Results 41 to 50 of about 115,230 (317)

Optimised transcranial direct current stimulation (tDCS) for fibromyalgia—targeting the endogenous pain control system: a randomised, double-blind, factorial clinical trial protocol

BMJ Open, 2019
Introduction Fibromyalgia (FM) is a common debilitating condition with limited therapeutic options. Medications have low efficacy and are often associated with adverse effects.
Luis Castelo-Branco, Elif Uygur Kucukseymen, Dante Duarte, Mirret M El-Hagrassy, Camila Bonin Pinto, Muhammed Enes Gunduz, Alejandra Cardenas-Rojas, Kevin Pacheco-Barrios, Yiling Yang, Paola Gonzalez-Mego, Anayali Estudillo-Guerra, Ludmilla Candido-Santos, Ines Mesia-Toledo, Haley Rafferty, Wolnei Caumo, Felipe Fregni   +15 more
doaj   +1 more source

Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks [PDF]

, 2018
Biological plastic neural networks are systems of extraordinary computational capabilities shaped by evolution, development, and lifetime learning. The interplay of these elements leads to the emergence of adaptive behavior and intelligence.
Abbott, Abraham, Abraham, Alexander, Allis, Alpaydin, Anderson, Andrea Soltoggio, Angeline, Arifovic, Arnold, Arnold, Ay, Bailey, Baldwin, Baxter, Baxter, Bear, Beer, Bengio, Bengio, Bentley, Best, Bienenstock, Birmingham, Blynel, Boers, Bourlard, Brown, Bullinaria, Bullinaria, Bullinaria, Bullinaria, Bullinaria, Bullinaria, Bullinaria, Butz, Butz, Bäck, Cabessa, Carew, Carlson, Carver, Cervier, Chklovskii, Clark, Cliff, Clutton-Brock, Coleman, Cooper, Damasio, Darwin, Dawkins, Deary, Deng, de Vladar, Di Paolo, Di Paolo, Dobzhansky, Doidge, Downing, Downing, Doya, Doya, Draganski, Dudai, Durr, Edelman, Eiben, Ellefsen, Ellefsen, Eskridge, Fellous, Fernando, Fernando, Finnie, Floreano, Floreano, Floreano, Floreano, Floreano, Floreano, Fogel, Fontanari, Friston, Fujii, Funahashi, Gerstner, Gerstner, Goldberg, Goodfellow, Graves, Greve, Grossberg, Gruau, Gu, Gustafsson, Hansen, Happel, Harrington, Harris-Warrick, Harvey, Hasselmo, Hasselmo, Hasselmo, Hawkins, Hebb, Hensch, Hinton, Hinton, Hinton, Hochreiter, Hoinville, Holland, Holland, Hopkins, Hornby, Howard, Howard, Howard, Hull, Husbands, Izhikevich, Izhikevich, Jaeger, Jo, Kaas, Kandel, Kandel, Katz, Katz, Katz, Kenneth O. Stanley, Khan, Khan, Khan, Khan, Kirkpatrick, Kiyota, Klug, Kohonen, Kohonen, Kolb, Kolb, Kondo, Koutník, Koza, Krichmar, Krizhevsky, Kumaran, Kupfermann, Køppe, Lake, Lalejini, Lamprecht, Langton, Lanzi, LeCun, LeDoux, Lee, Lehman, Lehman, Lehman, Levy, Lüders, Lüders, Maass, Maniadakis, Marder, Marder, Markram, Mattiussi, Mayley, McClelland, McQuesten, Meng, Merzenich, Michalewicz, Michalski, Miconi, Miller, Miller, Millington, Monroe, Mouret, Murre, Niv, Nogueira, Nogueira, Nolfi, Nolfi, Nolfi, Nolfi, Norouzzadeh, Offerman, Oja, Oquab, Orchard, Ormrod, Pan, Pascual-Leone, Pavlov, Pehlevan, Pigliucci, Rauschecker, Rawal, Rescorla, Risi, Risi, Risi, Risi, Risi, Roberts, Robins, Roff, Rolls, Rumelhart, Russell, Russo, Sanchez, Schmidhuber, Schmidhuber, Schmidhuber, Schmidhuber, Schreiweis, Schroll, Schultz, Schultz, Schultz, Sebastian Risi, Silva, Silva, Silver, Sims, Sims, Sipper, Skinner, Skinner, Smith, Smith, Smith, Soltoggio, Soltoggio, Soltoggio, Soltoggio, Soltoggio, Soltoggio, Soltoggio, Soltoggio, Sporns, Staddon, Stanley, Stanley, Stanley, Stanley, Stanley, Steels, Stone, Suri, Suri, Sutton, Taylor, Tessier-Lavigne, Thorndike, Thrun, Thrun, Thrun, Tonelli, Tonelli, Urzelai, Varela, Venkatesh, Vitay, Wagner, Walters, Widrow, Willshaw, Yamauchi, Yao, Yao, Yoder, Young, Ziemke   +282 more
core   +3 more sources

