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David M Zoltowski

Showing results (1-10 of 7) with videos related to

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Advances in Neural Information Processing Systems|June 28, 2019
Scaling the Poisson GLM to massive neural datasets through polynomial approximationsDavid M Zoltowski, Jonathan W Pillow
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A graph theoretic approach to dynamic functional connectivity tracking and network state identificationDavid M Zoltowski, Edward M Bernat, Selin Aviyente
IEEE Transactions on Bio-Medical Engineering|April 20, 2016
A Tensor Decomposition-Based Approach for Detecting Dynamic Network States From EEGArash Golibagh Mahyari, David M Zoltowski, Edward M Bernat, et al.
Biorxiv : the Preprint Server for Biology|August 2, 2024
Structured flexibility in recurrent neural networks via neuromodulationJulia C Costacurta, Shaunak Bhandarkar, David M Zoltowski, et al.
Current Opinion in Neurobiology|December 18, 2020
Modeling statistical dependencies in multi-region spike train dataStephen L Keeley, David M Zoltowski, Mikio C Aoi, et al.
Neuron|May 28, 2019
Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-MakingDavid M Zoltowski, Kenneth W Latimer, Jacob L Yates, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activityChristopher Versteeg, Jonathan D McCart, Mitchell Ostrow, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Advances in Neural Information Processing Systems|June 28, 2019
Scaling the Poisson GLM to massive neural datasets through polynomial approximationsDavid M Zoltowski, Jonathan W Pillow
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A graph theoretic approach to dynamic functional connectivity tracking and network state identificationDavid M Zoltowski, Edward M Bernat, Selin Aviyente
IEEE Transactions on Bio-Medical Engineering|April 20, 2016
A Tensor Decomposition-Based Approach for Detecting Dynamic Network States From EEGArash Golibagh Mahyari, David M Zoltowski, Edward M Bernat, et al.
Biorxiv : the Preprint Server for Biology|August 2, 2024
Structured flexibility in recurrent neural networks via neuromodulationJulia C Costacurta, Shaunak Bhandarkar, David M Zoltowski, et al.
Current Opinion in Neurobiology|December 18, 2020
Modeling statistical dependencies in multi-region spike train dataStephen L Keeley, David M Zoltowski, Mikio C Aoi, et al.
Neuron|May 28, 2019
Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-MakingDavid M Zoltowski, Kenneth W Latimer, Jacob L Yates, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activityChristopher Versteeg, Jonathan D McCart, Mitchell Ostrow, et al.
Pageof 1