Neural dynamics for landmark orientation and angular path integration
Open accessAbstract
Many animals navigate using a combination of visual landmarks and path integration. In mammalian brains, head direction cells integrate these two streams of information by representing an animal's heading relative to landmarks, yet maintaining their directional tuning in darkness based on self-motion cues. Here we use two-photon calcium imaging in head-fixed Drosophila melanogaster walking on a ball in a virtual reality arena to demonstrate that landmark-based orientation and angular path integration are combined in the population responses of neurons whose dendrites tile the ellipsoid body, a toroidal structure in the centre of the fly brain. The neural population encodes the fly's azimuth relative to its environment, tracking visual landmarks when available and relying on self-motion cues in darkness. When both visual and self-motion cues are absent, a representation of the animal's orientation is maintained in this network through persistent activity, a potential substrate for short-term memory. Several features of the population dynamics of these neurons and their circular anatomical arrangement are suggestive of ring attractors, network structures that have been proposed to support the function of navigational brain circuits.
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Processing within the central complex enables an insect to establish and hold a heading relative to an external navigational reference.
“Processing within the central complex enables an insect to establish and hold a heading relative to an external navigational reference [45,51].”
From Phenomenal interface theory: a model for basal consciousness (2025) · cites this paper as [51]
The Abstract and Discussion report that central-complex neurons in walking flies encode orientation relative to visual landmarks and maintain a compass-like representation when landmarks are absent. This supports establishing and retaining an internal heading reference, but the study does not show that this processing enables the insect to hold a behavioral heading; the Discussion describes that navigational role as a possibility. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe head direction of the insect with respect to external cues is tracked by the activity of E-PG neurons in the ellipsoid body.
“The head direction of the insect with respect to external cues is tracked by the activity of a set of EB neurons known as E-PGs [13,14], also colloquially referred to as ‘compass neurons’.”
From A model of cue integration as vector summation in the insect brain (2023) · cites this paper as [14]
No statistical methods were used to predetermine sample sizes, but the sample sizes are similar to those reported in previous publications.
“No statistical methods were used to predetermine sample sizes but our sample sizes are similar to those reported in previous publications23,24,33,34,37,38.”
From Multimodal cue integration and learning in a neural representation of head direction (2025) · cites this paper as [34]
Experimental — accuracy not yet measuredP{R60D05-Gal4}attP2 drives Gal4 expression in EPG neurons.
“P{R60D05-Gal4}attP2 drives Gal4 expression in EPG neurons, as reported previously34,41, and its construction was described previously61.”
From Multimodal cue integration and learning in a neural representation of head direction (2025) · cites this paper as [34]
The EB is known to be involved in navigation, supporting persistent activity correlated to heading direction.
“Another well studied neuropil, the EB, is known to be involved in navigation, supporting persistent activity correlated to heading direction57–59.”
From Network statistics of the whole-brain connectome of Drosophila (2024) · cites this paper as [57]
The neural representation of a heading can be maintained even if the fix on the external reference is temporarily lost, enabling insects to maintain a heading and to store vectors of travelled paths in memory.
“The neural representation of that heading can be maintained even if the fix on the external reference is temporarily lost [51,52], which enables insects to maintain a heading and to store vectors of travelled paths in memory [53].”
From Phenomenal interface theory: a model for basal consciousness (2025) · cites this paper as [51]
Head direction neurons (EPG neurons) can influence steering via central complex neurons that compare head direction signals with internal goal signals.
“Head direction neurons (EPG neurons) (Seelig and Jayaraman, 2015) can influence steering (Giraldo et al., 2018; Green et al., 2019) via central complex neurons that compare head direction signals with internal goal signals (Beetz et al., 2022; Martin et al., 2015; Mussells Pires et al., 2024; Shiozaki et al., 2020; Westeinde et al., 2024).”
From Neural circuit mechanisms for steering control in walking Drosophila (2025) · cites this paper as Seelig and Jayaraman, 2015
There is a single bump of activity in the EPG ensemble whose angular velocity generally correlates with the fly's angular velocity.
