Decision making is dependent upon individual motivation. Previous studies showed that animals with higher levels of motivation are more likely to invest more time to acquire larger rewards rather than acquiring smaller rewards with less time to wait. However, little is known about how this motivation mediates the cognitive effort animals devote upon making said decisions in detail. In the present study, we investigated the behavioral response in a goal-directed action under a differential reward schedule by training rats to perform a "Do more, get more" (DM-GM) task using a nosepoke operandum when longer nosepoke durations resulted in correspondingly larger rewards. In general, the subjects learned this DM-GM rule and reached a steady behavioral state within 15days. During the training stage, the rats found the most cost-effective action choice and behaved according to that guideline more frequently than other possible actions. In addition, when the cost-benefit ratio changed, the rats again found a new most cost-effective choice to obtain maximum rewards. Our results demonstrate that there is a "balance point" of cost and benefit in rat valuation system and that this "balance point" not only guides the rats to make the appropriate decision, but that this point can be modified upon new situations to choose a newer optimum action plan.
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http://dx.doi.org/10.1016/j.neulet.2016.08.054 | DOI Listing |
World J Urol
January 2025
Department of Urology, University of Health Sciences, Bagcilar Training and Research Hospital, Istanbul, 34200, Turkey.
Purpose: As Bladder EpiCheck (BE) is a promising urinary biomarker for diagnosis and follow up of non-muscle-invasive bladder cancer (NMIBC), there are no studies evaluated this tool for second transurethral resection (TUR) indication. We aim to evaluate the performance of BE in predicting residual tumor before second TUR in NMIBC and its effects on clinical decision making.
Methods: A total of 50 patients who were diagnosed with NMIBC and indicated for a second TUR were included in the study prospectively.
Neurophotonics
January 2025
Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Significance: Functional brain imaging experiments in awake animals require meticulous monitoring of animal behavior to screen for spontaneous behavioral events. Although these events occur naturally, they can alter cell signaling and hemodynamic activity in the brain and confound functional brain imaging measurements.
Aim: We developed a centralized, user-friendly, and stand-alone platform that includes an animal fixation frame, compact peripheral sensors, and a portable data acquisition system.
Gastro Hep Adv
October 2024
Albert Einstein College of Medicine, New York, New York.
Background And Aims: Current gastric cancer (GC) screening modalities are invasive and expensive. Noninvasive screening for GC precursors with serum pepsinogen (PG) may improve early detection and prevention. Test characteristics of PG based on US prospective data was recently reported and used to study the cost-effectiveness of PG screening vs no screening in the US.
View Article and Find Full Text PDFHeliyon
January 2025
Institute of Power Engineering, Riga Technical University, Azenes iela 12/1, Riga, LV, 1048, Latvia.
This paper addresses the participation of independent aggregators (IAs) for demand response (DR) in European electricity markets. An IA is an aggregator trading the flexibility of consumers of which it is not the electricity supplier. Particularly, we focus on the controversial issue of a compensation payment from the IA to the supplier for energy sourcing.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Architecture and Built Environment, University of Nottingham, NG7 2RD, UK.
The demand for engineered composites particularly fiberglass reinforced polymers (FRP) is gaining momentum. The manufacturing of virgin input-resins for these composites involves the use of certain materials which poses serious environmental implication. This study has exclusively applied and investigated the Grey Forecasting model for management of FRP waste in developing countries to minimize the virgin inputs and likely environmental impacts.
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