Dual threshold optimization and network inference reveal convergent evidence from TF binding locations and TF perturbation responses.
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DOI: 10.1101/gr.259655.119
Abstract: A high-confidence map of the direct, functional targets of each transcription factor (TF) requires convergent evidence from independent sources. Two significant sources of evidence are TF binding locations and the transcriptional responses to direct TF… read more here.
Keywords: threshold optimization; network; binding locations; evidence ... See more keywords
Modeling and Dual Threshold Algorithm for Diffusion-Based Molecular MIMO Communications
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DOI: 10.1109/tnb.2021.3077297
Abstract: Molecular communication, as an emerging research direction, has emerged in the field of communication, which usually combined with nanotechnology and bio-related knowledge. In the direction of communication channel research, the most widespread model for a… read more here.
Keywords: mimo; diffusion based; communication; dual threshold ... See more keywords
Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3184004
Abstract: The strengthening and the weakening of synaptic strength in existing Bienenstock-Cooper-Munro (BCM) learning rule are determined by a long-term potentiation (LTP) sliding modification threshold and the afferent synaptic activities. However, synaptic long-term depression (LTD) even… read more here.
Keywords: state; threshold; dual threshold; bienenstock cooper ... See more keywords