Learnable Diffusion Framework for Mouse V1 Neural Decoding
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Ultrafast Multilevel Switching and Synaptic Behavior in a Planar Quantum Topological Memristor
Dry‐transferred Bi2Te3 layers enable a planar quantum topological memristor framework. In‐plane topological surface states facilitate ultrafast & low‐power operations. Coexisting analog and digital modes support current‐controlled multilevel states. PQTM exhibits 105 s retention, 103 cycles endurance, and reproducibility across 24 devices.
Mamoon Ur Rashid +12 more
wiley +1 more source
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences [PDF]
Daniel Quang, Xiaohui Xie
openalex +1 more source
This work successfully fabricated ion‐conductive hydrogels with low hysteresis and high conductivity using 3D printing technology. By adjusting the component ratios, the properties of the hydrogels can be tuned to meet diverse sensing requirements. Finally, a multimodal sensing sign language recognition system was constructed based on this hydrogel ...
Quan Hu +9 more
wiley +1 more source
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source
An Industrial Robot Gearbox Fault Diagnosis Approach Using Multi-Scale Empirical Mode Decomposition and a One-Dimensional Convolutional Neural Network-Bidirectional Gated Recurrent Unit Method [PDF]
Qifeng Niu +3 more
openalex +1 more source
GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network
Van An Le et al.
openalex +2 more sources
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction [PDF]
Naghmeh Shafiee Roudbari +3 more
openalex +1 more source
Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang +11 more
wiley +1 more source

