Results 81 to 90 of about 6,149 (210)
Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim +3 more
wiley +1 more source
The concept of postural synergies of the human hand has been shown to potentially reduce complexity in the neuromuscular control of grasping. By merging this concept with soft robotics approaches, a multi degrees of freedom soft-synergy prosthetic hand ...
Qiushi Fu, Qiushi Fu, Marco Santello
doaj +1 more source
Outlook Magazine, Winter 2012 [PDF]
https://digitalcommons.wustl.edu/outlook/1188/thumbnail ...
core +1 more source
Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b [PDF]
The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the subject-specific frequency band. This paper presents the Filter Bank
Kai Keng Ang +4 more
core +1 more source
A hydrogel–liquid metal composite peripheral nerve interface (HLB‐PNI) combines electrically durable electrodes and tissue‐adhesive hydrogel for tissue‐adaptive implantation. In nerve‐injured rats, it enables the diagnosis of sensory‐motor connectivity via stimulation and neural signal recording.
Yewon Kim +5 more
wiley +1 more source
Neuroprosthetics for Auricular Muscles: Neural Networks and Clinical Aspects
The mammalian external ear houses extrinsic and intrinsic auricular muscles. There are three extrinsic auricular muscles—the posterior, superior, and anterior auricular muscles—and six intrinsic muscles—the helicis major and minor, tragicus, anti ...
Mikee Liugan +2 more
doaj +1 more source
Towards Intelligent Environments: An Augmented Reality–Brain–Machine Interface Operated with a See-Through Head-Mount Display [PDF]
The brain-machine interface (BMI) or brain-computer interface (BCI) is a new interface technology that uses neurophysiological signals from the brain to control external machines or computers.
Kouji eTakano +3 more
core +1 more source
Photo‐rewritable ambipolar organic synapses operating in aqueous environments at low voltage (≤0.4 V) demonstrate bidirectional optical plasticity through photon‐modulated electrochemical doping. The bulk heterojunction device enables both excitatory and inhibitory responses with extended retention time (>130 min).
Xiaoqian Su +14 more
wiley +1 more source
Clinical neuroprosthetics: Today and tomorrow
Implantable neurostimulation devices provide a direct therapeutic link to the nervous system and can be considered brain-computer interfaces (BCI). Under this definition, BCI are not simply science fiction, they are part of existing neurosurgical practice.
Lee, Morgan B. +6 more
openaire +4 more sources
Ultra‐Thin Soft Pneumatic Actuation for Minimally Invasive Neural Interfacing
Parylene C is a common polymer in bioelectronics, favored for its biological and chemical inertness. However, this makes bonding layers of Parylene C together very challenging. Here it is a laser to selectively weld layers of Parylene C to create high‐pressure fluidic actuation devices.
Lawrence Coles +4 more
wiley +1 more source

