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1
Statistical Mechanics of Bayesian Inference and Learning in Neural Networks.
Statistical Mechanics of Bayesian Inference and Learning in Neural Networks.
Zavatone-Veth, Jacob Andreas.Physics. | Harvard University. | 2024
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2
Inference of Representations Through Structure: Revisiting Marr's Tri-Level Hypothesis of Neuroscience- [electronic resource]
Inference of Representations Through Structure: Revisiting Marr's Tri-Level Hypothesis of Neuroscience- [electronic resource]
Di Tullio, Ronald W.Neuroscience. | University of Pennsylvania. | 2023
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3
Machine Learning as Tool and Theory for Computational Neuroscience.
Machine Learning as Tool and Theory for Computational Neuroscience.
Benjamin, Ari.Bioengineering. | University of Pennsylvania. | 2022
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4
Building Theories of Neural Circuits with Machine Learning.
Building Theories of Neural Circuits with Machine Learning.
Bittner, Sean Robert.Neurobiology and Behavior. | Columbia University. | 2021
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