“we found that there is a single bump of activity in the EPG ensemble whose angular velocity generally correlates with the fly’s angular velocity (Green et al., 2017; Seelig and Jayaraman, 2015; Turner-Evans et al., 2017).”
From Neural circuit mechanisms for steering control in walking Drosophila (2025) · cites this paper as Seelig and Jayaraman, 2015
Both speed and direction parameters are under feedback control, as sensory reafference continuously informs the brain about the body's instantaneous forward velocity and heading.
“Both parameters are also under feedback control, as sensory reafference continuously informs the brain about the body’s instantaneous forward velocity76–78 and heading79”
From Fine-grained descending control of steering in walking Drosophila (2024) · cites this paper as [79]
The central complex is the brain region that compares the animal's current heading to an internal goal direction.
“the brain region that compares the animal’s current heading to an internal goal direction62,63,76,77.”
From Fine-grained descending control of steering in walking <i>Drosophila</i> (2023) · cites this paper as [76]
Both speed and direction parameters are under feedback control, as sensory reafference continuously informs the brain about the body's instantaneous forward velocity and heading.
“Both parameters are also under feedback control, as sensory reafference continuously informs the brain about the body’s instantaneous forward velocity73–75 and heading76.”
From Fine-grained descending control of steering in walking <i>Drosophila</i> (2023) · cites this paper as [76]
World-centric heading direction θ is computed in the ellipsoid body and sent to the protocerebral bridge, while body-centric translation direction φ is relayed to the nodulus.
“Here, world-centric heading direction (θ) is computed in the ellipsoid body and sent to the protocerebral bridge (PB)17–19 while body-centric translation direction (φ) is relayed to the nodulus (NO)20.”
From Transforming representations of movement from body- to world-centric space (2022) · cites this paper as [17]
The central complex is the primary locus of spatial computations in arthropods.
“The central complex is the primary locus of spatial computations in arthropods.”
From Transforming representations of movement from body- to world-centric space (2022) · cites this paper as [17]
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The Central Complex as a Potential Substrate for Vector Based Navigation
Le Moël, F., Stone, T., Lihoreau, M., Wystrach, A., & Webb, B. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00690 · Cited by 86 · see citing works
Vinepinsky, E., Cohen, L., Perchik, S., Ben-Shahar, O., Donchin, O., & Segev, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-71217-1 · Cited by 87 · see citing works
Comparative Neuroanatomy of the Lateral Accessory Lobe in the Insect Brain
Namiki, S., & Kanzaki, R. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2016.00244 · Cited by 78 · see citing works
Transforming a head direction signal into a goal-oriented steering command
Westeinde, E. A., Kellogg, E., Dawson, P. M., Lu, J., Hamburg, L., Midler, B., Druckmann, S., & Wilson, R. I. (2024) · Nature · doi:10.1038/s41586-024-07039-2 · Cited by 85 · see citing works
Flexible navigational computations in the Drosophila central complex
Fisher, Y. E. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2021.12.001 · Cited by 74 · see citing works
Neural circuit mechanisms for steering control in <i>walking Drosophila</i>
Rayshubskiy, A., Holtz, S. L., Bates, A. S., Vanderbeck, Q. X., Capdevila, L. S., Rockwell, V., & Wilson, R. I. (2020) · doi:10.1101/2020.04.04.024703 · Cited by 64 · see citing works
A Snapshot-Based Mechanism for Celestial Orientation
el Jundi, B., Foster, J. J., Khaldy, L., Byrne, M. J., Dacke, M., & Baird, E. (2016) · Current Biology · doi:10.1016/j.cub.2016.03.030 · Cited by 76 · see citing works
Diverse Food-Sensing Neurons Trigger Idiothetic Local Search in Drosophila
Corfas, R. A., Sharma, T., & Dickinson, M. H. (2019) · Current Biology · doi:10.1016/j.cub.2019.03.004 · Cited by 60 · see citing works
Dopamine promotes head direction plasticity during orienting movements
Fisher, Y. E., Marquis, M., D’Alessandro, I., & Wilson, R. I. (2022) · Nature · doi:10.1038/s41586-022-05485-4 · Cited by 67 · see citing works
The Drosophila Split Gal4 System for Neural Circuit Mapping
