Understanding the neural mechanisms involved in learning processes is crucial for unraveling the complexities of behavior and cognition. Sudden change from the untrained level to the fully-learned level is a pivotal feature of instrumental learning. However, the concept of change point and suitable methods to conveniently analyze the characteristics of sudden change in groups remain elusive, which might hinder a fuller understanding of the neural mechanism underlying dynamic leaning process. In the current study, we investigated the learning processes of mice that were trained in an aversive instrumental learning task, and introduced a novel strategy to analyze behavioral variations in instrumental learning, leading to improved clarity on the concept of sudden change and enabling comprehensive group analysis. By applying this novel strategy, we examined the effects of cocaine and a cannabinoid receptor agonist on instrumental learning. Intriguingly, our analysis revealed significant differences in timing and occurrence of sudden changes that were previously overlooked using traditional analysis. Overall, our research advances understanding of behavioral variation during instrumental learning and the interplay between learning behaviors and neurotransmitter systems, contributing to a deeper comprehension of learning processes and informing future investigations and therapeutic interventions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.bbr.2024.114915 | DOI Listing |
J Environ Manage
December 2024
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. Electronic address:
The longevity of the natural environment is fundamental for sustainable production and consumption. The circular economy conserves natural resources, ensures sustainable production and consumption, and protects the natural environment. The role of circular innovations, particularly the carrying capacity of nature, is ignored in literature.
View Article and Find Full Text PDFPhilos Trans A Math Phys Eng Sci
December 2024
Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) UIB-CSIC, Campus Universitat Illes Balears, Palma de Mallorca 07122, Spain.
Quantum optical networks are instrumental in addressing the fundamental questions and enable applications ranging from communication to computation and, more recently, machine learning (ML). In particular, photonic artificial neural networks (ANNs) offer the opportunity to exploit the advantages of both classical and quantum optics. Photonic neuro-inspired computation and ML have been successfully demonstrated in classical settings, while quantum optical networks have triggered breakthrough applications such as teleportation, quantum key distribution and quantum computing.
View Article and Find Full Text PDFInt J Clin Health Psychol
December 2024
Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Previous research has found that compulsions in obsessive-compulsive disorder (OCD) are associated with an imbalance between goal-directed and habitual responses. However, the cognitive mechanisms underlying how goal-directed and habitual behaviors are learned, and how these learning deficits affect the response process, remain unclear. The present study aimed to investigate these cognitive mechanisms and examine how they were involved in the mechanism of compulsions.
View Article and Find Full Text PDFCureus
November 2024
Biostatistics, The Oxford Center, Brighton, USA.
Severe traumatic brain injury (TBI) poses significant public health challenges, but treatments like neurofeedback and hyperbaric oxygen therapy (HBOT) show promise in aiding recovery. Neurofeedback enhances brain healing through operant conditioning, while HBOT increases cerebral oxygenation, supporting cognitive recovery. A 33-year-old woman, after suffering a severe TBI in 2018 and a long rehabilitation, began HBOT and neurofeedback in late 2021.
View Article and Find Full Text PDFJ Neurosci
December 2024
Center for studies and research in Cognitive Neuroscience, Department of Psychology, University of Bologna, Cesena, Italy.
Reward-predictive cues can affect decision-making by enhancing instrumental responses towards the same (Specific transfer) or similar (General transfer) rewards. The main theories on cue-guided decision-making consider Specific transfer as driven by the activation of previously learned instrumental actions induced by cues sharing the sensory-specific properties of the reward they are associated with. However, to date, such theoretical assumption has never been directly investigated at the neural level.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!