본문

  1. Home
  4. 학위논문
4 Results:SS:THEORETICALNEUROSCIENCE 0.156 sec.
RSS 
다국어입력
 상세검색
 신착검색
선택출력 선택엑셀내보내기
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
프린트
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
프린트
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
프린트
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
프린트
처음1마지막