PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang +10 more
wiley +1 more source
Topology-aware design of spiking neural networks via modular graph architectures. [PDF]
Motaghian F +3 more
europepmc +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Autapses enable temporal pattern recognition in spiking neural networks. [PDF]
Yaqoob M, Steuber V, Wróbel B.
europepmc +1 more source
AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz +4 more
wiley +1 more source
Computational modeling of spatiotemporal afterimage visual perception with spiking neural networks. [PDF]
Byzalov I, Cohen Duwek H, Ezra Tsur E.
europepmc +1 more source
Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates
ABSTRACT Biological plasticity refers to the ability of synapses to strengthen or weaken over time. These adaptive properties play a fundamental role in learning and memory, spanning many orders of magnitude in timescales. Short‐term plasticity (STP) arises from rapid correlative activity, while long‐term plasticity (LTP) is governed by slower ...
Ranjan Kumar Patel +8 more
wiley +1 more source
Magnetic Skyrmion Neurons with Homeostasis for Spiking Neural Networks. [PDF]
Yang S +8 more
europepmc +1 more source
Reconfigurable Selector‐Only Memory (SOM) for Scalable Neuromorphic Computing
ABSTRACT Highly scalable reconfigurable neuromorphic devices are critical for addressing continual‐learning challenges in artificial intelligence. However, the scalability of existing reconfigurable devices is severely constrained by limited operating margins and insufficient process maturity.
Jin‐Yu Wen +7 more
wiley +1 more source
Event-Driven Spiking Neural Networks for Private Vehicle Parking Prediction. [PDF]
Long W, Chen J.
europepmc +1 more source