Digital Health Integration With Neuromodulation Therapies: The Future of Patient-Centric Innovation in Neuromodulation

Frontiers in Digital Health, 2021
Digital health can drive patient-centric innovation in neuromodulation by leveraging current tools to identify response predictors and digital biomarkers.
Yagna J. Pathak, Walter Greenleaf, Leo Verhagen Metman, Pieter Kubben, Sridevi Sarma, Brian Pepin, Douglas Lautner, Scott DeBates, Alex M. Benison, Binesh Balasingh, Erika Ross   +10 more
doaj   +1 more source

A High TCMRR, Inherently Charge Balanced Bidirectional Front-End for Multichannel Closed-Loop Neuromodulation [PDF]

, 2019
This paper describes a multichannel bidirectional front-end for implantable closed-loop neuromodulation. Stimulation artefacts are reduced by way of a 4-channel H-bridge current source sharing stimulator front-end that minimizes residual charge drops in ...
Delgado Restituto, Manuel, Fiorelli, Rafaella, Pérez Prieto, Norberto, Rodríguez Vázquez, Ángel Benito, Valtierra, José Luis   +4 more
core   +1 more source

Multifocal skull-compensated transcranial focused ultrasound system for neuromodulation applications based on acoustic holography

Microsystems & Nanoengineering, 2023
Transcranial focused ultrasound stimulation is a promising therapeutic modality for human brain disorders because of its noninvasiveness, long penetration depth, and versatile spatial control capability through beamforming and beam steering. However, the
Geon Kook, Yehhyun Jo, C. Oh, Xiaojia Liang, Jae Hyun Kim, Sang-Mok Lee, Subeen Kim, Jung-Woo Choi, H. J. Lee   +8 more
semanticscholar   +1 more source

Connectivity‐based selection of optimal deep brain stimulation contacts: A feasibility study

Annals of Clinical and Translational Neurology, 2019
Background The selection of optimal deep brain stimulation (DBS) parameters is time‐consuming, experience‐dependent, and best suited when acute effects of stimulation can be observed (e.g., tremor reduction).
Vibhor Krishna, Francesco Sammartino, Qinwan Rabbani, Barbara Changizi, Punit Agrawal, Milind Deogaonkar, Michael Knopp, Nicole Young, Ali Rezai   +8 more
doaj   +1 more source

Intrinsic functional neuron-type selectivity of transcranial focused ultrasound neuromodulation

Nature Communications, 2021
Transcranial focused ultrasound (tFUS) is a promising neuromodulation technique, but its mechanisms remain unclear. We hypothesize that if tFUS parameters exhibit distinct modulation effects in different neuron populations, then the mechanism can be ...
Kai Yu, Xiaodan Niu, E. Krook-Magnuson, Bin He   +3 more
semanticscholar   +1 more source

Evolutionary Divergence in Developmental Strategies and Neuromodulatory Control Systems of Two Amphibian Locomotor Networks [PDF]

, 2004
Attempts to understand the neural mechanisms which produce behaviour must consider both prevailing sensory cues and the central cellular and synaptic changes they direct. At each level, neuromodulation can additionally shape the final output.
Buchanan, James T., McLean, David L., Merrywest, Simon D., Sillar, Keith T.   +3 more
core   +2 more sources

Neuromodulation of the peripheral nervous system: Bioelectronic technology and prospective developments

BMEMat, 2023
The peripheral nervous system (PNS) is a fascinatingly complex and crucial component of the human body, responsible for transmitting vital signals throughout the body's intricate network of nerves.
Hayoung Song, Moohyun Kim, Enji Kim, Jakyoung Lee, Inhea Jeong, Kyeonghee Lim, Seoung Young Ryu, Myoungjae Oh, Younhee Kim, Jang‐Ung Park   +9 more
semanticscholar   +1 more source

Embodied Robot Models for Interdisciplinary Emotion Research [PDF]

, 2019
Due to their complex nature, emotions cannot be properly understood from the perspective of a single discipline. In this paper, I discuss how the use of robots as models is beneficial for interdisciplinary emotion research.
Canamero, Lola
core   +2 more sources