Author(s): van den Bos W; Bruckner R; Nassar MR; Mata R; Eppinger B;

In recent years, the application of computational modeling in studies on age-related changes in decision making and learning has gained in popularity. One advantage of computational models is that they provide access to latent variables that cannot be directly observed from behavior. In combination with experimental manipulations, these latent variables c ...

Article GUID: 29066078

Author(s): Carter F; Cossette MP; Trujillo-Pisanty I; Pallikaras V; Breton YA; Conover K; Caplan J; Solis P; Voisard J; Yaksich A; Shizgal P;

Phasic dopamine activity is believed to both encode reward-prediction errors (RPEs) and to cause the adaptations that these errors engender. If so, a rat working for optogenetic stimulation of dopamine neurons will repeatedly update its policy and/or action values, thus iteratively increasing its ...

Article GUID: 38039083

Author(s): Moezi SA; Sedaghati R; Rakheja S;

In recent years, magnetoactive soft continuum robots (MSCRs) with multimodal locomotion capabilities have emerged for various biomedical applications. Developments in nonlinear dynamic models and effective control methods for MSCRs are deemed vital not only to gain a better understanding of their coupled magneto-mechanical behavior but also to accurately ...

Article GUID: 37932207

Author(s): Sartori I; Walnum HT; Skeie KS; Georges L; Knudsen MD; Bacher P; Candanedo J; Sigounis AM; Prakash AK; Pritoni M; Granderson J; Yang S; Wan MP;

The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications o ...

Article GUID: 37153123

Author(s): Pan J; Huang J; Cheng G; Zeng Y;

This paper proposes, implements, and evaluates a reinforcement learning (RL)-based computational framework for automatic mesh generation. Mesh generation plays a fundamental role in numerical simulations in the area of computer aided design and engineering (CAD/E). It is identified as one of the critical issues in the NASA CFD Vision 2030 Study. Existing ...

Article GUID: 36375347

Author(s): Rjoub G; Wahab OA; Bentahar J; Cohen R; Bataineh AS;

In the context of distributed machine learning, the concept of federated learning (FL) has emerged as a solution to the privacy concerns that users have about sharing their own data with a third-party server. FL allows a group of users (often referred to as clients) to locally train a single machine learning model on their devices without sharing their ra ...

Article GUID: 35875592

Author(s): Khalilpourazari S, Hashemi Doulabi H

World Health Organization (WHO) stated COVID-19 as a pandemic in March 2020. Since then, 26,795,847 cases have been reported worldwide, and 878,963 lost their lives due to the illness by September 3, 2020. Prediction of the COVID-19 pandemic will enable policymakers to optimize the use of healthcare system capacity and resource allocation to minimize the ...

Article GUID: 33424076

Author(s): Mendoza JA, Lafferty CK, Yang AK, Britt JP

Cell Rep. 2019 Nov 05;29(6):1429-1437.e3 Authors: Mendoza JA, Lafferty CK, Yang AK, Britt JP

Article GUID: 31693885

Author(s): Bolenz F, Kool W, Reiter AM, Eppinger B

Elife. 2019 Aug 09;8: Authors: Bolenz F, Kool W, Reiter AM, Eppinger B

Article GUID: 31397670

Author(s): Bolenz F, Reiter AMF, Eppinger B

Front Psychol. 2017;8:2048 Authors: Bolenz F, Reiter AMF, Eppinger B

Article GUID: 29250006