Ivan Volosyak

Cognitive Neuroscience · 2007–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 32 citations into it; #3,884 of 10,852 by trust here, #5,396 by citations
• Cellular and Molecular Neuroscience — 19 citations into it; #932 of 2,998 by trust here, #1,779 by citations
• Electrical and Electronic Engineering — 12 citations into it

Whom Ivan Volosyak trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jonathan R. Wolpaw
2. Gernot R. Müller-Putz
3. Steven Lemm
4. Keith J. Worsley

Who trusts Ivan Volosyak overall

1. Xiaorong Gao
2. Xiaogang Chen
3. Brendan Z. Allison
4. Shangkai Gao
5. Masaki Nakanishi
6. Guangyu Bin
7. Yuanqing Li
8. Yu Zhang

Papers from Ivan Volosyak's perspective

Ordered by how strongly the researchers Ivan Volosyak trusts endorse each paper. Same corpus, a different order for every researcher.

1. Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
2. Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
3. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
4. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (Brain research. Cognitive brain research)
5. Brain–computer interface systems: progress and prospects (Expert Review of Medical Devices)
6. A P300-based brain-computer interface: initial tests by ALS patients. (Clinical Neurophysiology)
7. Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena (Experimental Brain Research)
8. Towards an independent brain-computer interface using steady state visual evoked potentials. (Clinical Neurophysiology)
9. How many people are able to operate an EEG-based brain-computer interface (BCI)? (IEEE transactions on neural systems and rehabilitation engineering)
10. How many people are able to control a P300-based brain-computer interface (BCI)? (Neuroscience Letters)

Their papers

• Brain–Computer Interface Spellers: A Review (2018) — 358 citations
• BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI? (2010) — 372 citations
• Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces (2007) — 570 citations