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 direc ...
Article GUID: 29066078
Author(s): Ndiaye NA; Shamleh SA; Casale D; Castaneda-Ouellet S; Laplante I; Robinson MJF; Samaha AN; ...
Rationale: When people with drug addiction encounter cues associated with drug use, this can trigger cravings and relapse. These cues can include conditioned stimuli (CSs) signaling drug delivery a ...
Article GUID: 38767684
Author(s): W Spencer Murch
The post-reinforcement pause (PRP) is an operant effect in which response latencies increase on trials following the receipt and consumption of reward. Human studies demonstrate analogous effects in electronic gambling machines that utilise random ratio rei ...
Article GUID: 38429228
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 dopa ...
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 ...
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 ...
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, a ...
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 ...
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 ...
Article GUID: 35875592
Author(s): Ruel A; Bolenz F; Li SC; Fischer A; Eppinger B;
Under high cognitive demands, older adults tend to resort to simpler, habitual, or model-free decision strategies. This age-related shift in decision behavior has been attributed to deficits in the representation of the cognitive maps, or state spaces, nece ...
Article GUID: 35510942
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 pol ...
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
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