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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
2,181개의 결과
Phase response curve measurements based on perturbations or noise stimuli for conductance-based neuron models.
Janina Hesse, Susanne Schreiber
arXiv (Cornell University)
|
2019
|
8 회 인용
Pinwheel stability, pattern selection and the geometry of visual space
Michael Schnabel, Matthias Kaschube 외 1명
ArXiv.org
|
2008
|
8 회 인용
PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition
Rushuang Zhou, Zhiguo Zhang 외 8명
arXiv (Cornell University)
|
2022
|
8 회 인용
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
Paolo Muratore, Sina Tafazoli 외 3명
arXiv (Cornell University)
|
2022
|
8 회 인용
Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG
Abhay Koushik, Judith Amores 외 1명
arXiv (Cornell University)
|
2018
|
8 회 인용
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
Daniel Kramer, Philine Lou Bommer 외 3명
arXiv (Cornell University)
|
2021
|
8 회 인용
Reliability and comparability of human brain structural covariance networks
Jona Carmon, Jil Heege 외 6명
arXiv (Cornell University)
|
2019
|
8 회 인용
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
Felipe Gerhard, Wulfram Gerstner
arXiv (Cornell University)
|
2010
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8 회 인용
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
Qi Yan, Yajing Zheng 외 7명
arXiv (Cornell University)
|
2018
|
8 회 인용
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen, Jiaxin Qing 외 3명
arXiv (Cornell University)
|
2022
|
8 회 인용
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