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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
Maximally informative dimensions: Analyzing neural responses to natural signals
Tatyana O. Sharpee, Nicole C. Rust 외 1명
ArXiv.org
|
2002
|
13 회 인용
Measuring the dynamics of neural responses in primary auditory cortex
Didier A. Depireux, Jonathan Z. Simon 외 1명
ArXiv.org
|
1998
|
13 회 인용
Memorization in a neural network with adjustable transfer function and conditional gating
Gabriele Scheler
arXiv (Cornell University)
|
2004
|
13 회 인용
Metastability for systems of interacting neurons
Eva Löcherbach, Pierre Monmarché
arXiv (Cornell University)
|
2020
|
13 회 인용
Multivariate information measures: an experimentalist's perspective
Nicholas M. Timme, Wesley T. Alford 외 2명
arXiv (Cornell University)
|
2011
|
13 회 인용
On Invariance and Selectivity in Representation Learning
Fabio Anselmi, Lorenzo Rosasco 외 1명
arXiv (Cornell University)
|
2015
|
13 회 인용
Open and free EEG datasets for epilepsy diagnosis
Palak Handa, Monika Mathur 외 1명
arXiv (Cornell University)
|
2021
|
13 회 인용
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Eshed Ohn-Bar, Kris Kitani 외 1명
arXiv (Cornell University)
|
2018
|
13 회 인용
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning.
Daniel Martínez, Ognjen Rudovic 외 1명
arXiv (Cornell University)
|
2017
|
13 회 인용
RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces.
Guangyi Zhang, Sadegh Etemad
arXiv (Cornell University)
|
2020
|
13 회 인용
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