Luan, H., Diao, F., Scott, R. L., & White, B. H. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.603397 · Cited by 73 · see citing works
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes
Singh, S. H., van Breugel, F., Rao, R. P. N., & Brunton, B. W. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-022-00599-w · Cited by 61 · see citing works
A computational model of the integration of landmarks and motion in the insect central complex
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Mapping the neural dynamics of locomotion across the Drosophila brain
Brezovec, B. E., Berger, A. B., Hao, Y. A., Chen, F., Druckmann, S., & Clandinin, T. R. (2024) · Current Biology · doi:10.1016/j.cub.2023.12.063 · Cited by 58 · see citing works
A unified mechanism for innate and learned visual landmark guidance in the insect central complex
Goulard, R., Buehlmann, C., Niven, J. E., Graham, P., & Webb, B. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009383 · Cited by 51 · see citing works
A model of egocentric to allocentric understanding in mammalian brains
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How foresight might support the behavioral flexibility of arthropods
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Hulse, B. K., Haberkern, H., Franconville, R., Turner-Evans, D. B., Takemura, S., Wolff, T., Noorman, M., Dreher, M., Dan, C., Parekh, R., et al. (2020) · doi:10.1101/2020.12.08.413955 · Cited by 392 · see citing works
“We began by assuming that the EPG neurons have an activity bump, similar to that observed experimentally (Seelig and Jayaraman, 2015).”
BackgroundResultInfluentialSelf-citationFine-grained descending control of steering in walking Drosophila
Yang, H. H., Brezovec, B. E., Serratosa Capdevila, L., Vanderbeck, Q. X., Adachi, A., Mann, R. S., & Wilson, R. I. (2024) · Cell · doi:10.1016/j.cell.2024.08.033 · Cited by 55 · see citing works
Neural networks for navigation: From connections to computations
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A neural circuit architecture for rapid learning in goal-directed navigation
Dan, C., Hulse, B. K., Kappagantula, R., Jayaraman, V., & Hermundstad, A. M. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.036 · Cited by 51 · see citing works
“36,44,48 Modeling Determining the optimal policy for maintaining a goal heading Figure 3D shows the drift rate and average duration of fixations, and the turn bias of saccades, that result from training a flexible RL agent to exhibit a preference for a goal heading.”
BackgroundMethodInfluentialOn the role of the head ganglia in posture and walking in insects
Emanuel, S., Kaiser, M., Pflueger, H.-J., & Libersat, F. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00135 · Cited by 31 · see citing works
Bayesian inference in ring attractor networks
Kutschireiter, A., Basnak, M. A., Wilson, R. I., & Drugowitsch, J. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2210622120 · Cited by 36 · see citing works
Neural circuit mechanisms for steering control in walking Drosophila
Rayshubskiy, A., Holtz, S. L., Bates, A. S., Vanderbeck, Q. X., Serratosa Capdevila, L., Rockwell, V., & Wilson, R. (2025) · eLife · doi:10.7554/elife.102230 · Cited by 27 · see citing works
An Analysis of a Ring Attractor Model for Cue Integration
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Towards a common terminology for arthropod spatial orientation
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Batchelor, A. V., & Wilson, R. I. (2019) · Journal of Experimental Biology · doi:10.1242/jeb.191213 · Cited by 20 · see citing works
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Maintaining a stable head direction representation in naturalistic visual environments
Haberkern, H., Chitnis, S. S., Hubbard, P. M., Goulet, T., Hermundstad, A. M., & Jayaraman, V. (2022) · doi:10.1101/2022.05.17.492284 · Cited by 21 · see citing works
Self-citationA neural circuit architecture for rapid behavioral flexibility in goal-directed navigation
Dan, C., Hulse, B. K., Kappagantula, R., Jayaraman, V., & Hermundstad, A. M. (2021) · doi:10.1101/2021.08.18.456004 · Cited by 51 · see citing works
“This triggers a competition between two sets of compass neurons that are activated by the same ring neurons [16, 31, 34, 71], and the bump jumps across the EB to the location that is most weakly inhibited by the same active ring neurons (Fig 2d, right column).”
