Results 161 to 170 of about 5,764,417 (374)

Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons [PDF]

, 2019
Constrained by results from classic behavioral experiments we provide a neural-level cognitive architecture for modeling behavior in working memory tasks.
Cruzado, Nathaniel, Howard, Marc, Tiganj, Zoran   +2 more
core   +1 more source

Testing A Personalized Approach to Chronic Low Back Pain: A Randomized Controlled Trial in Older Veterans

Arthritis Care &Research, Accepted Article.
Objective We aimed to test the efficacy of personalized treatment of older Veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABC) as compared with usual care (UC). Methods Two hundred ninety‐nine Veterans age 65‐89 with CLBP from 3 VA medical centers underwent baseline testing, randomization to ABC or UC and 12 months follow ...
Debra K. Weiner, Angela Gentili, Meika A. Fang, Edward Garay, Laura Lawson, Lenore Joseph, Cathy C. Lee, Michelle I. Rossi, Beverly Thorn, Subashan Perera   +9 more
wiley   +1 more source

The phonological loop model of working memory: An ERP study of irrelevant speech and phonological similarity effects [PDF]

, 1997
Manuel Martı́n-Loeches, Stefan R. Schweinberger, Werner Sommer   +2 more
openalex   +1 more source

Understanding acceptability judgments: Additivity and working memory effects [PDF]

, 2010
Linguists build theories of grammar based largely on acceptability contrasts. But these contrasts can reflect grammatical constraints and/or constraints on language processing.
Hofmeister, Philip, Sag, Ivan A, Staum Casasanto, Laura   +2 more
core   +2 more sources

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

The neural bases of distracter-resistant working memory [PDF]

, 2011
A major difference between humans and other animals is our capacity to maintain information in working memory (WM) while performing secondary tasks, which enables sustained, complex cognition.
Edward Smith, Rachel Insler, Tor Wager
core   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Visuo-spatial working memory [PDF]

, 1995

openalex   +1 more source

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

Advanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian, Frédéric Demoly, Mohammad Lakhi, Bernard Rolfe, Mahdi Bodaghi   +4 more
wiley   +1 more source

New Developments in the Field of Production and Application of Multi‐Material Wire Arc Additive Manufacturing Components: A Review

Advanced Engineering Materials, EarlyView.
The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley   +1 more source