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      Cognitive Control of Escape Behaviour

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          Abstract

          When faced with potential predators, animals instinctively decide whether there is a threat they should escape from, and also when, how, and where to take evasive action. While escape is often viewed in classical ethology as an action that is released upon presentation of specific stimuli, successful and adaptive escape behaviour relies on integrating information from sensory systems, stored knowledge, and internal states. From a neuroscience perspective, escape is an incredibly rich model that provides opportunities for investigating processes such as perceptual and value-based decision-making, or action selection, in an ethological setting. We review recent research from laboratory and field studies that explore, at the behavioural and mechanistic levels, how elements from multiple information streams are integrated to generate flexible escape behaviour.

          Highlights

          Escape behaviours are not only simple stimulus-reactions but are under cognitive control, allowing the study of processes such as decision-making and action selection in tractable organisms in ethological settings.

          Successful escape relies on integrating multiple external and internal variables, such as for computing flight trajectories towards shelter, and implementing trade-offs by choosing between actions that satisfy competing motivations.

          Some neural mechanisms of escape are innate and conserved across species, but are subject to control and modification by multiple systems, including the neocortex, which allow experience to be flexibly incorporated into escape behaviour.

          New tools to quantify behaviour while recording neural activity enable analysis of ethologically-relevant behaviours in complex environments, and will advance our understanding of the neural basis of natural behaviours.

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          Most cited references130

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          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.
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            Stress and Decision Making under the Risk of Predation: Recent Developments from Behavioral, Reproductive, and Ecological Perspectives

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              Midbrain circuits for defensive behaviour.

              Survival in threatening situations depends on the selection and rapid execution of an appropriate active or passive defensive response, yet the underlying brain circuitry is not understood. Here we use circuit-based optogenetic, in vivo and in vitro electrophysiological, and neuroanatomical tracing methods to define midbrain periaqueductal grey circuits for specific defensive behaviours. We identify an inhibitory pathway from the central nucleus of the amygdala to the ventrolateral periaqueductal grey that produces freezing by disinhibition of ventrolateral periaqueductal grey excitatory outputs to pre-motor targets in the magnocellular nucleus of the medulla. In addition, we provide evidence for anatomical and functional interaction of this freezing pathway with long-range and local circuits mediating flight. Our data define the neuronal circuitry underlying the execution of freezing, an evolutionarily conserved defensive behaviour, which is expressed by many species including fish, rodents and primates. In humans, dysregulation of this 'survival circuit' has been implicated in anxiety-related disorders.
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                Author and article information

                Contributors
                Journal
                Trends Cogn Sci
                Trends Cogn. Sci. (Regul. Ed.)
                Trends in Cognitive Sciences
                Elsevier Science
                1364-6613
                1879-307X
                1 April 2019
                April 2019
                : 23
                : 4
                : 334-348
                Affiliations
                [1 ]Sainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK
                [2 ]These authors contributed equally to this work
                Author notes
                [* ]Correspondence: t.branco@ 123456ucl.ac.uk
                Article
                S1364-6613(19)30040-3
                10.1016/j.tics.2019.01.012
                6438863
                30852123
                5ee6225a-b4d8-48e3-a327-13d544b69034
                © 2019 Elsevier Ltd. All rights reserved.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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                Article

                Neurosciences
                instinctive decisions,defence,threat,behavioural flexibility
                Neurosciences
                instinctive decisions, defence, threat, behavioural flexibility

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