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      Digitally embodied lifespan neurocognitive development and Tactile Internet: Transdisciplinary challenges and opportunities

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          Abstract

          Mechanisms underlying perceptual processing and inference undergo substantial changes across the lifespan. If utilized properly, technologies could support and buffer the relatively more limited neurocognitive functions in the still developing or aging brains. Over the past decade, a new type of digital communication infrastructure, known as the “Tactile Internet (TI),” is emerging in the fields of telecommunication, sensor and actuator technologies and machine learning. A key aim of the TI is to enable humans to experience and interact with remote and virtual environments through digitalized multimodal sensory signals that also include the haptic (tactile and kinesthetic) sense. Besides their applied focus, such technologies may offer new opportunities for the research tapping into mechanisms of digitally embodied perception and cognition as well as how they may differ across age cohorts. However, there are challenges in translating empirical findings and theories about neurocognitive mechanisms of perception and lifespan development into the day-to-day practices of engineering research and technological development. On the one hand, the capacity and efficiency of digital communication are affected by signal transmission noise according to Shannon’s (1949) Information Theory. On the other hand, neurotransmitters, which have been postulated as means that regulate the signal-to-noise ratio of neural information processing (e.g., Servan-Schreiber et al., 1990), decline substantially during aging. Thus, here we highlight neuronal gain control of perceptual processing and perceptual inference to illustrate potential interfaces for developing age-adjusted technologies to enable plausible multisensory digital embodiments for perceptual and cognitive interactions in remote or virtual environments.

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          Most cited references102

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          Communication in the Presence of Noise

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            Inverted-U-shaped dopamine actions on human working memory and cognitive control.

            Brain dopamine (DA) has long been implicated in cognitive control processes, including working memory. However, the precise role of DA in cognition is not well-understood, partly because there is large variability in the response to dopaminergic drugs both across different behaviors and across different individuals. We review evidence from a series of studies with experimental animals, healthy humans, and patients with Parkinson's disease, which highlight two important factors that contribute to this large variability. First, the existence of an optimum DA level for cognitive function implicates the need to take into account baseline levels of DA when isolating the effects of DA. Second, cognitive control is a multifactorial phenomenon, requiring a dynamic balance between cognitive stability and cognitive flexibility. These distinct components might implicate the prefrontal cortex and the striatum, respectively. Manipulating DA will thus have paradoxical consequences for distinct cognitive control processes, depending on distinct basal or optimal levels of DA in different brain regions. Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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              Humans integrate visual and haptic information in a statistically optimal fashion.

              When a person looks at an object while exploring it with their hand, vision and touch both provide information for estimating the properties of the object. Vision frequently dominates the integrated visual-haptic percept, for example when judging size, shape or position, but in some circumstances the percept is clearly affected by haptics. Here we propose that a general principle, which minimizes variance in the final estimate, determines the degree to which vision or haptics dominates. This principle is realized by using maximum-likelihood estimation to combine the inputs. To investigate cue combination quantitatively, we first measured the variances associated with visual and haptic estimation of height. We then used these measurements to construct a maximum-likelihood integrator. This model behaved very similarly to humans in a visual-haptic task. Thus, the nervous system seems to combine visual and haptic information in a fashion that is similar to a maximum-likelihood integrator. Visual dominance occurs when the variance associated with visual estimation is lower than that associated with haptic estimation.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                10 February 2023
                2023
                : 17
                : 1116501
                Affiliations
                [1] 1Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden , Dresden, Germany
                [2] 2Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden , Dresden, Germany
                [3] 3Deutsche Telekom Chair of Communication Networks, Faculty of Electrical and Computer Engineering, Technische Universität Dresden , Dresden, Germany
                Author notes

                Edited by: Christos Frantzidis, University of Lincoln, United Kingdom

                Reviewed by: Panteleimon Chriskos, Aristotle University of Thessaloniki, Greece; Martin Maier, Institut National de Recherche et de Sécurité (INRS), France

                *Correspondence: Shu-Chen Li, shu-chen.li@ 123456tu-dresden.de

                This article was submitted to Cognitive Neuroscience, a section of the journal Frontiers in Human Neuroscience

                Article
                10.3389/fnhum.2023.1116501
                9950571
                36845878
                02afb91a-8847-42aa-89f8-05eb5f12210a
                Copyright © 2023 Li and Fitzek.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 December 2022
                : 26 January 2023
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 102, Pages: 9, Words: 7571
                Funding
                Funded by: Deutsche Forschungsgemeinschaft, doi 10.13039/501100001659;
                Award ID: EXC 2050/1
                Funded by: Bundesministerium für Bildung und Forschung, doi 10.13039/501100002347;
                S-CL and FF are funded by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) as part of Germany’s Excellence Strategy – EXC 2050/1 – Project ID 390696704 – Cluster of Excellence “Centre for Tactile Internet with Human-in-the-Loop (CeTI)” of Technische Universität Dresden and by the Federal Ministry of Education and Research of Germany in the programme of “Souverän. Digital. Vernetzt.” Joint project 6G-life, project identification number: 16KISK001K. This publication was funded by the joint publication fund of the TU Dresden, the Medical Faculty Carl Gustav Carus, and the SLUB Dresden.
                Categories
                Neuroscience
                Perspective

                Neurosciences
                development,neuromodulation,signal-to-noise,perception,multisensory,sensory augmentation,tactile internet,aging

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