Results 61 to 70 of about 3,351 (196)
A componential analysis of the ERP elicited by novel events using a dense electrode array
, 1999 In this study, we examined the relationship between the novelty P3 and the P300 components of the brain event‐related potential (ERP). Fifteen subjects responded manually to the rare stimuli embedded either in a classical auditory oddball series or in a ...
Dien, Joseph +5 more
core +1 more source
Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces
Advanced Science, EarlyView.System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee +9 more
wiley +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Cavity Microelectrode Arrays for Electrical Recordings From Neurons
Advanced Electronic Materials, EarlyView.Microelectrode arrays (MEAs) are used to study electrophysiological activity. However, their signals are small with high noise. By adding a 100‐nanometer‐high cavity above the electrode, which reduces impedance without affecting resolution, we improve signal quality.
Johannes Lewen +2 more
wiley +1 more source
Methods for Examining Electrophysiological Coherence in Epileptic Networks
Frontiers in Neurology, 2013 Epilepsy may reflect a focal abnormality of cerebral tissue, but the generation of seizures typically involves propagation of abnormal activity through cerebral networks.
Jasmine eSong +8 more
doaj +1 more source
Advanced Electronic Materials, EarlyView.Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System
Advanced Intelligent Systems, EarlyView.This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim +10 more
wiley +1 more source
Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure
, 2020 Non-invasive brain imaging techniques are popular tools for monitoring the cognitive state of human participants. This work builds on our previous studies using the HydroCel Geodesic Sensor Net, 256 electrodes dense-array electro-encephalography (EEG ...
Sungchul Ji +3 more
core +2 more sources
AI‐Driven Mapping of Seizure Spread Patterns
Annals of Neurology, EarlyView.Objective The focus of epilepsy research has largely been on seizure onset; however, physicians typically examine the patterns of seizure spread past seizure onset as well. This study aims to align automated seizure analysis with clinical practice, leverage deep learning to standardize seizure annotations that varies among physicians, and understand ...
Andrew Y. Revell +13 more
wiley +1 more source