B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors

Nature Communications, Год журнала: 2021, Номер 12(1)

Опубликована: Авг. 31, 2021

Abstract Studying naturalistic animal behavior remains a difficult objective. Recent machine learning advances have enabled limb localization; however, extracting behaviors requires ascertaining the spatiotemporal patterns of these positions. To provide link from poses to actions and their kinematics, we developed B-SOiD - an open-source, unsupervised algorithm that identifies without user bias. By training classifier on pose pattern statistics clustered using new methods, our approach achieves greatly improved processing speed ability generalize across subjects or labs. Using frameshift alignment paradigm, overcomes previous temporal resolution barriers. only single, off-the-shelf camera, provides categories sub-action for trained kinematic measures individual trajectories in any model. These behavioral are but critical obtain, particularly study rodent other models pain, OCD, movement disorders.

Язык: Английский

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Circuit Investigations With Open-Source Miniaturized Microscopes: Past, Present and Future

Frontiers in Cellular Neuroscience, Год журнала: 2019, Номер 13

Опубликована: Апрель 5, 2019

The ability to simultaneously image the spatiotemporal activity signatures from many neurons during unrestrained vertebrate behaviors has become possible through development of miniaturized fluorescence microscopes, or miniscopes, sufficiently light be carried by small animals such as bats, birds and rodents. Miniscopes have permitted study circuits underlying song vocalization, action sequencing, head-direction tuning, spatial memory encoding sleep name a few. foundation for these microscopes been laid over last two decades academic research with some this work resulting in commercialization. More recently, open-source initiatives led an even broader adoption miniscopes neuroscience community. Open-source designs allow rapid modification extension their function, which resulted new generation that now permit wire-free wireless recording, concurrent electrophysiology imaging, two-color detection, simultaneous optical actuation read-out well wide-field volumetric light-field imaging. These novel will further expand toolset those seeking affordable methods probe neural circuit function naturalistic behaviors. Here, we discuss early development, present use future potential miniscopes.

Язык: Английский

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Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment

Cell, Год журнала: 2021, Номер 184(10), С. 2733 - 2749.e16

Опубликована: Апрель 16, 2021

Язык: Английский

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The Meaning of Behavior: Discriminating Reflex and Volition in the Brain

Neuron, Год журнала: 2019, Номер 104(1), С. 47 - 62

Опубликована: Окт. 1, 2019

Язык: Английский

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A hypothalamus-habenula circuit controls aversion

Molecular Psychiatry, Год журнала: 2019, Номер 24(9), С. 1351 - 1368

Опубликована: Фев. 12, 2019

Encoding and predicting aversive events are critical functions of circuits that support survival emotional well-being. Maladaptive circuit changes in valence processing can underlie the pathophysiology affective disorders. The lateral habenula (LHb) has been linked to aversion mood regulation through modulation dopamine serotonin systems. We have defined identity function glutamatergic (Vglut2) control LHb, comparing role inputs originating globus pallidus internal segment (GPi), hypothalamic area (LHA), respectively. found LHb-projecting LHA neurons, not proposed GABA/glutamate co-releasing GPi responsible for encoding negative value. Monosynaptic rabies tracing presynaptic organization revealed a predominantly limbic input onto Vglut2 while sensorimotor were more prominent neurons. further recorded activity by imaging calcium dynamics response appetitive versus conditioning paradigms. neurons formed clusters representing distinct reward or signals, including population responded mild foot shocks predicted events. encode rapidly develop prediction signal These findings establish LHA-LHb as node value processing.

Язык: Английский

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Dorsal Striatal Circuits for Habits, Compulsions and Addictions

Frontiers in Systems Neuroscience, Год журнала: 2019, Номер 13

Опубликована: Июль 18, 2019

Here, we review the neural circuit bases of habits, compulsions, and addictions, behaviors which are all characterized by relatively automatic action performance. We discuss relevant studies, primarily from rodent literature, describe how major headway has been made in identifying brain regions cell types whose activity is modulated during acquisition performance these automated behaviors. The dorsal striatum cortical inputs to this structure have emerged as key players wider basal ganglia circuitry encoding behavioral automaticity, changes different neuronal cell-types shown co-occur with formation highlight disordered functioning circuits can result neuropsychiatric disorders, such obsessive-compulsive disorder (OCD) drug addiction. Finally, next phase research field may benefit integration approaches for access cells based on their genetic makeup, activity, connectivity precise anatomical location.

Язык: Английский

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Networking brainstem and basal ganglia circuits for movement

Nature reviews. Neuroscience, Год журнала: 2022, Номер 23(6), С. 342 - 360

Опубликована: Апрель 14, 2022

Язык: Английский

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Towards real-world generalizability of a circuit for action-stopping

Nature reviews. Neuroscience, Год журнала: 2021, Номер 22(9), С. 538 - 552

Опубликована: Июль 29, 2021

Язык: Английский

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Fluorescence imaging of large-scale neural ensemble dynamics

Cell, Год журнала: 2022, Номер 185(1), С. 9 - 41

Опубликована: Янв. 1, 2022

Язык: Английский

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Motor learning selectively strengthens cortical and striatal synapses of motor engram neurons

Neuron, Год журнала: 2022, Номер 110(17), С. 2790 - 2801.e5

Опубликована: Июль 8, 2022

Learning and consolidation of new motor skills require plasticity in the cortex striatum, two key regions brain. However, how neurons undergo synaptic changes become recruited during learning to form a memory engram remains unknown. Here, we train mice on task use genetic approach identify manipulate behavior-relevant selectively primary (M1). We find that degree M1 neuron reactivation correlates with performance. further demonstrate learning-induced dendritic spine reorganization specifically occurs these neurons. In addition, leads an increase strength outputs onto striatal spiny projection (SPNs) synapses clusters along SPN dendrites. These results highly specific formation long-lasting traces corticostriatal circuit.

Язык: Английский

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