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Temporal and spatial contiguity are necessary for competition between events
No full textOver the last 50 years, cue competition phenomena have shaped theoretical developments in animal and human learning. However, recent failures to obtain the well-known blocking effect in standard conditioning procedures, as well as the lengthy and on-going debate surrounding cue competition in the spatial learning literature, have cast doubts on the generality of competition phenomena. In the present study, we manipulated temporal contiguity between predictors and outcomes (Experiments 1-4), and spatial contiguity between landmarks and goals in spatial learning (Experiments 5-7). Across different parametric variations, we observed overshadowing when temporal and spatial contiguity were strong, but no overshadowing when contiguity was weak. Thus, across temporal and spatial domains, we observed that contiguity is necessary for competition to occur, and that competition between cues during learning is absent when cues were either spatially or temporally discontiguous. Consequently, we advance a model in which the contiguity of cues is accounted for, and which can reconcile the previously contradictory findings observed in spatial and non-spatial domains
DFT data used in training MolE8 chemical ML models
No full text===============================================================
Data for paper
"MolE8: Finding DFT Potential Energy Surface Minima Values from
Force-Field Optimised Organic Molecules with New Machine
Learning Representations"
Sanha Lee, Kristaps Ermanis* and Jonathan M. Goodman*
Yusuf Hamied Department of Chemistry, University of Cambridge,
Lensfield Road, Cambridge, CB2 1EW
and
School of Chemistry, University of Nottingham,
University Park Nottingham, Nottingham, NG7 2RD
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This dataset contains Gaussian DFT optimization and frequency
calculation output files for all of the molecules used in the
training of the MolE8 representations and machine learning
methods.
The dataset is divided in 7 parts to keep the archive file sizes
manageable. Each folder contains data for around 8000 molecules.
The data includes the geometry optimization *a.out files, frequency
calculation *f.out files and *sdf files of the optimized structures
for wider compatibility with visualization software.
Part 1 contains structure files up to 009999A1*
Part 2 contains structure files up to 019999A1*
Part 3 contains structure files up to 021988A1*
Part 4 contains structure files up to 39997A1*
Part 5 contains structure files up to 49999A1*
Part 6 contains structure files up to 59999A1*
Part 6 contains structure files up to 69125A1*
All structures in these folders have been optimized and frequencies
calculated at B3LYP/6-31g(2df,p) level in gas phase.
All of the files can be opened in any text editor. Gaussian output structures
can be viewed and the frequency modes visualised in GausView, Avogadro, jmol
and in most other molecular viewers/editors. *.sdf files can be viewed in
essentially all 3D molecular editors and viewers
Benthic and planktic carbon and oxygen isotopes, planktic trace elements, XRF-derived elemental ratios from Site NGHP-01-01A
No full textDisentangling interventions to reduce fear of falling in community-dwelling older people: a systematic review and meta-analysis of intervention components
No full textAdditional file 4 of Test@work: evaluation of workplace HIV testing for construction workers using the RE-AIM framework
No full textCatchment geochemical analyses from Disko 1,2 & 4 lake catchments, Disko Island (West Greenland) collected in 2013
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