Results 171 to 180 of about 3,348,536 (356)

Distributed Temporal Coding of Visual Memory Categories in Human Hippocampal Neurons Revealed by an Interpretable Decoding Model

open access: yesAdvanced Science, EarlyView.
This study examines how the human hippocampus encodes visual memory categories. By decoding spiking activity from CA3 and CA1 neurons using an interpretable model, it reveals that category‐specific representations emerge from distributed temporal coding.
Xiwei She   +17 more
wiley   +1 more source

On the applied mathematics of discrete tomography

open access: yesВычислительные технологии, 2004
The authors survey the foundations of the Discrete Tomography and outline their contributions. Connections of Discrete Tomography with other fields of mathematics and its practical applications are presented. The problems of consistency, uniqueness, and reconstruction are defined and their complexities are examined. Additivity and uniqueness, being the
Yaşar, Ö.   +5 more
openaire   +2 more sources

PRO‐LDM: A Conditional Latent Diffusion Model for Protein Sequence Design and Functional Optimization

open access: yesAdvanced Science, EarlyView.
PRO‐LDM is a modular latent diffusion framework that learns hierarchical biological representations to enable efficient and high‐fidelity protein design. PRO‐LDM can design species that resemble natural sequences with enhanced diversity or optimize protein functions.
Sitao Zhang   +15 more
wiley   +1 more source

Smart Health Evaluation for Lithium‐Ion Battery With Super‐Short‐Segment Charging

open access: yesAdvanced Science, EarlyView.
This study proposes a health feature extraction method integrating degradation mechanism‐guided scale‐invariant feature transform with machine learning for lithium‐ion batteries. Validated across 87 commercial cells with diverse chemistries and formats, it achieves 1.97% RMSE in capacity estimation using only 10% charging segments. The approach enables
Qinghua Li   +6 more
wiley   +1 more source

Kinetically Limited Growth of Dendritic Tin Oxide Thin Films: a Machine Learning Study beyond the Structure Zone Diagram

open access: yesAdvanced Science, EarlyView.
This work presents a critical evaluation of the empirical Thornton's structure zone diagram, a cornerstone in predicting thin film microstructure. Through transmission electron microscopy, we observe that Sn─O thin films form nanosized dendrites, which are not expected according to the structure zone diagram.
Denis Music   +5 more
wiley   +1 more source

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