Closed-loop neuroscience and neuroengineering
نویسندگان
چکیده
منابع مشابه
Closed-loop neuroscience and neuroengineering
Steve M. Potter*, Ahmed El Hady and Eberhard E. Fetz 1 Laboratory for Neuroengineering, Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA 2 Department of Non Linear Dynamics, Max Planck Institute for Dynamics and Self Organization, Goettingen, Germany 3 Departments of Physiology and Biophysics and Bioengineering, Washington National Primate Research...
متن کاملSoft Materials in Neuroengineering for Hard Problems in Neuroscience
We describe recent advances in soft electronic interface technologies for neuroscience research. Here, low modulus materials and/or compliant mechanical structures enable modes of soft, conformal integration and minimally invasive operation that would be difficult or impossible to achieve using conventional approaches. We begin by summarizing progress in electrodes and associated electronics fo...
متن کاملDistance protection closed-loop testing using RTDS
This paper presents a distance protection test procedure by applying the Real-Time Digital Simulator (RTDS) of a power system. RTDS is a tool to design, develop, and test power-system protection. The RTDS enables real-time computation of electromagnetic phenomena with a calculation time step of even 50μs. The hardware allows the import and export of many signals from the simulator to an ext...
متن کاملClosed-Loop Neuroscience and Non-Invasive Brain Stimulation: A Tale of Two Loops
Closed-loop neuroscience is receiving increasing attention with recent technological advances that enable complex feedback loops to be implemented with millisecond resolution on commodity hardware. We summarize emerging conceptual and methodological frameworks that are available to experimenters investigating a "brain in the loop" using non-invasive brain stimulation and briefly review the expe...
متن کاملA virtual closed loop method for closed loop identification
Indirect methods for identification of linear plant models on the basis of closed-loop data are based on the use of (reconstructed) input signals that are uncorrelated with the noise. This generally requires exact (linear) controller knowledge. On the other hand, direct identification requires exact plant and noise modelling (system in the model set) in order to achieve accurate results, althou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Neural Circuits
سال: 2014
ISSN: 1662-5110
DOI: 10.3389/fncir.2014.00115