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Mirror Neurons (MNs) respond similarly when primates make or observe grasping movements. Recent work indicates that reward expectation influences rostral M1 (rM1) during manual, observational, and Brain Machine Interface (BMI) reaching movements. Previous work showed MNs are modulated by subjective value. Here we expand on the above work utilizing two non-human primates (NHPs), one male Macaca Radiata (NHP S) and one female Macaca Mulatta (NHP P), that were trained to perform a cued reward level isometric grip-force task, where the NHPs had to apply visually cued grip-force to move and transport a virtual object. We found a population of (S1 area 1-2, rM1, PMd, PMv) units that significantly represented grip-force during manual and observational trials. We found the neural representation of visually cued force was similar during observational trials and manual trials for the same units; however, the representation was weaker during observational trials. Comparing changes in neural time lags between manual and observational tasks indicated that a subpopulation fit the standard MN definition of observational neural activity lagging the visual information. Neural activity in (S1 areas 1-2, rM1, PMd, PMv) significantly represented force and reward expectation. In summary, we present results indicating that sensorimotor cortices have MNs for visually cued force and value.
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http://dx.doi.org/10.1038/s41598-021-95536-z | DOI Listing |
Behav Brain Res
September 2025
École de psychologie, Université de Moncton, Faculté des sciences de la santé et des services communautaires. Electronic address:
During Pavlovian conditioning, Sign-Tracker (ST), Goal-Tracker (GT), and Intermediate (IN) phenotypes emerge, as characterized by the degree to which an individual attributes incentive salience to reward-associated cues. These operationally defined phenotypes differ in other respects: In human studies, STs tend to favor bottom-up attention, while GTs tend to favor top-down attention. There is some limited evidence that rats exhibit similar patterns during Pavlovian conditioning.
View Article and Find Full Text PDFConscious Cogn
September 2025
School of Psychology, Shaanxi Normal University, Xi'an 710062, China; Shaanxi Provincial Key Laboratory of Behavior & Cognitive Neuroscience, Xi'an 710062, China. Electronic address:
Flexibly inhibiting inappropriate responses based on current goals and past experiences is crucial. The dual-mechanism of control (DMC) model proposes that cognitive control involves proactive (expectation-driven) and reactive (stimulus-driven, such as reward history) control. However, how these mechanisms interact during inhibitory control remains unclear.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Psychology, University of Amsterdam, Amsterdam 1018 WS, The Netherlands.
Decision making and learning processes together enable adaptive strategic behavior. Animal studies demonstrated the importance of subcortical regions in these cognitive processes, but the human subcortical contributions remain poorly characterized. Here, we study choice and learning processes in the human subcortex, using a tailored ultra-high field 7T functional MRI protocol combined with joint models.
View Article and Find Full Text PDFClinical apathy might result from either a diminished willingness to exert effort for known rewards or from reduced motivation to explore potentially beneficial future opportunities. To identify the underlying cognitive and neural bases of apathy, we used task-based fMRI to examine motivated choice computations in patients with chronic traumatic brain injury (TBI)-a condition frequently associated with apathy-and compared their behavior and neural activity to that of healthy controls (CTRLs). Participants performed two choice tasks involving distinct types of motivational tradeoffs: i) An effort-value tradeoff task (the 'Apples Task') requiring them to decide how much physical effort they were willing to exert for varying reward magnitudes, and ii) An explore-exploit tradeoff task (the 'Novelty-Bandit Task') requiring them to choose between exploiting options with a known history of reward or exploring novel options with uncertain but potentially higher future value.
View Article and Find Full Text PDFPLoS One
September 2025
Institut für Theoretische Physik, Universität Innsbruck, Innsbruck, Austria.
In the last decade, the free energy principle (FEP) and active inference (AIF) have achieved many successes connecting conceptual models of learning and cognition to mathematical models of perception and action. This effort is driven by a multidisciplinary interest in understanding aspects of self-organizing complex adaptive systems, including elements of agency. Various reinforcement learning (RL) models performing active inference have been proposed and trained on standard RL tasks using deep neural networks.
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