Results 121 to 130 of about 57,909 (296)

Reversal- and Non-Reversal-Shift Discrimination Learning as a Function of Drive in Albino Rats [PDF]

, 1974
Drive level affected reversal rather than non-reversal-shift learning during initial shift-discrimination trials. Animals under high water deprivation during the original simultaneous discrimination and reversal-shift discrimination made more initial ...
Jerome S. Cohen, Gabor A. Telegdy
core   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

A new preference reversal in health utility measurement [PDF]

A central assumption in health utility measurement is that preferences are invariant to the elicitation method that is used. This assumptioin is challenged by preferences reversals.
Jose Luis Pinto-Prades, Han Bleichrodt
core  

Touchscreen-based cognitive tasks reveal age-related impairment in a primate aging model, the grey mouse lemur (Microcebus murinus) [PDF]

, 2014
Mouse lemurs are suggested to represent promising novel non-human primate models for aging research. However, standardized and cross-taxa cognitive testing methods are still lacking.
Sandra Ammersdörfer (641760), Daniel Schmidtke (417120), Daniel Schmidtke, Marine Joly (162473), Schmidtke, Daniel, Sandra Ammersdörfer, Elke Zimmermann (76427), Ammersdorfer, Sandra, Joly, Marine, Zimmermann, Elke, Elke Zimmermann, Marine Joly   +11 more
core   +1 more source

Functional heterogeneity within the rodent lateral orbitofrontal cortex dissociates outcome devaluation and reversal learning deficits

eLife, 2018
The orbitofrontal cortex (OFC) is critical for updating reward-directed behaviours flexibly when outcomes are devalued or when task contingencies are reversed.
Marios C Panayi, Simon Killcross
doaj   +1 more source

Contrast-reversal abolishes perceptual learning

Journal of Vision, 2009
We tested the effects of contrast reversal on perceptual learning in a 10AFC texture identification task. Four groups of subjects performed the task on two consecutive days. One group saw the same textures on both days, whereas three other groups saw novel, rotated (180 deg), or contrast-reversed textures on the second day.
Zahra, Hussain, Allison B, Sekuler, Patrick J, Bennett   +2 more
openaire   +2 more sources

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Reverse generative learning

Journal of International Students
This paper examines the impact of senior influencers on Douyin and their role in shaping the educational perceptions of postgraduate students in mainland China. The paper comprises 23 semistructured interviews with students in Guangdong, exploring three themes: algorithm-driven intergenerational identity fluidity, the decentralization of knowledge ...
Wenrui Liang, Rosya Izyanie Shamshudeen, Md Azalanshah Md Syed, Shen Hui   +3 more
openaire   +1 more source