0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Adaptive decision-making depends on pupil-linked arousal in rats performing tactile discrimination tasks

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Abstract

          Perceptual decision-making is a dynamic cognitive process and is shaped by many factors, including behavioral state, reward contingency, and sensory environment. To understand the extent to which adaptive behavior in decision-making is dependent on pupil-linked arousal, we trained head-fixed rats to perform perceptual decision-making tasks and systematically manipulated the probability of Go and No-go stimuli while simultaneously measuring their pupil size in the tasks. Our data demonstrated that the animals adaptively modified their behavior in response to the changes in the sensory environment. The response probability to both Go and No-go stimuli decreased as the probability of the Go stimulus being presented decreased. Analyses within the signal detection theory framework showed that while the animals’ perceptual sensitivity was invariant, their decision criterion increased as the probability of the Go stimulus decreased. Simulation results indicated that the adaptive increase in the decision criterion will increase possible water rewards during the task. Moreover, the adaptive decision-making is dependent on pupil-linked arousal as the increase in the decision criterion was the largest during low pupil-linked arousal periods. Taken together, our results demonstrated that the rats were able to adjust their decision-making to maximize rewards in the tasks, and that adaptive behavior in perceptual decision-making is dependent on pupil-linked arousal.

          NEW & NOTEWORTHY Perceptual decision-making is a dynamic cognitive process and is shaped by many factors. However, the extent to which changes in sensory environment result in adaptive decision-making remains poorly understood. Our data provided new experimental evidence demonstrating that the rats were able to adaptively modify their decision criterion to maximize water reward in response to changes in the statistics of the sensory environment. Furthermore, the adaptive decision-making is dependent on pupil-linked arousal.

          Related collections

          Most cited references65

          • Record: found
          • Abstract: found
          • Article: not found

          DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

          Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be highly time consuming. In motor control studies, humans or other animals are often marked with reflective markers to assist with computer-based tracking, but markers are intrusive, and the number and location of the markers must be determined a priori. Here we present an efficient method for markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results with minimal training data. We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. Remarkably, even when only a small number of frames are labeled (~200), the algorithm achieves excellent tracking performance on test frames that is comparable to human accuracy.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance.

            Historically, the locus coeruleus-norepinephrine (LC-NE) system has been implicated in arousal, but recent findings suggest that this system plays a more complex and specific role in the control of behavior than investigators previously thought. We review neurophysiological and modeling studies in monkey that support a new theory of LC-NE function. LC neurons exhibit two modes of activity, phasic and tonic. Phasic LC activation is driven by the outcome of task-related decision processes and is proposed to facilitate ensuing behaviors and to help optimize task performance (exploitation). When utility in the task wanes, LC neurons exhibit a tonic activity mode, associated with disengagement from the current task and a search for alternative behaviors (exploration). Monkey LC receives prominent, direct inputs from the anterior cingulate (ACC) and orbitofrontal cortices (OFC), both of which are thought to monitor task-related utility. We propose that these frontal areas produce the above patterns of LC activity to optimize utility on both short and long timescales.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The neural basis of decision making.

              The study of decision making spans such varied fields as neuroscience, psychology, economics, statistics, political science, and computer science. Despite this diversity of applications, most decisions share common elements including deliberation and commitment. Here we evaluate recent progress in understanding how these basic elements of decision formation are implemented in the brain. We focus on simple decisions that can be studied in the laboratory but emphasize general principles likely to extend to other settings.
                Bookmark

                Author and article information

                Journal
                J Neurophysiol
                J Neurophysiol
                JN
                Journal of Neurophysiology
                American Physiological Society (Rockville, MD )
                0022-3077
                1522-1598
                1 December 2023
                15 November 2023
                15 November 2023
                : 130
                : 6
                : 1541-1551
                Affiliations
                [1]Department of Biomedical Engineering, Columbia University ( https://ror.org/00hj8s172) , New York City, New York, United States
                Author notes
                Correspondence: Q. Wang ( qi.wang@ 123456columbia.edu ).
                Author information
                https://orcid.org/0000-0001-7224-9890
                https://orcid.org/0000-0001-8656-1439
                Article
                JN-00309-2022 JN-00309-2022
                10.1152/jn.00309.2022
                11068411
                37964751
                f109d17c-8e2e-4cc6-a266-e1da7f826e18
                Copyright © 2023 The Authors.

                Licensed under Creative Commons Attribution CC-BY 4.0. Published by the American Physiological Society.

                History
                : 22 July 2022
                : 8 November 2023
                : 9 November 2023
                Funding
                Funded by: DOD | Air Force Office of Scientific Research (AFOSR), doi 10.13039/100000181;
                Award ID: FA9550-22-1-0337
                Award Recipient : Qi Wang
                Funded by: HHS | NIH | National Institute of Mental Health (NIMH), doi 10.13039/100000025;
                Award ID: R01MH112267
                Award Recipient : Qi Wang
                Funded by: HHS | NIH | National Institute of Mental Health (NIMH), doi 10.13039/100000025;
                Award ID: R21MH125107
                Award Recipient : Qi Wang
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS), doi 10.13039/100000065;
                Award ID: R01NS119813
                Award Recipient : Qi Wang
                Categories
                Research Article
                Higher Neural Functions and Behavior

                Neurology
                adaptive decision-making,behavioral adaptation,drift diffusion model,go/no-go tactile discrimination task,pupil-linked arousal

                Comments

                Comment on this article