@article {67199, title = {Flexible scaling and persistence of social vocal communication.}, journal = {Nature}, volume = {593}, year = {2021}, month = {2021 May 01}, pages = {108-13}, abstract = {

Innate vocal sounds such as laughing, screaming or crying convey one{\textquoteright}s feelings to others. In many species, including humans, scaling the amplitude and duration of vocalizations is essential for effective social communication. In mice, female scent triggers male mice to emit innate courtship ultrasonic vocalizations (USVs). However, whether mice flexibly scale their vocalizations and how neural circuits are structured to generate flexibility remain largely unknown. Here we identify mouse neurons from the lateral preoptic area (LPOA) that express oestrogen receptor 1 (LPOA neurons) and, when activated, elicit the complete repertoire of USV syllables emitted during natural courtship. Neural anatomy and functional data reveal a two-step, di-synaptic circuit motif in which primary long-range inhibitory LPOA neurons relieve a clamp of local periaqueductal grey (PAG) inhibition, enabling excitatory PAG USV-gating neurons to trigger vocalizations. We find that social context shapes a wide range of USV amplitudes and bout durations. This variability is absent when PAG neurons are stimulated directly; PAG-evoked vocalizations are time-locked to neural activity and stereotypically loud. By contrast, increasing the activity of LPOA neurons scales the amplitude of vocalizations, and delaying the recovery of the inhibition clamp prolongs USV bouts. Thus, the LPOA disinhibition motif contributes to flexible loudness and the duration and persistence of bouts, which are key aspects of effective vocal social communication.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03403-8}, author = {Chen, Jingyi and Markowitz, Jeffrey E and Lilascharoen, Varoth and Taylor, Sandra and Sheurpukdi, Pete and Keller, Jason A and Jensen, Jennifer R and Lim, Byung Kook and Datta, Sandeep Robert and Stowers, Lisa} } @article {66001, title = {Systems Neuroscience of Natural Behaviors in Rodents.}, journal = {Journal of Neuroscience}, volume = {41}, year = {2021}, month = {2021 Feb 03}, pages = {911-1}, abstract = {

Animals evolved in complex environments, producing a wide range of behaviors, including navigation, foraging, prey capture, and conspecific interactions, which vary over timescales ranging from milliseconds to days. Historically, these behaviors have been the focus of study for ecology and ethology, while systems neuroscience has largely focused on short timescale behaviors that can be repeated thousands of times and occur in highly artificial environments. Thanks to recent advances in machine learning, miniaturization, and computation, it is newly possible to study freely moving animals in more natural conditions while applying systems techniques: performing temporally specific perturbations, modeling behavioral strategies, and recording from large numbers of neurons while animals are freely moving. The authors of this review are a group of scientists with deep appreciation for the common aims of systems neuroscience, ecology, and ethology. We believe it is an extremely exciting time to be a neuroscientist, as we have an opportunity to grow as a field, to embrace interdisciplinary, open, collaborative research to provide new insights and allow researchers to link knowledge across disciplines, species, and scales. Here we discuss the origins of ethology, ecology, and systems neuroscience in the context of our own work and highlight how combining approaches across these fields has provided fresh insights into our research. We hope this review facilitates some of these interactions and alliances and helps us all do even better science, together.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.1877-20.2020}, author = {Dennis, Emily Jane and El Hady, Ahmed and Michaiel, Angie and Clemens, Ann and Gowan Tervo, Dougal R and Voigts, Jakob and Datta, Sandeep Robert} } @article {67853, title = {Systems Neuroscience of Natural Behaviors in Rodents}, journal = {Journal of Neuroscience}, volume = {41}, year = {2021}, month = {02/2021}, pages = {911{\textendash}919}, abstract = {

