» Authors » Zenas C Chao

Zenas C Chao

Explore the profile of Zenas C Chao including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 29
Citations 614
Followers 0
Related Specialties
Top 10 Co-Authors
Published In
Affiliations
Soon will be listed here.
Recent Articles
11.
Chao Z, Sawada M, Isa T, Nishimura Y
Cereb Cortex . 2018 Jul; 29(7):3059-3073. PMID: 30060105
After spinal cord injury (SCI), the motor-related cortical areas can be a potential substrate for functional recovery in addition to the spinal cord. However, a dynamic description of how motor...
12.
Chao Z, Nagasaka Y, Fujii N
Elife . 2015 Sep; 4. PMID: 26416139
Context is information linked to a situation that can guide behavior. In the brain, context is encoded by sensory processing and can later be retrieved from memory. How context is...
13.
Fukushima M, Chao Z, Fujii N
Curr Opin Neurobiol . 2015 Apr; 32:124-31. PMID: 25889531
Our brain is organized in a modular structure. Information in different modalities is processed within distinct cortical areas. However, individual cortical areas cannot enable complex cognitive functions without interacting with...
14.
Komatsu M, Namikawa J, Chao Z, Nagasaka Y, Fujii N, Nakamura K, et al.
Neurosci Res . 2014 Feb; 81-82:69-77. PMID: 24530886
Many previous studies have proposed methods for quantifying neuronal interactions. However, these methods evaluated the interactions between recorded signals in an isolated network. In this study, we present a novel...
15.
Yanagawa T, Chao Z, Hasegawa N, Fujii N
PLoS One . 2013 Nov; 8(11):e80845. PMID: 24260491
Consciousness is an emergent property of the complex brain network. In order to understand how consciousness is constructed, neural interactions within this network must be elucidated. Previous studies have shown...
16.
Zhao Q, Caiafa C, Mandic D, Chao Z, Nagasaka Y, Fujii N, et al.
IEEE Trans Pattern Anal Mach Intell . 2013 May; 35(7):1660-73. PMID: 23681994
A new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to predict a tensor (multiway array) Y from a tensor X...
17.
Nagasaka Y, Chao Z, Hasegawa N, Notoya T, Fujii N
Sci Rep . 2013 Jan; 3:1151. PMID: 23359601
Humans show spontaneous synchronization of movements during social interactions; this coordination has been shown to facilitate smooth communication. Although human studies exploring spontaneous synchronization are increasing in number, little is...
18.
Shimoda K, Nagasaka Y, Chao Z, Fujii N
J Neural Eng . 2012 May; 9(3):036015. PMID: 22627008
Brain–machine interface (BMI) technology captures brain signals to enable control of prosthetic or communication devices with the goal of assisting patients who have limited or no ability to perform voluntary...
19.
van Gerven M, Chao Z, Heskes T
J Neural Eng . 2012 Mar; 9(2):026017. PMID: 22414639
It has recently been shown that robust decoding of motor output from electrocorticogram signals in monkeys over prolonged periods of time has become feasible (Chao et al 2010 Front. Neuroeng....
20.
Chao Z, Nagasaka Y, Fujii N
Front Neuroeng . 2010 Apr; 3:3. PMID: 20407639
Brain-machine interfaces (BMIs) employ the electrical activity generated by cortical neurons directly for controlling external devices and have been conceived as a means for restoring human cognitive or sensory-motor functions....