A computational model for angular velocity integration in a locust heading circuit DOI Creative Commons
Kathrin Pabst, Evripidis Gkanias, Barbara Webb

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(12), P. e1012155 - e1012155

Published: Dec. 20, 2024

Accurate navigation often requires the maintenance of a robust internal estimate heading relative to external surroundings. We present model for angular velocity integration in desert locust circuit, applying concepts from early theoretical work on circuits mammals novel biological context insects. In contrast similar models proposed fruit fly, this circuit uses single 360° direction representation and is updated by neuromodulatory inputs. Our computational was implemented using steady-state firing rate neurons with dynamical synapses. The connectivity constrained data, remaining degrees freedom were optimised machine learning approach yield physiologically plausible neuron activities. demonstrate that noise. signal can be effectively used as input an existing insect goal-directed steering adapted outbound locomotion steady resembles migration. study supports possibility computations orientation may differently neural hardware fly locust.

Language: Английский

A central steering circuit inDrosophila DOI Creative Commons
Kai Feng, Mariam Khan, Ryo Minegishi

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 2, 2024

Abstract Locomotion steering control enables animals to pursue targets, evade threats, avoid obstacles, and explore their environment. Steering commands are generated in the brain communicated via descending neurons leg or wing motor circuits. The diversity of ways which turns triggered executed has led view that might rely on distributed neural processing across multiple Here, however, we present evidence for a central circuit Drosophila is used both goal-directed exploratory capable eliciting ranging from subtle course corrections rapid saccades. organized hierarchy, top layer comprises reciprocally connected DNa03 LAL013 neurons. Our data suggest initiated by reinforced stabilized through winner-take-all mechanism involving LAL013. DNa11 form an intermediate layer. They receive input target circuits directly as well indirectly subordinate activation coordinately changes stepping directions all six legs generate saccadic turns. Together, these define flexibly fly exploits explores its

Language: Английский

Citations

7
A comprehensive neuroanatomical survey of theDrosophilaLobula Plate Tangential Neurons with predictions for their optic flow sensitivity DOI Creative Commons
Arthur Zhao, Aljoscha Nern, Sanna Koskela

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 17, 2023

Abstract Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential cells dipteran lobula plate, whose visual-motion responses, lesser extent, morphology, explored using single-neuron neurophysiology. Most these studies focused on large, Horizontal Vertical System neurons, yet plate houses much larger set ‘optic-flow’ many which challenging unambiguously identify or reliably target functional studies. Here we report comprehensive reconstruction identification Lobula Plate Tangential an Electron Microscopy (EM) volume whole Drosophila brain. This catalog 58 LPT (per brain hemisphere) contains described here first time provides basis systematic investigation circuitry linking locomotion control. Leveraging computational anatomy methods, estimated motion receptive fields compared tuning consequence body rotations translational movements. We also matched most cases one-for-one basis, stochastically labeled genetic driver lines, mirror-symmetric same EM volume, additional data set. Using cell matches across sets, analyzed integration downstream LPTs find central establish sharper selectivity global than input neurons. Furthermore, found information extracted from processed distinct regions brain, pointing diverse foci generation behaviors.

Language: Английский

Citations

13
A comprehensive neuroanatomical survey of the Drosophila Lobula Plate Tangential Neurons with predictions for their optic flow sensitivity DOI Open Access
Arthur Zhao, Aljoscha Nern, Sanna Koskela

et al.

Published: Jan. 9, 2024

Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential cells dipteran lobula plate, whose visual-motion responses, lesser extent, morphology, explored using single-neuron neurophysiology. Most these studies focused on large, Horizontal Vertical System neurons, yet plate houses much larger set ‘optic-flow’ many which challenging unambiguously identify or reliably target functional studies. Here we report comprehensive reconstruction identification Lobula Plate Tangential an Electron Microscopy (EM) volume whole Drosophila brain. This catalog 58 LPT (per brain hemisphere) contains described here first time provides basis systematic investigation circuitry linking locomotion control. Leveraging computational anatomy methods, estimated motion receptive fields compared tuning consequence body rotations translational movements. We also matched most cases one-for-one basis, stochastically labeled genetic driver lines, mirror-symmetric same EM volume, additional data set. Using cell matches across sets, analyzed integration downstream LPTs find central establish sharper selectivity global than input neurons. Furthermore, found information extracted from processed distinct regions brain, pointing diverse foci generation behaviors.

Language: Английский

Citations

5
The neuroethology of ant navigation DOI Creative Commons
Thomas S Collett, Paul Graham, Stanley Heinze

et al.

Current Biology, Journal Year: 2025, Volume and Issue: 35(3), P. R110 - R124

Published: Feb. 1, 2025

Unlike any other group of animals, all ant species are social: individual ants share the food they gather with their nestmates and as a consequence must repeatedly leave nest to find then return home it. These back-and-forth foraging trips have been studied for about century much our growing understanding strategies underlying animal navigation has come from these studies. One important strategy that use keep track where on trip is 'path integration', in which continuously update 'home vector' gives estimated distance direction nest. As path integration accumulates errors, it cannot be relied bring precisely home: such precision accomplished by using views acquired before start foraging. Further learning scaffolded vectors or remembered vectors, guide route help useful experienced way. Many rely olfaction well vision guidance full details paths revealed how mix innate learnt multisensory cues. Wood ants, we focus this review, take an oscillating along pheromone trail sample odours, but acquire visual information only at peaks troughs oscillations. To provide working model neural basis multimodal navigational outline anatomy functioning major central brain areas circuits - complex, mushroom bodies lateral accessory lobes involved coordination behaviour olfactory patterns. Because brains not yet well-studied, work done notably, Drosophila, silkworm moths bees derive plausible circuitry can deliver ants' strategies.

