Winthrop F. Gillis

ORCID: 0000-0002-1659-8639
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Research Areas
  • Neural dynamics and brain function
  • Zebrafish Biomedical Research Applications
  • Neuroscience and Neuropharmacology Research
  • Neurotransmitter Receptor Influence on Behavior
  • Neurobiology and Insect Physiology Research
  • Neuroendocrine regulation and behavior
  • Neurological disorders and treatments
  • Cell Image Analysis Techniques
  • Neuroscience and Neural Engineering
  • EEG and Brain-Computer Interfaces
  • Animal Behavior and Reproduction
  • Gene Regulatory Network Analysis
  • Evolutionary Game Theory and Cooperation
  • Biomedical Text Mining and Ontologies
  • Mental Health Research Topics
  • Complex Systems and Time Series Analysis
  • Neural and Behavioral Psychology Studies
  • Game Theory and Applications
  • Muscle activation and electromyography studies
  • Underwater Vehicles and Communication Systems
  • Advanced Vision and Imaging
  • Neurogenesis and neuroplasticity mechanisms
  • Neuroscience of respiration and sleep
  • Bat Biology and Ecology Studies
  • Neuroinflammation and Neurodegeneration Mechanisms

Harvard University
2017-2025

Boston University
2017

Abstract Spontaneous animal behaviour is built from action modules that are concatenated by the brain into sequences 1,2 . However, neural mechanisms guide composition of naturalistic, self-motivated remain unknown. Here we show dopamine systematically fluctuates in dorsolateral striatum (DLS) as mice spontaneously express sub-second behavioural modules, despite absence task structure, sensory cues or exogenous reward. Photometric recordings and calibrated closed-loop optogenetic...

10.1038/s41586-022-05611-2 article EN cc-by Nature 2023-01-18

Behavior is shaped by both the internal state of an animal and its individual behavioral biases. Rhythmic variation in gonadal hormones during estrous cycle a defining feature female state, one that regulates many aspects sociosexual behavior. However, it remains unclear whether influences spontaneous behavior and, if so, how these effects might relate to variation. Here, we address this question longitudinally characterizing open-field mice across different phases cycle, using unsupervised...

10.1016/j.cub.2023.02.035 article EN cc-by-nc-nd Current Biology 2023-03-07

Abstract Keypoint tracking algorithms have revolutionized the analysis of animal behavior, enabling investigators to flexibly quantify behavioral dynamics from conventional video recordings obtained in a wide variety settings. However, it remains unclear how parse continuous keypoint data into modules out which behavior is organized. This challenge particularly acute because susceptible high frequency jitter that clustering can mistake for transitions between modules. Here we present...

10.1101/2023.03.16.532307 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-03-17

Abstract Keypoint tracking algorithms can flexibly quantify animal movement from videos obtained in a wide variety of settings. However, it remains unclear how to parse continuous keypoint data into discrete actions. This challenge is particularly acute because are susceptible high-frequency jitter that clustering mistake for transitions between Here we present keypoint-MoSeq, machine learning-based platform identifying behavioral modules (‘syllables’) without human supervision....

10.1038/s41592-024-02318-2 article EN cc-by Nature Methods 2024-07-01

Epilepsy is a major disorder affecting millions of people. Although modern electrophysiological and imaging approaches provide high-resolution access to the multi-scale brain circuit malfunctions in epilepsy, our understanding how behavior changes with epilepsy has remained rudimentary. As result, screening for new therapies children adults devastating epilepsies still relies on inherently subjective, semi-quantitative assessment handful pre-selected behavioral signs animal models. Here, we...

10.1016/j.neuron.2023.02.003 article EN cc-by-nc-nd Neuron 2023-02-24

Objective. Most preparations for making neural recordings degrade over time and eventually fail due to insertion trauma reactive tissue response. The magnitudes of these responses are thought be related the electrode size (specifically, cross-sectional area), relative stiffness electrode, degree tolerance material. Flexible carbon fiber ultra-microelectrodes have a much smaller cross-section than traditional electrodes low reactivity, thus may enable improved longevity in central peripheral...

10.1088/1741-2552/aa8c88 article EN Journal of Neural Engineering 2017-09-14

Objective. The vision of bioelectronic medicine is to treat disease by modulating the signaling visceral nerves near various end organs. In small animal models, interest can have diameters and limited surgical access. New high-resolution methods for building nerve interfaces are desirable. this study, we present a novel interface demonstrate its use stimulation recording in nerves. Approach. We design fabricate micro-scale electrode-laden nanoclips capable interfacing with as 50 µm diameter....

