Results 251 to 260 of about 3,555,912 (299)
An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang +3 more
wiley +1 more source
Spiking neural networks for EEG signal analysis using wavelet transform. [PDF]
Yuan L, Wei J, Liu Y.
europepmc +1 more source
Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka +3 more
wiley +1 more source
Astrocyte-gated multi-timescale plasticity for online continual learning in deep spiking neural networks. [PDF]
Dong Z, He W.
europepmc +1 more source
Mesoporous mixed ionic‐electronic PU/PEDOT: PSS electrodes enable label‐free detection of stochastic extracellular bioelectrical dynamics in living Phaeodactylum tricornutum. Living diatoms actively modulate interfacial ionic dynamics, establishing stochastic electrochemical noise as a sensitive probe of microbial bioelectrochemical activity and a new ...
David M. S. Silva +7 more
wiley +1 more source
A mean-field approach to criticality in spiking neural networks for reservoir computing. [PDF]
Freddi R, Cicala F, Marzetti L, Basti A.
europepmc +1 more source
A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing
Pek Jun Tiw and co‐workers develop a reconfigurable memristive neuron that can exhibit four spiking behaviors with freely tunable spike train parameters. The neuron supports multiplexed spike encoding of multiple pieces of information. It also supports advanced neural network strategies, such as neural heterogeneity and dynamic mode switching ...
Pek Jun Tiw +6 more
wiley +1 more source
Covariant spatio-temporal receptive fields for spiking neural networks. [PDF]
Pedersen JE, Conradt J, Lindeberg T.
europepmc +1 more source
A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine
This study introduces a new class of material‐based intelligent machines. It presents a Physical Adaptive Material Motor Unit Neural Network, an assembly of smart 4D printed actuators and a controlling system that adapt through environmental interaction its shading behavior.
Charles de Kergariou +2 more
wiley +1 more source
Ion‐Exchange‐Driven Ternary Organic Neuromorphic Devices with High Efficiency and Stability
Spontaneous ion exchange in a ternary polymer–ionic liquid blend disrupts the phase‐separated ionic domains of the binary film and creates a more homogeneous polymer–ion environment. This ionically reorganized matrix enables stable and efficient electrochemical doping, leading to ion‐gel‐gated organic electrochemical transistors with enhanced ...
Sungmin Lee +14 more
wiley +1 more source

