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Kristofer E Bouchard

Showing results (21-30 of 42) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortexKristofer E Bouchard, Alejandro F Bujan, Edward F Chang, et al.
Plos One|December 14, 2019
Robust, automated sleep scoring by a compact neural network with distributional shift correctionZeke Barger, Charles G Frye, Danqian Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Laminar origin of evoked ECoG high-gamma activityMaximilian E Dougherty, Anh P Q Nguyen, Vyassa L Baratham, et al.
Journal of Neural Engineering|September 1, 2016
Spatial resolution dependence on spectral frequency in human speech cortex electrocorticographyLeah Muller, Liberty S Hamilton, Erik Edwards, et al.
Journal of Neurophysiology|November 6, 2024
The geometry of correlated variability leads to highly suboptimal discriminative sensory codingJesse A Livezey, Pratik S Sachdeva, Maximilian E Dougherty, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|March 25, 2022
Columnar Localization and Laminar Origin of Cortical Surface Electrical PotentialsVyassa L Baratham, Maximilian E Dougherty, John Hermiz, et al.
Neural Computation|September 8, 2021
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network LossesCharles G Frye, James Simon, Neha S Wadia, et al.
Journal of Computational Neuroscience|April 1, 2026
Resolving non-identifiability mitigates systematic errors in simultaneous models of neural tuning and functional couplingPratik Sachdeva, Ji Hyun Bak, Jesse Livezey, et al.
Biorxiv : the Preprint Server for Biology|July 28, 2023
Resolving Non-identifiability Mitigates Bias in Models of Neural Tuning and Functional CouplingPratik Sachdeva, Ji Hyun Bak, Jesse Livezey, et al.
Journal of Neuroscience Methods|April 27, 2021
Improved inference in coupling, encoding, and decoding models and its consequence for neuroscientific interpretationPratik S Sachdeva, Jesse A Livezey, Maximilian E Dougherty, et al.
Pageof 5

Showing results (21-30 of 42) with videos related to

Sort By:
Pageof 5
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortexKristofer E Bouchard, Alejandro F Bujan, Edward F Chang, et al.
Plos One|December 14, 2019
Robust, automated sleep scoring by a compact neural network with distributional shift correctionZeke Barger, Charles G Frye, Danqian Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Laminar origin of evoked ECoG high-gamma activityMaximilian E Dougherty, Anh P Q Nguyen, Vyassa L Baratham, et al.
Journal of Neural Engineering|September 1, 2016
Spatial resolution dependence on spectral frequency in human speech cortex electrocorticographyLeah Muller, Liberty S Hamilton, Erik Edwards, et al.
Journal of Neurophysiology|November 6, 2024
The geometry of correlated variability leads to highly suboptimal discriminative sensory codingJesse A Livezey, Pratik S Sachdeva, Maximilian E Dougherty, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|March 25, 2022
Columnar Localization and Laminar Origin of Cortical Surface Electrical PotentialsVyassa L Baratham, Maximilian E Dougherty, John Hermiz, et al.
Neural Computation|September 8, 2021
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network LossesCharles G Frye, James Simon, Neha S Wadia, et al.
Journal of Computational Neuroscience|April 1, 2026
Resolving non-identifiability mitigates systematic errors in simultaneous models of neural tuning and functional couplingPratik Sachdeva, Ji Hyun Bak, Jesse Livezey, et al.
Biorxiv : the Preprint Server for Biology|July 28, 2023
Resolving Non-identifiability Mitigates Bias in Models of Neural Tuning and Functional CouplingPratik Sachdeva, Ji Hyun Bak, Jesse Livezey, et al.
Journal of Neuroscience Methods|April 27, 2021
Improved inference in coupling, encoding, and decoding models and its consequence for neuroscientific interpretationPratik S Sachdeva, Jesse A Livezey, Maximilian E Dougherty, et al.
Pageof 5