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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
Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors
Yong Cao, Debprakash Patnaik 외 5명
ArXiv.org
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2009
|
4 회 인용
Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline
Dongrui Wu, Ruimin Peng 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline
Dongrui Wu, Xue Jiang 외 4명
arXiv (Cornell University)
|
2020
|
4 회 인용
TUMTraf V2X Cooperative Perception Dataset
Walter Zimmer, Gerhard Arya Wardana 외 4명
arXiv (Cornell University)
|
2024
|
4 회 인용
Two-compartment neuronal spiking model expressing brain-state specific apical-amplification, -isolation and -drive regimes
Elena Pastorelli, Alper Yegenoglu 외 6명
arXiv (Cornell University)
|
2023
|
4 회 인용
Two-dimensional mutual synchronization in spin Hall nano-oscillator arrays
Mohammad Zahedinejad, Ahmad A. Awad 외 6명
arXiv (Cornell University)
|
2018
|
4 회 인용
Two step multiple comparisons procedures for positively dependent data with application to detecting differences in human brain network topologies
Djalel Eddine Meskaldji, Patric Hagmann 외 2명
arXiv (Cornell University)
|
2013
|
4 회 인용
Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning
Pankaj Pandey, Raunak Swarnkar 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Understanding language-elicited EEG data by predicting it from a fine-tuned language model
Dan Schwartz, Tom M. Mitchell
arXiv (Cornell University)
|
2019
|
4 회 인용
Understanding understanding: a renormalization group inspired model of (artificial) intelligence
Antal Jakovác, D. Berenyi 외 1명
arXiv (Cornell University)
|
2020
|
4 회 인용
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