Results 121 to 130 of about 97,052 (301)

Brain–machine interfaces [PDF]

Nature Biotechnology, 2019
openaire   +3 more sources

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Conducting polymer nanowire brain-machine interface systems and methods [PDF]

, 2006
The present invention relates to conducting polymer nanowires and their use in a brain-machine interface which is secure, robust and minimally invasive. In accordance with a first aspect of the present invention, a vascular-based brain-machine interface ...
Hunter, IW, Ruddy, Bryan, Llinas, RR
core  

Synaptic output from suprachiasmatic nucleus cholecystokinin neurons regulates locomotor rhythmicity

Frontiers in Neuroscience
BackgroundThe mammalian suprachiasmatic nucleus (SCN) serves as the master circadian pacemaker, which coordinates daily behavioral and physiological rhythms through functionally diverse neuronal subtypes. Cholecystokinin (CCK) is expressed in a subset of
Wanli Chen, Wanli Chen, Wanli Chen, Wanli Chen, Zhixiong Ma, Zhixiong Ma, Zhixiong Ma, Xiaoqing Hao, Xiaoqing Hao, Xiaoqing Hao, Shikang Guan, Shikang Guan, Shikang Guan, Xin Diao, Xin Diao, Xin Diao, Yuehong Huang, Yuehong Huang, Yuehong Huang, Yuehong Huang, Ruogu Liu, Ruogu Liu, Ruogu Liu, Ruogu Liu, Zhengran Li, Zhengran Li, Zhengran Li, Zhengran Li, Bingbing Xue, Bingbing Xue, Bingbing Xue, Tongfei A. Wang, Tongfei A. Wang, Tongfei A. Wang, Tongfei A. Wang   +34 more
doaj   +1 more source

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

Advanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase, Varsha C. Pujari, Akash V. Fulari, Sunil M. Patange, Sean Li, Danyang Wang, Sagar E. Shirsath   +6 more
wiley   +1 more source

Revealing unexpected complex encoding but simple decoding mechanisms in motor cortex via separating behaviorally relevant neural signals

eLife
In motor cortex, behaviorally relevant neural responses are entangled with irrelevant signals, which complicates the study of encoding and decoding mechanisms.
Yangang Li, Xinyun Zhu, Yu Qi, Yueming Wang   +3 more
doaj   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

An Autonomous Brain Machine Interface [PDF]

, 2013
Doctoral DissertationThe aim of our work has been to advance the field of brain machine interfaces by creating a novel algorithm that can be implemented in the real-world. Most systems currently use supervised learning to train their algorithms for a pre-
Marsh, Brandi
core  

Editorial: Neural computations for brain machine interface applications. [PDF]

Front Hum Neurosci, 2023
Kang YH, Khorasani A, Flint RD, Farrokhi B, Lee SW.   +4 more
europepmc   +1 more source

Intrinsically Stretchable Piezoelectric Nanocomposites for Artificial Ultrasonic Sensory Synapse

Advanced Materials, EarlyView.
Applying ultrasonic stimulations to a soft‐stretchable underwater piezoelectric sensor based on the soft‐stretchable nanocomposite from the thermal cross‐linking between the ─C─F group of P(VDF‐TrFE) and the ─NH2 group of (PEG‐diamine) with incorporating amine‐terminated BTO@APTES nanofillers on the soft PDMS substrates generated high piezoelectric ...
Trung Dieu Do, Tran Quang Trung, Priyanuj Bhuyan, Minh Chien Nguyen, Que Thi Nguyen, Namjun Jo, Yeonsu Kim, Thanh Duy Cam Ha, Myung‐Gil Kim, Sungjune Park, Woo Jong Yu, Nae‐Eung Lee   +11 more
wiley   +1 more source