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Neurons, behavior, data analysis, and theory

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

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Neurons, Behavior, Data Analysis, and Theory|April 21, 2020
Performance of normative and approximate evidence accumulation on the dynamic clicks taskAdrian E Radillo, Alan Veliz-Cuba, Krešimir Josić, et al.
Neurons, Behavior, Data Analysis, and Theory|October 25, 2022
How do we generalize?Jessica Elizabeth Taylor, Aurelio Cortese, Helen C Barron, et al.
Neurons, Behavior, Data Analysis, and Theory|March 1, 2021
Application of the hierarchical bootstrap to multi-level data in neuroscienceVarun Saravanan, Gordon J Berman, Samuel J Sober
Neurons, Behavior, Data Analysis, and Theory|April 3, 2023
On the Subspace Invariance of Population ResponsesElaine Tring, Dario L Ringach
Neurons, Behavior, Data Analysis, and Theory|May 3, 2024
Expressive architectures enhance interpretability of dynamics-based neural population modelsAndrew R Sedler, Christopher Versteeg, Chethan Pandarinath
Neurons, Behavior, Data Analysis, and Theory|September 10, 2021
Sensitivity and specificity of a Bayesian single trial analysis for time varying neural signalsJeff T Mohl, Valeria C Caruso, Surya T Tokdar, et al.
Neurons, Behavior, Data Analysis, and Theory|October 9, 2019
Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable modelsMatthew R Whiteway, Karolina Socha, Vincent Bonin, et al.
Neurons, Behavior, Data Analysis, and Theory|May 15, 2023
Golden rhythms as a theoretical framework for cross-frequency organizationMark A Kramer
Neurons, Behavior, Data Analysis, and Theory|June 24, 2021
Predicting Goal-directed Attention Control Using Inverse-Reinforcement LearningGregory J Zelinsky, Yupei Chen, Seoyoung Ahn, et al.
Neurons, Behavior, Data Analysis, and Theory|August 22, 2025
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigmsAri Blau, Evan S Schaffer, Neeli Mishra, et al.
Pageof 1

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

Sort By:
Pageof 1
Neurons, Behavior, Data Analysis, and Theory|April 21, 2020
Performance of normative and approximate evidence accumulation on the dynamic clicks taskAdrian E Radillo, Alan Veliz-Cuba, Krešimir Josić, et al.
Neurons, Behavior, Data Analysis, and Theory|October 25, 2022
How do we generalize?Jessica Elizabeth Taylor, Aurelio Cortese, Helen C Barron, et al.
Neurons, Behavior, Data Analysis, and Theory|March 1, 2021
Application of the hierarchical bootstrap to multi-level data in neuroscienceVarun Saravanan, Gordon J Berman, Samuel J Sober
Neurons, Behavior, Data Analysis, and Theory|April 3, 2023
On the Subspace Invariance of Population ResponsesElaine Tring, Dario L Ringach
Neurons, Behavior, Data Analysis, and Theory|May 3, 2024
Expressive architectures enhance interpretability of dynamics-based neural population modelsAndrew R Sedler, Christopher Versteeg, Chethan Pandarinath
Neurons, Behavior, Data Analysis, and Theory|September 10, 2021
Sensitivity and specificity of a Bayesian single trial analysis for time varying neural signalsJeff T Mohl, Valeria C Caruso, Surya T Tokdar, et al.
Neurons, Behavior, Data Analysis, and Theory|October 9, 2019
Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable modelsMatthew R Whiteway, Karolina Socha, Vincent Bonin, et al.
Neurons, Behavior, Data Analysis, and Theory|May 15, 2023
Golden rhythms as a theoretical framework for cross-frequency organizationMark A Kramer
Neurons, Behavior, Data Analysis, and Theory|June 24, 2021
Predicting Goal-directed Attention Control Using Inverse-Reinforcement LearningGregory J Zelinsky, Yupei Chen, Seoyoung Ahn, et al.
Neurons, Behavior, Data Analysis, and Theory|August 22, 2025
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigmsAri Blau, Evan S Schaffer, Neeli Mishra, et al.
Pageof 1