BackgroundMethodResultInfluentialSelf-citationFine-grained descending control of steering in walking <i>Drosophila</i>
Yang, H. H., Brezovec, L. E., Serratosa Capdevila, L., Vanderbeck, Q. X., Adachi, A., Mann, R. S., & Wilson, R. I. (2023) · doi:10.1101/2023.10.15.562426 · Cited by 55 · see citing works
A model of cue integration as vector summation in the insect brain
Mitchell, R., Shaverdian, S., Dacke, M., & Webb, B. (2023) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2023.0767 · Cited by 13 · see citing works
“In order to account for the results of [14] (E-PG bump retention in darkness and E-PG visual capture) as well as our own proposed learning routine (where E-PGs are driven primarily by angular velocity input), input to the E-PGs is context dependent.”
BackgroundConverting an allocentric goal into an egocentric steering signal
Pires, P. M., Abbott, L. F., & Maimon, G. (2022) · doi:10.1101/2022.11.10.516026 · Cited by 110 · see citing works
Multimodal cue integration and learning in a neural representation of head direction
Basnak, M. A., Kutschireiter, A., Okubo, T. S., Chen, A., Gorelik, P., Drugowitsch, J., & Wilson, R. I. (2025) · Nature Neuroscience · doi:10.1038/s41593-024-01823-z · Cited by 13 · see citing works
“All the HD cells in this network can be imaged simultaneously as a head-fixed fly navigates in a virtual reality environment 33,34 .”
Transforming a head direction signal into a goal-oriented steering command
Westeinde, E. A., Kellogg, E., Dawson, P. M., Lu, J., Hamburg, L., Midler, B., Druckmann, S., & Wilson, R. I. (2022) · doi:10.1101/2022.11.10.516039 · Cited by 85 · see citing works
Weighted cue integration for straight-line orientation
Shaverdian, S., Dirlik, E., Mitchell, R., Tocco, C., Webb, B., & Dacke, M. (2022) · iScience · doi:10.1016/j.isci.2022.105207 · Cited by 9 · see citing works
Phenomenal interface theory: a model for basal consciousness
Klein, C., & Barron, A. B. (2025) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2024.0301 · Cited by 8 · see citing works
“Processing within the central complex enables an insect to establish and hold a heading relative to an external navigational reference [45,51].”
Neural circuit mechanisms for steering control in walking Drosophila
Rayshubskiy, A., Holtz, S. L., Bates, A., Vanderbeck, Q. X., Capdevila, L. S., & Wilson, R. I. (2024) · doi:10.7554/elife.102230.1 · Cited by 5 · see citing works
- Authors
- Seelig, J. D., & Jayaraman, V.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Jayaraman, Vivek
- Venue
- Nature
- Published
- 2015-05
- Volume
- 521
- Issue
- 7551
- Pages
- 186-191
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4704792
- OpenAlex
- W1503270516
- Cited by
- 718
- References
- 47
- Citations by year
- 2026: 60 · 2025: 77 · 2024: 73 · 2023: 63 · 2022: 69 · 2021: 71 · 2020: 61 · 2019: 70 · 2018: 59 · 2017: 66 · 2016: 37 · 2015: 12
- FWCI
- 27.08
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- head direction cells, ellipsoid body, Drosophila melanogaster, spatial navigation, persistent activity, ring attractor, self-motion cues, insect brain, population coding
- MeSH terms
- Animals, Brain, Calcium, Cues, Darkness, Dendrites, Drosophila melanogaster, Female, Head, Neurons, Orientation, Photic Stimulation, Rotation, Space Perception, Walking, Spatial Navigation
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