IEEE

Computational Model of Episodic Memory: Encoding, Recalling, Forgetting

Abstract: This paper introduces a computational model of episodic memory that learns episodes in response to continuous sensory input. The proposed model utilizes a Hebbian based associative learning ...
ITU

Recommendation ITU-T Z.166 (10/2023) - Testing and Test Control Notation version 3: TTCN-3 control interface (TCI)

Recommendation ITU-T Z.166 specifies the control interfaces for TTCN‑3 test system implementations. The TTCN‑3 control interfaces provide a standardized adaptation for management, test component ...
IEEE

Incorporating contextual cross-attention into encoding-decoding architecture for single-image dehazing

Abstract: In deep learning-based dehazing strategies, attention mechanisms are widely used to refine feature representations and improve overall performance. However, conventional contextual attention ...
Frontiers

Real-world federated learning for brain imaging scientists

Federated learning (FL) has the potential to boost deep learning in neuroimaging but is rarely deployed in real-world scenarios, where its true potential lies. We propose FLightcase, a new FL toolbox ...
C&EN

Decoding the Structure–Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches

Computational Chemistry and Molecular Biophysics Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse–Intramural Research Program, National Institutes of ...