Tyraminergic corollary discharge filters reafferent perception in a chemosensory neuron

Riedl, Julia; Fieseler, Charles; Zimmer, Manuel

doi:10.1016/j.cub.2022.05.051

Cited by 6 publications

(6 citation statements)

References 80 publications

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“…What we found was even more nuanced and supports recent reports of the context-dependent function of BAG (Riedl et al, 2022). In the per-worm models, BAGL and BAGR were strongly present in DOs that were only active in the second half of the trials (alternative oxygen levels) in more than half of the worms and in DOs that were mostly active in the second half in more than a third of the worms (Supplementary Figs.…”

Section: Resultssupporting

confidence: 91%

“…Here we use the recently developed framework of decomposed linear dynamical systems (dLDS) to uncover simultaneous time-varying neural processes co-occurring during a sensorimotor C. elegans behavior. By interpreting directional dynamics in the latent state via their effects in the natural neural space, we reveal evidence in “whole brain” C. elegans calcium imaging data (Kato et al, 2015) of context-dependent BAG neuron sensitivity that was only recently shown experimentally (Riedl et al, 2022), and we highlight context-dependent activity of neurons, such as the RME neurons that may be a target for further experimentation.…”

Section: Discussion Limitations and Future Workmentioning

confidence: 89%

“…Indeed, most of the connection values appear to be negative. Moreover, the stronger second-half bias of BAG-featuring DOs could be highlighting an additional, true nonstationary BAGL/R response to hypoxia, not just to the base rates of forward crawling, while still being context-dependent on forward crawling to be active because, as Riedl et al (2022) showed, BAG neurons recognize self-produced carbon dioxide when crawling backward and their response is suppressed.…”

Section: Discussion Limitations and Future Workmentioning

confidence: 98%

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Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity inC. elegans

Yezerets,

Mudrik,

Charles

2024

Preprint

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Despite innumerable efforts to characterizeC. elegansneural activity and behavior, the roles of each individual neuron and the compositional mechanisms of all their interactions are still not completely known. In particular, there is evidence thatC. elegansneurons perform changing roles over time, in different behavioral contexts, etc.; however, existing stationary anatomical and functional connectivity can average across time and obfuscate the nonstationary nature of the neural dynamics. We contribute to these efforts by leveraging recent advances in decomposed linear dynamical systems (dLDS) models. dLDS models neural dynamics in a latent space with a set of linear operators that can be recombined and reused over time, enabling the discovery of multiple parallel neural processes on different timescales. We leverage the ability to identify reused patterns of dynamical neural interactions, which we call “dynamical connectivity,” to 1) identify contextually dependent roles of neurons; 2) discover the underlying variability of neural representations even under discrete behaviors; 3) quantify differences between anatomical, functional, and dynamical connectivity; and 4) learn a single aligned latent space underlying multiple individual worms’ activity. These results highlight the importance of defining a neuron’s functions not solely by its internal activity or place in a time-averaged network, but by its evolving interactions across context-dependent circuits.

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Section: Resultssupporting

confidence: 91%

Section: Discussion Limitations and Future Workmentioning

confidence: 89%

Section: Discussion Limitations and Future Workmentioning

confidence: 98%

See 1 more Smart Citation

Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity inC. elegans

Yezerets,

Mudrik,

Charles

2024

Preprint

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“…In mouse, fly and C. elegans, regions across the brain exhibit activity patterns related to the animal's locomotory state and body pose [22][23][24][25]. A leading hypothesis is that these motor signals may be important to modulate sensory representations including but not limited to vision [26], thermosensation [27], or corollary discharge [27][28][29]. In this study, we sought to investigate how locomotory signals interact on short timescales with downstream mechanosensoryrelated signals to modulate mechanosensory processing.…”

Section: Open Accessmentioning

confidence: 99%

“…More broadly, we show that motor-related signals are directly influencing neural activity in areas that contain a mix of sensory and motor information. This is reminiscent of saccadic suppression in vision [56][57][58] and corollary discharge [27][28][29] in which motor-related activity modulates or impinges upon sensory representations. Our findings add to a growing body of evidence suggesting that behavior information is necessary for sensory processing.…”

Section: Plos Biologymentioning

confidence: 99%

Inhibitory feedback from the motor circuit gates mechanosensory processing in Caenorhabditis elegans

Kumar,

Sharma,

Tran

et al. 2023

PLoS Biol

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Animals must integrate sensory cues with their current behavioral context to generate a suitable response. How this integration occurs is poorly understood. Previously, we developed high-throughput methods to probe neural activity in populations of Caenorhabditis elegans and discovered that the animal’s mechanosensory processing is rapidly modulated by the animal’s locomotion. Specifically, we found that when the worm turns it suppresses its mechanosensory-evoked reversal response. Here, we report that C. elegans use inhibitory feedback from turning-associated neurons to provide this rapid modulation of mechanosensory processing. By performing high-throughput optogenetic perturbations triggered on behavior, we show that turning-associated neurons SAA, RIV, and/or SMB suppress mechanosensory-evoked reversals during turns. We find that activation of the gentle-touch mechanosensory neurons or of any of the interneurons AIZ, RIM, AIB, and AVE during a turn is less likely to evoke a reversal than activation during forward movement. Inhibiting neurons SAA, RIV, and SMB during a turn restores the likelihood with which mechanosensory activation evokes reversals. Separately, activation of premotor interneuron AVA evokes reversals regardless of whether the animal is turning or moving forward. We therefore propose that inhibitory signals from SAA, RIV, and/or SMB gate mechanosensory signals upstream of neuron AVA. We conclude that C. elegans rely on inhibitory feedback from the motor circuit to modulate its response to sensory stimuli on fast timescales. This need for motor signals in sensory processing may explain the ubiquity in many organisms of motor-related neural activity patterns seen across the brain, including in sensory processing areas.

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Brain-wide representations of behavior spanning multiple timescales and states in C. elegans

Atanas,

Kim,

Wang

et al. 2023

Cell

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Tyraminergic corollary discharge filters reafferent perception in a chemosensory neuron

Cited by 6 publications

References 80 publications

Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity inC. elegans

Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity inC. elegans

Inhibitory feedback from the motor circuit gates mechanosensory processing in Caenorhabditis elegans

Brain-wide representations of behavior spanning multiple timescales and states in C. elegans

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