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      Tactile Modulation of Whisking via the Brainstem Loop: Statechart Modeling and Experimental Validation

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          Abstract

          Rats repeatedly sweep their facial whiskers back and forth in order to explore their environment. Such explorative whisking appears to be driven by central pattern generators (CPGs) that operate independently of direct sensory feedback. Nevertheless, whisking can be modulated by sensory feedback, and it has been hypothesized that some of this modulation already occurs within the brainstem. However, the interaction between sensory feedback and CPG activity is poorly understood. Using the visual language of statecharts, a dynamic, bottom-up computerized model of the brainstem loop of the whisking system was built in order to investigate the interaction between sensory feedback and CPG activity during whisking behavior. As a benchmark, we used a previously quantified closed-loop phenomenon of the whisking system, touched-induced pump (TIP), which is thought to be mediated by the brainstem loop. First, we showed that TIPs depend on sensory feedback, by comparing TIP occurrence in intact rats with that in rats whose sensory nerve was experimentally cut. We then inspected several possible feedback mechanisms of TIPs using our model. The model ruled out all hypothesized mechanisms but one, which adequately simulated the corresponding motion observed in the rat. Results of the simulations suggest that TIPs are generated via sensory feedback that activates extrinsic retractor muscles in the mystacial pad. The model further predicted that in addition to the touching whisker, all whiskers found on the same side of the snout should exhibit a TIP. We present experimental results that confirm the predicted movements in behaving rats, establishing the validity of the hypothesized interaction between sensory feedback and CPG activity we suggest here for the generation of TIPs in the whisking system.

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          Most cited references41

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          Executable cell biology.

          Computational modeling of biological systems is becoming increasingly important in efforts to better understand complex biological behaviors. In this review, we distinguish between two types of biological models--mathematical and computational--which differ in their representations of biological phenomena. We call the approach of constructing computational models of biological systems 'executable biology', as it focuses on the design of executable computer algorithms that mimic biological phenomena. We survey the main modeling efforts in this direction, emphasize the applicability and benefits of executable models in biological research and highlight some of the challenges that executable biology poses for biology and computer science. We claim that for executable biology to reach its full potential as a mainstream biological technique, formal and algorithmic approaches must be integrated into biological research. This will drive biology toward a more precise engineering discipline.
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            Eye movements and the control of actions in everyday life.

            The patterns of eye movement that accompany static activities such as reading have been studied since the early 1900s, but it is only since head-mounted eye trackers became available in the 1980s that it has been possible to study active tasks such as walking, driving, playing ball games and ordinary everyday activities like food preparation. This review examines the ways that vision contributes to the organization of such activities, and in particular how eye movements are used to locate the information needed by the motor system in the execution of each act. Major conclusions are that the eyes are proactive, typically seeking out the information required in the second before each act commences, although occasional 'look ahead' fixations are made to establish the locations of objects for use further into the future. Gaze often moves on before the last act is complete, indicating the presence of an information buffer. Each task has a characteristic but flexible pattern of eye movements that accompanies it, and this pattern is similar between individuals. The eyes rarely visit objects that are irrelevant to the action, and the conspicuity of objects (in terms of low-level image statistics) is much less important than their role in the task. Gaze control may involve movements of eyes, head and trunk, and these are coordinated in a way that allows for both flexibility of movement and stability of gaze. During the learning of a new activity, the eyes first provide feedback on the motor performance, but as this is perfected they provide feed-forward direction, seeking out the next object to be acted upon.
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              Hierarchy of orofacial rhythms revealed through whisking and breathing.

              Whisking and sniffing are predominant aspects of exploratory behaviour in rodents. Yet the neural mechanisms that generate and coordinate these and other orofacial motor patterns remain largely uncharacterized. Here we use anatomical, behavioural, electrophysiological and pharmacological tools to show that whisking and sniffing are coordinated by respiratory centres in the ventral medulla. We delineate a distinct region in the ventral medulla that provides rhythmic input to the facial motor neurons that drive protraction of the vibrissae. Neuronal output from this region is reset at each inspiration by direct input from the pre-Bötzinger complex, such that high-frequency sniffing has a one-to-one relationship with whisking, whereas basal respiration is accompanied by intervening whisks that occur between breaths. We conjecture that the respiratory nuclei, which project to other premotor regions for oral and facial control, function as a master clock for behaviours that coordinate with breathing.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                27 November 2013
                : 8
                : 11
                : e79831
                Affiliations
                [1 ]Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
                [2 ]Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
                McGill University, Canada
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: TO EA. Performed the experiments: TO. Analyzed the data: DS EA. Contributed reagents/materials/analysis tools: GG. Wrote the paper: DS. Contributed experimental data: DD. Revised the manuscript: TO DD GG EA DH. Conceived and designed the model: DS EA DH. Built the model: DS.

                Article
                PONE-D-13-20002
                10.1371/journal.pone.0079831
                3842298
                24312186
                b2eedacd-f544-4d76-bb19-49a46a0ab71b
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 May 2013
                : 25 September 2013
                Page count
                Pages: 16
                Funding
                This work was supported by the Israel Science Foundation grant #749/10, the United States-Israel Binational Science Foundation (BSF) grant 2011243, the Estate of Irving and Toby Bieber and Lord David Alliance, CBE, and by Minerva Foundation funded by the Federal German Ministry for Education and Research. E.A. holds the Helen Diller Family Professorial Chair of Neurobiology. Video analysis was performed using the BIOTACT Whisker Tracking Tool, which was jointly created by the International School of Advanced Studies in Trieste, the University of Sheffield, and the Weizmann Institute in Rehovot, under the auspices of the FP7 BIOTACT project (ICT 215910). The authors are particularly grateful for the contributions of Igor Perkon and Goren Gordon to programming parts of the tracking tool. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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