Leigh R. Hochberg
Cognitive Neuroscience · 2006–2023
A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 91 citations into it; #4,050 of 10,852 by trust here, #894 by citations
- Cellular and Molecular Neuroscience — 62 citations into it; #974 of 2,998 by trust here, #250 by citations
- Artificial Intelligence — 28 citations into it
- Biomedical Engineering — 22 citations into it; #3,598 of 10,734 by trust here, #1,618 by citations
- Signal Processing — 14 citations into it
- Natural Language Processing — 7 citations into it
- Model Architectures — 5 citations into it
Whom Leigh R. Hochberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- John P. Donoghue
- Diederik P. Kingma
- Lawrence R. Rabiner
- Geoffrey E. Hinton
- Sung-Phil Kim
- Alin Olimpiu Albu-Schäffer
- Yoshua Bengio
- Bradley Efron
- Jimmy Ba
Who trusts Leigh R. Hochberg overall
- Jonathan R. Wolpaw
- John P. Donoghue
- Niels Birbaumer
- E. Musk
- Han Yuan
- T. Mulder
- Surjo Raphael Soekadar
- Mikhail A. Lebedev
- Reza Abiri
- Karunesh Ganguly
Papers from Leigh R. Hochberg's perspective
Ordered by how strongly the researchers Leigh R. Hochberg trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Reach and grasp by people with tetraplegia using a neurally controlled robotic arm (2012) — 2,559 citations
- Neuronal ensemble control of prosthetic devices by a human with tetraplegia (2006) — 3,423 citations
- Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia (2008) — 423 citations
- Modified Neuropixels probes for recording human neurophysiology in the operating room (2023)
- High-performance brain-to-text communication via handwriting (2021) — 871 citations
- Inferring single-trial neural population dynamics using sequential auto-encoders (2017) — 800 citations
- High performance communication by people with paralysis using an intracortical brain-computer interface (2017) — 494 citations
- Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface (2015) — 336 citations