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Neuroscience 논문 리뷰
Neuroscience 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
2,140개의 결과
Learning quadratic receptive fields from neural responses to natural stimuli
Kanaka Rajan, Olivier Marre 외 1명
arXiv (Cornell University)
|
2012
|
36 회 인용
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy
Diyuan Lu, Jochen Triesch
arXiv (Cornell University)
|
2019
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36 회 인용
A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference
Keith Levin, Avanti Athreya 외 4명
arXiv (Cornell University)
|
2017
|
35 회 인용
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi, Aditya Rawal 외 2명
arXiv (Cornell University)
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2020
|
35 회 인용
Deep reconstruction of strange attractors from time series
William Gilpin
arXiv (Cornell University)
|
2020
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35 회 인용
Dendritic error backpropagation in deep cortical microcircuits
João Sacramento, Rui Ponte Costa 외 2명
arXiv (Cornell University)
|
2017
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35 회 인용
Mechanisms underlying the response of mouse cortical networks to optogenetic manipulation
Alexandre Mahrach, Guang Chen 외 3명
arXiv (Cornell University)
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2019
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35 회 인용
Modeling networks of spiking neurons as interacting processes with memory of variable length
Antonio Galves, Eva Löcherbach
arXiv (Cornell University)
|
2015
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35 회 인용
The evolution of lossy compression
Sarah Marzen, Simon DeDeo
arXiv (Cornell University)
|
2015
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35 회 인용
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma, Shagun Sodhani 외 4명
arXiv (Cornell University)
|
2022
|
35 회 인용
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