 2026
TiDHy: timescale demixing via hypernetworks to learn simultaneous dynamics from mixed observationsElliott Taylor Tsuyoshi Abe, Bingni W Brunton
Physical Review. E|November 20, 2020
Inferring causal networks of dynamical systems through transient dynamics and perturbationGeorge Stepaniants, Bingni W Brunton, J Nathan Kutz
Nature Methods|April 20, 2021
The DANNCE of the rats: a new toolkit for 3D tracking of animal behaviorPierre Karashchuk, John C Tuthill, Bingni W Brunton
Mbio|June 6, 2013
Imaging the transport dynamics of single alphaherpesvirus particles in intact peripheral nervous system explants from infected miceAndrea E Granstedt, Bingni W Brunton, Lynn W Enquist
Science (New York, N.Y.)|April 6, 2013
Rats and humans can optimally accumulate evidence for decision-makingBingni W Brunton, Matthew M Botvinick, Carlos D Brody
Plos Computational Biology|August 11, 2021
Wing structure and neural encoding jointly determine sensing strategies in insect flightAlison I Weber, Thomas L Daniel, Bingni W Brunton
IEEE Access : Practical Innovations, Open Solutions|February 24, 2021
Numerical differentiation of noisy data: A unifying multi-objective optimization frameworkFloris van Breugel, J Nathan Kutz, Bingni W Brunton
Pageof 6

Showing results (1-10 of 56) with videos related to

Sort By:
Pageof 6
Current Opinion in Neurobiology|July 21, 2019
Data-driven models in human neuroscience and neuroengineeringBingni W Brunton, Michael Beyeler
Nature|November 9, 2022
Flies catch wind of where smells come fromFloris van Breugel, Bingni W Brunton
Biorxiv : the Preprint Server for Biology|February 20, 2025
TiDHy: Timescale Demixing via Hypernetworks to learn simultaneous dynamics from mixed observationsElliott T T Abe, Bingni W Brunton
Journal of the Royal Society, Interface|May 12, 2026
TiDHy: timescale demixing via hypernetworks to learn simultaneous dynamics from mixed observationsElliott Taylor Tsuyoshi Abe, Bingni W Brunton
Physical Review. E|November 20, 2020
Inferring causal networks of dynamical systems through transient dynamics and perturbationGeorge Stepaniants, Bingni W Brunton, J Nathan Kutz
Nature Methods|April 20, 2021
The DANNCE of the rats: a new toolkit for 3D tracking of animal behaviorPierre Karashchuk, John C Tuthill, Bingni W Brunton
Mbio|June 6, 2013
Imaging the transport dynamics of single alphaherpesvirus particles in intact peripheral nervous system explants from infected miceAndrea E Granstedt, Bingni W Brunton, Lynn W Enquist
Science (New York, N.Y.)|April 6, 2013
Rats and humans can optimally accumulate evidence for decision-makingBingni W Brunton, Matthew M Botvinick, Carlos D Brody
Plos Computational Biology|August 11, 2021
Wing structure and neural encoding jointly determine sensing strategies in insect flightAlison I Weber, Thomas L Daniel, Bingni W Brunton
IEEE Access : Practical Innovations, Open Solutions|February 24, 2021
Numerical differentiation of noisy data: A unifying multi-objective optimization frameworkFloris van Breugel, J Nathan Kutz, Bingni W Brunton
Pageof 6