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Neuroscience
Neuroscience 논문 리뷰
Neuroscience 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
2,181개의 결과
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
Julian Rossbroich, Friedemann Zenke
arXiv (Cornell University)
|
2023
|
4 회 인용
Dissecting the Phase Response of a Model Bursting Neuron
William Erik Sherwood, John Guckenheimer
ArXiv.org
|
2009
|
4 회 인용
Dissimilarity learning via Siamese network predicts brain imaging data
Aakash Agrawal
arXiv (Cornell University)
|
2019
|
4 회 인용
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments
Tal Golan, Wenxuan Guo 외 2명
arXiv (Cornell University)
|
2022
|
4 회 인용
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
Grace W. Lindsay, Josh Merel 외 2명
arXiv (Cornell University)
|
2021
|
4 회 인용
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach
Sourojit Ghosh, Pranav Narayanan Venkit 외 3명
arXiv (Cornell University)
|
2024
|
4 회 인용
Do we understand the emergent dynamics of grid cell activity?
Yoram Burak, Ila Fiete
ArXiv.org
|
2007
|
4 회 인용
Does brain activity stem from high-dimensional chaotic dynamics? Evidence from the human electroencephalogram, cat cerebral cortex and artificial neuronal networks
Sami El‐Boustani, Alain Destexhe
ArXiv.org
|
2009
|
4 회 인용
Dynamical independence: discovering emergent macroscopic processes in complex dynamical systems
L. D. Barnett, Anil K. Seth
arXiv (Cornell University)
|
2021
|
4 회 인용
Dynamical properties and mechanisms of metastability: a perspective in neuroscience
Kalel L. Rossi, Roberto C. Budzinski 외 4명
arXiv (Cornell University)
|
2023
|
4 회 인용
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