https://elifesciences.org/articles/67455
Minimal modifications of common regulatory circuits can allow bacteria to learn from the past to better predict the future, on a physiological, rather than...
simpleregulatoryarchitectureallowslearning
https://deepai.org/publication/applying-deep-reinforcement-learning-to-the-hp-model-for-protein-structure-prediction
11/27/22 - A central problem in computational biophysics is protein structure prediction, i.e., finding the optimal folding of a given amino ...
deep reinforcement learninghp modelapplyingprotein
https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2024.1383630/full
Individual differences in social learning impact many important decisions, from voting behavior to polarization. Prior research has found that there are cons...
brain structurefrontierssocialinformationuse
https://www.nist.gov/publications/examining-effects-deep-learning-model-structure-model-interpretability-time-series
This present work utilizes an interpretability model to understand and explain the decisions of deep learning models.
the effectsdeep learningmodel structureexamining
https://openreview.net/forum?id=APXcX7z1Bi
The detection of ligand binding sites for proteins is a fundamental step in Structure-Based Drug Design. Despite notable advances in recent years, existing...
the firstcrossstructuredatasetlearning
https://pattonsf.blogspot.com/2020/03/covid-19-scramble-adapting-to-remote.html
Well, friends, I'll bet most of us didn't see this pandemic coming. Not to the extent of impact it's had on the teaching and learning of a...
structure functionthe bodycovidscrambleadapting
https://biomol-informatics.com/testing-machine-learning-techniques-for-general-application-by-using-protein-secondary-structure-prediction-a-brief-survey-with-studies-of-pitfalls-and-benefits-using-a-simple-progressive-learning-ap/
testing machinelearningtechniquesgeneralapplication
https://openreview.net/forum?id=H4xxa2NuP-9&referrer=%5Bthe%20profile%20of%20Ant%C3%B3nio%20G%C3%B3is%5D(%2Fprofile%3Fid%3D~Ant%C3%B3nio_G%C3%B3is1)
We propose DAG-GFlowNet, a new Bayesian structure learning method based on a novel class of probabilistic models called GFlowNets, that treats sampling of...
structure learningbayesiangenerativeflownetworks
https://neurosciencenews.com/music-learning-brain-structure-7037/
Listening to music while learning a new physical skill can help increase connectivity in the white matter tract linking auditory and motor regions of the...
with musicbrain structurelearningchangeneuroscience