Animals evolved in complex environments, producing a wide range of behaviors, including navigation, foraging, prey capture, and conspecific interactions, which vary over timescales ranging from milliseconds to days. Historically, these behaviors have been the focus of study for ecology and ethology, while systems neuroscience has largely focused on short timescale behaviors that can be repeated thousands of times and occur in highly artificial environments. Thanks to recent advances in machine learning, miniaturization, and computation, it is newly possible to study freely moving animals in more natural conditions while applying systems techniques: performing temporally specific perturbations, modeling behavioral strategies, and recording from large numbers of neurons while animals are freely moving. The authors of this review are a group of scientists with deep appreciation for the common aims of systems neuroscience, ecology, and ethology. We believe it is an extremely exciting time to be a neuroscientist, as we have an opportunity to grow as a field, to embrace interdisciplinary, open, collaborative research to provide new insights and allow researchers to link knowledge across disciplines, species, and scales. Here we discuss the origins of ethology, ecology, and systems neuroscience in the context of our own work and highlight how combining approaches across these fields has provided fresh insights into our research. We hope this review facilitates some of these interactions and alliances and helps us all do even better science, together.

}, issn = {0270-6474}, doi = {10.1523/JNEUROSCI.1877-20.2020}, url = {https://www.jneurosci.org/content/41/5/911}, author = {Dennis, Emily Jane and El Hady, Ahmed and Michaiel, Angie and Clemens, Ann and Tervo, Dougal R. Gowan and Voigts, Jakob and Datta, Sandeep Robert} } @article {65179, title = {Computational neuroethology: A call to action.}, journal = {Neuron}, volume = {104}, year = {2019}, month = {2019 Oct 09}, pages = {11-24}, abstract = {

The brain is worthy of study because it is in charge of behavior. A flurry of recent technical advances in measuring and quantifying naturalistic behaviors provide an important opportunity for advancing brain science. However, the problem of understanding unrestrained behavior in the context of neural recordings and manipulations remains unsolved, and developing approaches to addressing this challenge is critical. Here we discuss considerations in computational neuroethology-the science of quantifying naturalistic behaviors for understanding the brain-and propose strategies to evaluate progress. We point to open questions that require resolution and call upon the broader systems neuroscience community to further develop and leverage measures of naturalistic, unrestrained behavior, which will enable us to more effectively probe the richness and complexity of the brain.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2019.09.038}, author = {Datta, Sandeep Robert and Anderson, David J and Branson, Kristin and Perona, Pietro and Leifer, Andrew} } @article {4295, title = {A dimorphic pheromone circuit in Drosophila from sensory input to descending output.}, journal = {Nature}, volume = {468}, year = {2010}, month = {2010 Dec 2}, pages = {686-90}, abstract = {

Drosophila show innate olfactory-driven behaviours that are observed in naive animals without previous learning or experience, suggesting that the neural circuits that mediate these behaviours are genetically programmed. Despite the numerical simplicity of the fly nervous system, features of the anatomical organization of the fly brain often confound the delineation of these circuits. Here we identify a neural circuit responsive to cVA, a pheromone that elicits sexually dimorphic behaviours. We have combined neural tracing using an improved photoactivatable green fluorescent protein (PA-GFP) with electrophysiology, optical imaging and laser-mediated microlesioning to map this circuit from the activation of sensory neurons in the antennae to the excitation of descending neurons in the ventral nerve cord. This circuit is concise and minimally comprises four neurons, connected by three synapses. Three of these neurons are overtly dimorphic and identify a male-specific neuropil that integrates inputs from multiple sensory systems and sends outputs to the ventral nerve cord. This neural pathway suggests a means by which a single pheromone can elicit different behaviours in the two sexes.

}, keywords = {Acetates, Animal, Animals, Arthropod Antennae, Drosophila melanogaster, Drosophila Proteins, Female, Male, Nerve Tissue Proteins, Neuroanatomical Tract-Tracing Techniques, Odors, Oleic Acids, Olfactory Pathways, Olfactory Perception, Pheromones, Physical Stimulation, Sensory Receptor Cells, Sex Characteristics, Sexual Behavior, Transcription Factors}, issn = {1476-4687}, doi = {10.1038/nature09554}, author = {Ruta, Vanessa and Datta, Sandeep Robert and Vasconcelos, Maria Lu{\'\i}sa and Freeland, Jessica and Looger, Loren L and Axel, Richard} }