Results 41 to 50 of about 1,510,101 (281)

Learning vector quantization neural network–based model reference adaptive control method for intelligent lower-limb prosthesis

Advances in Mechanical Engineering, 2016
This article focuses on the design of a control system for intelligent prostheses. Learning vector quantization neural network–based model reference adaptive control method is employed to implement real-time trajectory tracking and damp torque control of
Jia-Qiang Yang, Lei Yang, Yuliang Ma
doaj   +1 more source

Past, Present, and Future of Prostheses and Rehabilitation

, 2020
A prosthesis is defined as “…a device attached to the stump of an amputated body part due to traumatic or congenital conditions…” [1]. Prostheses have evolved over the past centuries, starting with a wooden toe to the highly mechanized robotic limbs of ...
Madhanagopal, Shanthini, Vinjamuri, Ramana, Pei, Dingyi, Mukundhan, Rohan, Burns, Martin, Meyerson, Helen   +5 more
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Visual prostheses: The enabling technology to give sight to the blind

Journal of Ophthalmic & Vision Research, 2014
Millions of patients are either slowly losing their vision or are already blind due to retinal degenerative diseases such as retinitis pigmentosa (RP) and age-related macular degeneration (AMD) or because of accidents or injuries.
Mohammad Hossein Maghami, Amir Masoud Sodagar, Alireza Lashay, Hamid Riazi-Esfahani, Mohammad Riazi-Esfahani   +4 more
doaj   +1 more source

Neural Decoding for Intracortical Brain–Computer Interfaces

Cyborg and Bionic Systems, 2023
Brain–computer interfaces have revolutionized the field of neuroscience by providing a solution for paralyzed patients to control external devices and improve the quality of daily life.
Yuanrui Dong, Shirong Wang, Qiang Huang, Rune W. Berg, Guanghui Li, Jiping He   +5 more
doaj   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Optimal interphase delay in biphasic current pulses facilitates neural circuit activation induced by microstimulation in the mouse visual cortex

Frontiers in Neuroscience
Cathodic-first biphasic current pulses are commonly employed in intracortical microstimulation. Due to the intricate arrangement of axons, somata, and dendrites in the cerebral cortex, membrane polarizations induced by the cathodic and subsequent anodic ...
Santa Fukuda, Yuki Hayashida
doaj   +1 more source

An Implantable Wireless Neural Interface System for Simultaneous Recording and Stimulation of Peripheral Nerve with a Single Cuff Electrode

Sensors, 2017
Recently, implantable devices have become widely used in neural prostheses because they eliminate endemic drawbacks of conventional percutaneous neural interface systems.
Ahnsei Shon, Jun-Uk Chu, Jiuk Jung, Hyungmin Kim, Inchan Youn   +4 more
doaj   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays. [PDF]

PLoS Computational Biology, 2017
Simultaneous electrical stimulation and recording using multi-electrode arrays can provide a valuable technique for studying circuit connectivity and engineering neural interfaces. However, interpreting these measurements is challenging because the spike
Gonzalo E Mena, Lauren E Grosberg, Sasidhar Madugula, Paweł Hottowy, Alan Litke, John Cunningham, E J Chichilnisky, Liam Paninski   +7 more
doaj   +1 more source