10.1088/1741-2552/aa5a5b article EN Journal of Neural Engineering 2017-03-21

Granule cells (GCs) of the cerebellar input layer express high-affinity δ GABAA subunit-containing receptors (δGABAARs) that respond to ambient GABA levels and context-dependent neuromodulators like steroids. We find GC-specific deletion δGABAA (cerebellar [cb] knockout [KO]) decreases tonic inhibition, makes GCs hyperexcitable, in turn, leads differential activation cb output regions as well many cortical subcortical brain areas involved cognition, anxiety-like behaviors, stress response....

10.1016/j.celrep.2020.108338 article EN cc-by Cell Reports 2020-11-01

Abstract Spiny projection neurons (SPNs) in dorsal striatum are often proposed as a locus of reinforcement learning the basal ganglia. Here, we identify and resolve fundamental inconsistency between striatal models known SPN synaptic plasticity rules. Direct-pathway (dSPN) indirect-pathway (iSPN) neurons, which promote suppress actions, respectively, exhibit that reinforces activity associated with elevated or suppressed dopamine release. We show iSPN prevents successful learning, it...

10.1101/2024.02.14.580408 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-02-19

Spiny projection neurons (SPNs) in dorsal striatum are often proposed as a locus of reinforcement learning the basal ganglia. Here, we identify and resolve fundamental inconsistency between striatal models known SPN synaptic plasticity rules. Direct-pathway (dSPN) indirect-pathway (iSPN) neurons, which promote suppress actions, respectively, exhibit that reinforces activity associated with elevated or suppressed dopamine release. We show iSPN prevents successful learning, it patterns...

10.7554/elife.101747.2 preprint EN 2025-04-08

Spiny projection neurons (SPNs) in dorsal striatum are often proposed as a locus of reinforcement learning the basal ganglia. Here, we identify and resolve fundamental inconsistency between striatal models known SPN synaptic plasticity rules. Direct-pathway (dSPN) indirect-pathway (iSPN) neurons, which promote suppress actions, respectively, exhibit that reinforces activity associated with elevated or suppressed dopamine release. We show iSPN prevents successful learning, it patterns...

10.7554/elife.101747.3 article EN cc-by eLife 2025-05-08

Abstract A core goal in systems neuroscience and neuroethology is to understand how neural circuits generate naturalistic behavior. One foundational idea that complex behavior may be composed of sequences stereotyped behavioral syllables, which combine rich actions. To investigate this, a common approach use autoregressive hidden Markov models (ARHMMs) segment video into discrete syllables. While these approaches have been successful extracting syllables are interpretable, they fail account...

10.1101/2022.06.10.495690 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2022-06-13

Spontaneous mouse behavior is composed from repeatedly-used modules of movement (e.g., rearing, running, grooming) that are flexibly placed into sequences whose content evolves over time. By identifying behavioral and the order in which they expressed, researchers can gain insight impact drugs, genes, context, sensory stimuli neural activity on behavior. Here we present a protocol for performing Motion Sequencing (MoSeq), an ethologically-inspired method uses 3D machine vision unsupervised...

10.48550/arxiv.2211.08497 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01

Spiny projection neurons (SPNs) in dorsal striatum are often proposed as a locus of reinforcement learning the basal ganglia. Here, we identify and resolve fundamental inconsistency between striatal models known SPN synaptic plasticity rules. Direct-pathway (dSPN) indirect-pathway (iSPN) neurons, which promote suppress actions, respectively, exhibit that reinforces activity associated with elevated or suppressed dopamine release. We show iSPN prevents successful learning, it patterns...

10.7554/elife.101747 article EN 2024-12-06

Spiny projection neurons (SPNs) in dorsal striatum are often proposed as a locus of reinforcement learning the basal ganglia. Here, we identify and resolve fundamental inconsistency between striatal models known SPN synaptic plasticity rules. Direct-pathway (dSPN) indirect-pathway (iSPN) neurons, which promote suppress actions, respectively, exhibit that reinforces activity associated with elevated or suppressed dopamine release. We show iSPN prevents successful learning, it patterns...

10.7554/elife.101747.1 preprint EN 2024-12-06

Abstract Most preparations for making neural recordings degrade over time and eventually fail due to insertion trauma reactive tissue response. The magnitudes of these responses are thought be related the electrode size (specifically, cross-sectional area) relative stiffness material. Carbon fiber ultramicroelectrodes have a much smaller cross-section than traditional electrodes thus may enable improved longevity in central peripheral nervous systems. Only two carbon array designs been...

10.1101/123281 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2017-04-04
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