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      Flexible motor sequence generation during stereotyped escape responses

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          Abstract

          Complex animal behaviors arise from a flexible combination of stereotyped motor primitives. Here we use the escape responses of the nematode Caenorhabditis elegans to study how a nervous system dynamically explores the action space. The initiation of the escape responses is predictable: the animal moves away from a potential threat, a mechanical or thermal stimulus. But the motor sequence and the timing that follow are variable. We report that a feedforward excitation between neurons encoding distinct motor states underlies robust motor sequence generation, while mutual inhibition between these neurons controls the flexibility of timing in a motor sequence. Electrical synapses contribute to feedforward coupling whereas glutamatergic synapses contribute to inhibition. We conclude that C. elegans generates robust and flexible motor sequences by combining an excitatory coupling and a winner-take-all operation via mutual inhibition between motor modules.

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          Most cited references48

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          An optimized fluorescent probe for visualizing glutamate neurotransmission

          We describe an intensity-based glutamate-sensing fluorescent reporter (“iGluSnFR”) with signal-to-noise ratio and kinetics appropriate for in vivo imaging. We engineered iGluSnFR in vitro to maximize its fluorescence change, and validated its utility for visualizing glutamate release by neurons and astrocytes in increasingly intact neurological systems. In hippocampal culture, iGluSnFR detected single field stimulus-evoked glutamate release events. In pyramidal neurons in acute brain slices, glutamate uncaging at single spines showed that iGluSnFR responds robustly and specifically to glutamate in situ, and responses correlate with voltage changes. In mouse retina, iGluSnFR-expressing neurons showed intact light-evoked excitatory currents, and the sensor revealed tonic glutamate signaling in response to light stimuli. In worms, glutamate signals preceded and predicted post-synaptic calcium transients. In zebrafish, iGluSnFR revealed spatial organization of direction-selective synaptic activity in the optic tectum. Finally, in mouse forelimb motor cortex, iGluSnFR expression in layer V pyramidal neurons revealed task-dependent single-spine activity during running.
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            Choice-specific sequences in parietal cortex during a virtual-navigation decision task

            The posterior parietal cortex (PPC) plays an important role in many cognitive behaviors; however, the neural circuit dynamics underlying PPC function are not well understood. Here we optically imaged the spatial and temporal activity patterns of neuronal populations in mice performing a PPC-dependent task that combined a perceptual decision and memory-guided navigation in a virtual environment. Individual neurons had transient activation staggered relative to one another in time, forming a sequence of neuronal activation spanning the entire length of a task trial. Distinct sequences of neurons were triggered on trials with opposite behavioral choices and defined divergent, choice-specific trajectories through a state space of neuronal population activity. Cells participating in the different sequences and at distinct time points in the task were anatomically intermixed over microcircuit length scales (< 100 micrometers). During working memory decision tasks the PPC may therefore perform computations through sequence-based circuit dynamics, rather than long-lived stable states, implemented using anatomically intermingled microcircuits.
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              Reliability of spike timing in neocortical neurons

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                Author and article information

                Journal
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                June 05 2020
                June 05 2020
                : 9
                Affiliations
                [1 ]Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
                [2 ]School of Life Sciences, University of Science and Technology of China, Hefei, China
                [3 ]Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
                [4 ]Neurobiology, University of Massachusetts Medical School, Worcester, United States
                [5 ]Chinese Academy of Sciences Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Hefei, China
                [6 ]School of Physical Sciences, University of Science and Technology of China, Hefei, China
                [7 ]Department of Neurobiology, University of Massachusetts Medical School, Worcester, United States
                [8 ]Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, Canada
                [9 ]Hefei National Laboratory for Physical Sciences at Microscale, University of Science and Technology of China, Hefei, China
                Article
                10.7554/eLife.56942
                3e59e691-d101-4e0f-8890-4e209659ce6c
                © 2020

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

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