Results 251 to 260 of about 6,675,279 (300)

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
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, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

Short-term plasticity influences episodic memory recall: an interplay of synaptic traces in a spiking neural network model. [PDF]

Sci Rep
Chrysanthidis N, Fiebig F, Lansner A, Herman P.   +3 more
europepmc   +1 more source

Mesoporous PU/PEDOT:PSS Electrodes Reveal Population‐Level Stochastic Bioelectrical Dynamics in Marine Diatoms

Advanced Science, EarlyView.
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, Felipe L. Bacellar, Raquel Amaral, Louis‐Josselin Lavier‐Aydat, Luísa Cortes, Kamal Asadi, Leïla Tirichine, Paulo R. F. Rocha   +7 more
wiley   +1 more source

Complex Spiking Neural Network Evaluated by Injury Resistance Under Stochastic Attacks. [PDF]

Brain Sci
Guo L, Li C, Liu H, Song Y.
europepmc   +1 more source

A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing

Advanced Science, EarlyView.
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, Yuqi Li, Zhongyuan Li, Qihang Ding, Yuzhe Wang, Jiarong Wang, Yuchao Yang   +6 more
wiley   +1 more source

Balancing Energy Consumption and Detection Accuracy in Cardiovascular Disease Diagnosis: A Spiking Neural Network-Based Approach with ECG and PCG Signals. [PDF]

Sensors (Basel)
Ran G, Wang Y, Zhang H, Cheng J, Lai D.
europepmc   +1 more source

A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine

Advanced Science, EarlyView.
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, Helmut Hauser, David Correa   +2 more
wiley   +1 more source

An all integer-based spiking neural network with dynamic threshold adaptation. [PDF]

Front Neurosci
Zou C, Cui X, Feng S, Chen G, Zhong Y, Dai Z, Wang Y.   +6 more
europepmc   +1 more source

Ion‐Exchange‐Driven Ternary Organic Neuromorphic Devices with High Efficiency and Stability

Advanced Science, EarlyView.
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, Vivek Pratap Singh, Hyeonryul Lee, Young‐Yong Kim, Yong‐Ryun Jo, Changhoon Lee, Ji Hoon Shim, Namsoo Lim, Guanjie Wang, Junyeong Sung, Dongyeop Yang, Zhongwu Wang, Liqiang Li, Chandran Balamurugan, Sooncheol Kwon   +14 more
wiley   +1 more source

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding. [PDF]

Front Neurosci
Song Y, Han L, Zhang T, Xu B.
europepmc   +1 more source