1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Neuronal Correlates of Strategic Cooperation in Monkeys

      research-article
      1 , 2 , 1 , 3 , 4
      Nature neuroscience

      Read this article at

      ScienceOpenPublisherPMC
      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

          We recorded neural activity in male monkeys playing a variant of the game “chicken” in which they made decisions to cooperate or not cooperate to obtain rewards of different sizes. Neurons in mid superior temporal sulcus (mSTS), previously implicated in social perception, signaled strategic information, including payoffs, other player’s intentions, reward outcomes, and predictions about the other player; a subpopulation of mSTS neurons selectively signaled cooperatively obtained rewards. Neurons in anterior cingulate gyrus (ACCg), previously implicated in vicarious reinforcement and empathy, carried less information about strategic variables, especially cooperative reward. Strategic signals were not reducible to perceptual information about the other player or motor contingencies. These findings suggest the capacity to compute models of other agents has deep roots in the strategic social behavior of primates and that ACCg and mSTS support these computations.

          Related collections

          Most cited references62

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

          Stan: A Probabilistic Programming Language

          Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. Stan is also a platform for computing log densities and their gradients and Hessians, which can be used in alternative algorithms such as variational Bayes, expectation propagation, and marginal inference using approximate integration. To this end, Stan is set up so that the densities, gradients, and Hessians, along with intermediate quantities of the algorithm such as acceptance probabilities, are easily accessible. Stan can be called from the command line using the cmdstan package, through R using the rstan package, and through Python using the pystan package. All three interfaces support sampling and optimization-based inference with diagnostics and posterior analysis. rstan and pystan also provide access to log probabilities, gradients, Hessians, parameter transforms, and specialized plotting.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Neurophysiological investigation of the basis of the fMRI signal.

            Functional magnetic resonance imaging (fMRI) is widely used to study the operational organization of the human brain, but the exact relationship between the measured fMRI signal and the underlying neural activity is unclear. Here we present simultaneous intracortical recordings of neural signals and fMRI responses. We compared local field potentials (LFPs), single- and multi-unit spiking activity with highly spatio-temporally resolved blood-oxygen-level-dependent (BOLD) fMRI responses from the visual cortex of monkeys. The largest magnitude changes were observed in LFPs, which at recording sites characterized by transient responses were the only signal that significantly correlated with the haemodynamic response. Linear systems analysis on a trial-by-trial basis showed that the impulse response of the neurovascular system is both animal- and site-specific, and that LFPs yield a better estimate of BOLD responses than the multi-unit responses. These findings suggest that the BOLD contrast mechanism reflects the input and intracortical processing of a given area rather than its spiking output.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The "Reading the Mind in the Eyes" Test Revised Version: A Study with Normal Adults, and Adults with Asperger Syndrome or High-functioning Autism

                Bookmark

                Author and article information

                Journal
                9809671
                21092
                Nat Neurosci
                Nat Neurosci
                Nature neuroscience
                1097-6256
                1546-1726
                30 October 2020
                23 November 2020
                January 2021
                23 May 2021
                : 24
                : 1
                : 116-128
                Affiliations
                [1. ]Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania
                [2. ]Department of Biostatistics and Bioinformatics, Duke University School of Medicine
                [3. ]Department of Psychology, School of Arts and Sciences, University of Pennsylvania
                [4. ]Marketing Department, Wharton School of Business, University of Pennsylvania
                Author notes
                Corresponding author, Wei Song Ong

                Author contributions

                WSO conceived and carried out the experiments and analyzed the data. SM-K designed the strategic-learning model. WSO and MLP wrote the manuscript with input from SM-K.

                Article
                NIHMS1640319
                10.1038/s41593-020-00746-9
                7929784
                33230321
                d55009bc-f77f-4ac5-bbd2-d7b8e4d238e9

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Categories
                Article

                Neurosciences
                Neurosciences

                Comments

                Comment on this article