Dezhong Yao
Cognitive Neuroscience · with Li · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 30 citations into it
- Cellular and Molecular Neuroscience — 11 citations into it
Whom Dezhong Yao trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaorong Gao (in Cognitive Neuroscience)
- Shangkai Gao (in Cognitive Neuroscience)
- Bo Hong (in Cognitive Neuroscience)
Papers from Dezhong Yao's perspective
Ordered by how strongly the researchers Dezhong Yao trusts endorse each paper. Same corpus, a different order for every researcher.
- Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
- Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces (IEEE Transactions on Biomedical Engineering)
- An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method (Journal of Neural Engineering)
- A High-Speed Brain Speller using steady-State Visual evoked potentials (International Journal of Neural Systems)
- Visual and Auditory Brain–Computer Interfaces (IEEE Transactions on Biomedical Engineering)
- Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs (IEEE Transactions on Biomedical Engineering)
- Steady-state visually evoked potentials: focus on essential paradigms and future perspectives. (Progress in neurobiology)
- Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (IEEE Transactions on Autonomous Mental Development)
- DEAP: A Database for Emotion Analysis ;Using Physiological Signals (IEEE Transactions on Affective Computing)
- Identifying Stable Patterns over Time for Emotion Recognition from EEG (IEEE Transactions on Affective Computing)
Their papers
- EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations (2019) — 333 citations
- Firing regulation of fast-spiking interneurons by autaptic inhibition (2016) — 98 citations
- A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials (2015) — 352 citations