Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Neuroscience
Neuroscience 논문 리뷰
Neuroscience 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
2,181개의 결과
SMU-Net : Style matching U-Net for brain tumor segmentation with missing modalities
Reza Azad, Nika Khosravi 외 1명
arXiv (Cornell University)
|
2022
|
20 회 인용
The modularity of action and perception revisited using control theory and active inference
Manuel Baltieri, Christopher L. Buckley
arXiv (Cornell University)
|
2018
|
20 회 인용
Touch and Go: Learning from Human-Collected Vision and Touch
Fengyu Yang, Chenyang Ma 외 4명
arXiv (Cornell University)
|
2022
|
20 회 인용
Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors
Yazhan Zhang, Weihao Yuan 외 2명
arXiv (Cornell University)
|
2019
|
20 회 인용
Where is the mind within the brain? Transient selection of subnetworks by metabotropic receptors and G protein-gated ion channels
Danko Nikolić
arXiv (Cornell University)
|
2022
|
20 회 인용
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
William Lotter, Gabriel Kreiman 외 1명
arXiv (Cornell University)
|
2018
|
19 회 인용
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates
Justus T. C. Schwabedal, John Snyder 외 3명
arXiv (Cornell University)
|
2018
|
19 회 인용
Deep Convolutional Networks as Models of Generalization and Blending Within Visual Creativity
Graeme McCaig, Steve DiPaola 외 1명
arXiv (Cornell University)
|
2016
|
19 회 인용
Early Inference in Energy-Based Models Approximates Back-Propagation
Yoshua Bengio, Asja Fischer
arXiv (Cornell University)
|
2015
|
19 회 인용
Functional connectivity ensemble method to enhance BCI performance (FUCONE)
Marie‐Constance Corsi, Sylvain Chevallier 외 2명
arXiv (Cornell University)
|
2021
|
19 회 인용
31
32
33
34
35