Language: Английский

Citations

0
Combining Sampling Methods with Attractor Dynamics in Spiking Models of Head-Direction Systems DOI Creative Commons

Vojko Pjanovic,

Jacob A. Zavatone-Veth, Paul Masset

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Uncertainty is a fundamental aspect of the natural environment, requiring brain to infer and integrate noisy signals guide behavior effectively. Sampling-based inference has been proposed as mechanism for dealing with uncertainty, particularly in early sensory processing. However, it unclear how reconcile sampling-based methods operational principles higher-order areas, such attractor dynamics persistent neural representations. In this study, we present spiking network model head-direction (HD) system that combines dynamics. To achieve this, derive required interactions perform sampling from large family probability distributions-including variables encoded Poisson noise. We then propose method allows update its estimate current head direction by integrating angular velocity samples-derived inputs-with pull towards circular manifold, thereby maintaining consistent This makes specific, testable predictions about HD can be examined future neurophysiological experiments: predicts correlated subthreshold voltage fluctuations; distinctive short- long-term firing correlations among neurons; characteristic statistics movement activity "bump" representing direction. Overall, our approach extends previous theories on probabilistic neurons, offers novel perspective computations responsible orientation navigation, supports hypothesis combined provide viable framework studying across brain.

Language: Английский

Citations

0
Maintaining and updating accurate internal representations of continuous variables with a handful of neurons DOI Creative Commons
Marcella Noorman, Brad K. Hulse, Vivek Jayaraman

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Language: Английский

Citations

3
A neural circuit architecture for rapid behavioral flexibility in goal-directed navigation DOI Creative Commons
Chuntao Dan, Brad K. Hulse,

Ramya Kappagantula

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2021, Volume and Issue: unknown

Published: Aug. 19, 2021

ABSTRACT Anchoring goals to spatial representations enables flexible navigation in both animals and artificial agents. However, using this strategy can be challenging novel environments, when goal must acquired quickly simultaneously. Here, we propose a framework for how Drosophila use their internal representation of head direction build heading upon selective thermal reinforcement. We show that flies well-established operant visual learning paradigm stochastically generated fixations directed saccades express preferences, compass neurons, which represent flies’ direction, are required modify these preferences based on describe ability map surroundings adapt behavior the rules environment may rest behavioral policy whose parameters but form dependence genetically encoded modular structure circuits. Using symmetric setting, predictably alters dynamics system, enabled us interactions between evolving impact behavior. tethered two facilitate rapid new headings, drive more exploitative about stronger ensure separate processes involved mapping forming within remain consistent with one another. Many mechanisms outline broadly relevant rapidly adaptive driven by representations.

Language: Английский

Citations

20
A comprehensive neuroanatomical survey of the Drosophila Lobula Plate Tangential Neurons with predictions for their optic flow sensitivity DOI Open Access
Arthur Zhao, Aljoscha Nern, Sanna Koskela

et al.

Published: Jan. 9, 2024

Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential cells dipteran lobula plate, whose visual-motion responses, lesser extent, morphology, explored using single-neuron neurophysiology. Most these studies focused on large, Horizontal Vertical System neurons, yet plate houses much larger set ‘optic-flow’ many which challenging unambiguously identify or reliably target functional studies. Here we report comprehensive reconstruction identification Lobula Plate Tangential an Electron Microscopy (EM) volume whole Drosophila brain. This catalog 58 LPT (per brain hemisphere) contains described here first time provides basis systematic investigation circuitry linking locomotion control. Leveraging computational anatomy methods, estimated motion receptive fields compared tuning consequence body rotations translational movements. We also matched most cases one-for-one basis, stochastically labeled genetic driver lines, mirror-symmetric same EM volume, additional data set. Using cell matches across sets, analyzed integration downstream LPTs find central establish sharper selectivity global than input neurons. Furthermore, found information extracted from processed distinct regions brain, pointing diverse foci generation behaviors.

Language: Английский

Citations

1
Normative approaches to neural coding and behavior DOI Creative Commons
Ann M. Hermundstad

SciPost Physics Lecture Notes, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 13, 2024

These are a brief set of lectures notes for given at the Les Houches Summer School in Theoretical Biological Physics July 2023. In these notes, I provide an introduction to some theoretical frameworks that used understand how brain makes sense incoming signals from environment ultimately guide effective behavior. then discuss we can apply structure and function real brains.

Language: Английский

Citations

0
A computational model for angular velocity integration in a locust heading circuit DOI Creative Commons
Kathrin Pabst, Evripidis Gkanias, Barbara Webb

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(12), P. e1012155 - e1012155

Published: Dec. 20, 2024

Accurate navigation often requires the maintenance of a robust internal estimate heading relative to external surroundings. We present model for angular velocity integration in desert locust circuit, applying concepts from early theoretical work on circuits mammals novel biological context insects. In contrast similar models proposed fruit fly, this circuit uses single 360° direction representation and is updated by neuromodulatory inputs. Our computational was implemented using steady-state firing rate neurons with dynamical synapses. The connectivity constrained data, remaining degrees freedom were optimised machine learning approach yield physiologically plausible neuron activities. demonstrate that noise. signal can be effectively used as input an existing insect goal-directed steering adapted outbound locomotion steady resembles migration. study supports possibility computations orientation may differently neural hardware fly locust.

Language: Английский

Citations

0