Hamza Tahir

Dec 6, 2024 | arxiv.org | Hamza Tahir

arXiv:2412.05418 (cs) View PDF HTML (experimental) Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (stat.ML) Cite as: arXiv:2412.05418 [cs.LG] (or arXiv:2412.05418v1 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2412.05418 Submission history From: Benjamin Ruben [ view email] [v1] Fri, 6 Dec 2024 20:55:27 UTC (2,596 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle...

Nov 22, 2024 | biorxiv.org | Leila Jebeli |Taylor McDaniels |Hamza Tahir |Nicholas L. Kai-Ming

AbstractPeriplasmic O-linked protein glycosylation is a highly conserved process observed across the Burkholderia genus. Within Burkholderia, protein glycosylation requires the five gene cluster known as the O-glycosylation cluster (OGC, ogcXABEI) which facilitates the construction of the O-linked trisaccharide attached to periplasmic proteins.

Jun 7, 2023 | arxiv.org | Hamza Tahir

Sequence memory is an essential attribute of natural and artificial intelligence that enables agents to encode, store, and retrieve complex sequences of stimuli and actions. Computational models of sequence memory have been proposed where recurrent Hopfield-like neural networks are trained with temporally asymmetric Hebbian rules.