Results 181 to 190 of about 2,367,946 (319)

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

Linking Attentional Modulation to Auditory Attention Decoding: Using Colocated Stimuli With a Fixed Temporal Structure

Trends in Hearing
Neural representations of task-relevant sounds are emphasized when they are attended to, compared with when they are ignored. Classic markers of this modulation, such as amplitude change of event-related potentials (ERPs) and attentional modulation ...
Jusung Ham, Ian Pope, Jinhee Kim, Hwan Shim, Bijaya Adhikari, Yu-Hsiang Wu, Kyogu Lee, Barbara G. Shinn-Cunningham, Octav Chipara, Inyong Choi   +9 more
doaj   +1 more source

Integrated Ultrasonic Platform for Bioelectronic Control through Biological Barriers Based on Metasurface

Advanced Science, EarlyView.
A metasurface‐enabled ultrasonic platform achieves precise multi‐focal control through biological barriers, real‐time physiology‐driven modulation, and simultaneous wireless power and data transmission. By unifying wavefront engineering, closed‐loop feedback, and acoustic communication, this work establishes key enabling technologies toward scalable ...
Chuanxin Zhang, Hanjie Xiao, Xue Jiang, Dean Ta   +3 more
wiley   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Automatic Spike Sorting for Neural Decoding [PDF]

, 2004
While various automated spike sorting techniques have been developed, their impact on neural decoding has not been investigated. In this paper we extend previous Gaussian mixture models and Expectation Maximization (EM) techniques for automatic spike ...
M. Fellows, F. Wood, J. P. Donoghue, M. J. Black   +3 more
core  

Heterojunction‐Engineered Mass Spectrometry Platform for Deciphering Serum Metabolic Fingerprints in Diagnosis of Respiratory Diseases

Advanced Science, EarlyView.
Hollow Co3O4/TiO2 heterojunctions are engineered for high‐throughput laser desorption/ionization mass spectrometry. The built‐in electric field drives efficient charge separation and photothermal conversion, while the hierarchical mesoporous network enables robust salt and protein tolerance.
Junyu Chen, Chaoqi Wang, Xi Yu, Yuming Jiang, Yijiao Qu, Huihui Fu, Yuyin Bu, Xiaoyong Zhang, Zongxiu Nie   +8 more
wiley   +1 more source

Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models [PDF]

, 2008
. To date, the neural decoding of time-evolving physical state – for example, the path of a foraging rat or arm movements – has been largely carried out using linear trajectory models, primarily due to their computational efficiency.
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani   +3 more
core  

Exploiting correlations across trials and behavioral sessions to improve neural decoding. [PDF]

Neuron
Zhang Y, Lyu H, Hurwitz C, Wang S, Findling C, Wang Y, Hubert F, International Brain Laboratory, Pouget A, Varol E, Paninski L.   +10 more
europepmc   +2 more sources

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Field‐Free Spin‐Splitting‐Torque Driven Stochastic Neuron Mimicking the Neuromorphic Imagination for High‐Performance Recognition

Advanced Science, EarlyView.
The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng, Baoshan Cui, Xi Guo, Jiahao Liu, Xiaoyu Feng, Liang Fang, Li Xi, Xiaolong Fan, Xiaoxi Liu, Yang Guo   +9 more
wiley   +1 more source