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Pratik S Sachdeva

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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|January 18, 2020
Sparse, Predictive, and Interpretable Functional Connectomics with UoI<sub>Lasso</sub>Pratik S Sachdeva, Sharmodeep Bhattacharyya, Kristofer E Bouchard
Neural Computation|May 21, 2020
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common NoisePratik S Sachdeva, Jesse A Livezey, Michael R DeWeese
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.
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 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
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
Sparse, Predictive, and Interpretable Functional Connectomics with UoI<sub>Lasso</sub>Pratik S Sachdeva, Sharmodeep Bhattacharyya, Kristofer E Bouchard
Neural Computation|May 21, 2020
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common NoisePratik S Sachdeva, Jesse A Livezey, Michael R DeWeese
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.
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 1