Multiscale representation of very large environments in the hippocampus of flying bats

Eliav, Tamir; Maimon, Shir R.; Aljadeff, Johnatan; Tsodyks, Misha; Ginosar, Gily; Las, Liora; Ulanovsky, Nachum

doi:10.1126/science.abg4020

Cited by 72 publications

(160 citation statements)

References 69 publications

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“…Not only recording devices, but also naturalistic contexts, like habitat, need to be reconstructed in order to understand neural processing of naturalistic behavior. Hereby, constructing elaborate tunnel mazes with a naturalistic representative size represents another big challenge to unravel the neural mechanisms of bat navigation behavior in future projects ( Eliav et al, 2021 ).…”

Section: Neural Recordings From Awake and Echolocating Batsmentioning

confidence: 99%

Neural Processing of Naturalistic Echolocation Signals in Bats

Beetz

Hechavarría

2022

Front. Neural Circuits

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Echolocation behavior, a navigation strategy based on acoustic signals, allows scientists to explore neural processing of behaviorally relevant stimuli. For the purpose of orientation, bats broadcast echolocation calls and extract spatial information from the echoes. Because bats control call emission and thus the availability of spatial information, the behavioral relevance of these signals is undiscussable. While most neurophysiological studies, conducted in the past, used synthesized acoustic stimuli that mimic portions of the echolocation signals, recent progress has been made to understand how naturalistic echolocation signals are encoded in the bat brain. Here, we review how does stimulus history affect neural processing, how spatial information from multiple objects and how echolocation signals embedded in a naturalistic, noisy environment are processed in the bat brain. We end our review by discussing the huge potential that state-of-the-art recording techniques provide to gain a more complete picture on the neuroethology of echolocation behavior.

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Section: Neural Recordings From Awake and Echolocating Batsmentioning

confidence: 99%

Neural Processing of Naturalistic Echolocation Signals in Bats

Beetz

Hechavarría

2022

Front. Neural Circuits

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“…Other fish species with similar home range sizes can serve a similar purpose, including marine ( Kramer and Chapman, 1999 ) and freshwater species ( Baktoft et al, 2017 ). Beyond fish, the Egyptian bat was developed in recent years into an animal model to assess spatial cognition in large linear arenas ( Eliav et al, 2021 ) and is expected to provide further insights in the future.…”

Section: Discussionmentioning

confidence: 99%

Toward Naturalistic Neuroscience of Navigation: Opportunities in Coral Reef Fish

Givon

Pickholtz

et al. 2022

Front. Neural Circuits

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The ability to navigate in the world is crucial to many species. One of the most fundamental unresolved issues in understanding animal navigation is how the brain represents spatial information. Although navigation has been studied extensively in many taxa, the key efforts to determine the neural basis of navigation have focused on mammals, usually in lab experiments, where the allocated space is typically very small; e.g., up to one order of magnitude the size of the animal, is limited by artificial walls, and contains only a few objects. This type of setting is vastly different from the habitat of animals in the wild, which is open in many cases and is virtually limitless in size compared to its inhabitants. Thus, a fundamental open question in animal navigation is whether small-scale, spatially confined, and artificially crafted lab experiments indeed reveal how navigation is enacted in the real world. This question is difficult to study given the technical problems associated with in vivo electrophysiology in natural settings. Here, we argue that these difficulties can be overcome by implementing state of the art technology when studying the rivulated rabbitfish, Siganus rivulatus as the model animal. As a first step toward this goal, using acoustic tracking of the reef, we demonstrate that individual S. rivulatus have a defined home range of about 200 m in length, from which they seldom venture. They repeatedly visit the same areas and return to the same sleeping grounds, thus providing evidence for their ability to navigate in the reef environment. Using a clustering algorithm to analyze segments of daily trajectories, we found evidence of specific repeating patterns in behavior within the home range of individual fish. Thus, S. rivulatus appears to have the ability to carry out its daily routines and revisit places of interest by employing sophisticated means of navigation while exploring its surroundings. In the future, using novel technologies for wireless recording from single cells of fish brains, S. rivulatus can emerge as an ideal system to study the neural basis of navigation in natural settings and lead to “electrophysiology in the wild.”

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“…The tendency to precess of a field in one running direction was found to be statistically independent from the phase relationship of the field in the other direction (Figure 3E; Spearman's rho = 0.092; p > 0.05). The propensity of single fields to precess can be thus conceived as a map-specific property, not unlike the peak firing rate and place field size [22]. Current source density analysis reveal layer specific theta-gamma interaction in dorsal CA1…”

Section: Place Cells Phase Coding Properties Vary Across Fieldsmentioning

confidence: 99%

Heterogeneity of network and coding states in CA1

Guardamagna

Stella

Battaglia

2021

Preprint

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The hippocampus likely uses temporal coding to represent complex memories via mechanisms such as theta phase precession and theta sequences. Theta sequences are rapid sweeps of spikes from multiple place cells, encoding past or planned trajectories or non-spatial information. Phase precession, the correlation between a place cell's theta firing phase and animal position has been suggested to facilitate sequence emergence. We find that CA1 phase precession varies strongly across cells and environmental contingencies. Phase precession depends on the CA1 network state, and is only present when the medium gamma oscillation (60-90 Hz, linked to Entorhinal inputs) dominates. Conversely, theta sequences are most evident for non-precessing cells or with leading slow gamma (20-45 Hz, linked to CA3 inputs). These results challenge the view that phase precession is the mechanism underlying the emergence of theta sequences and point at a 'dual network states' model for hippocampal temporal code, potentially supporting merging of memory and exogenous information in CA1.

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Multiscale representation of very large environments in the hippocampus of flying bats

Cited by 72 publications

References 69 publications

Neural Processing of Naturalistic Echolocation Signals in Bats

Neural Processing of Naturalistic Echolocation Signals in Bats

Toward Naturalistic Neuroscience of Navigation: Opportunities in Coral Reef Fish

Heterogeneity of network and coding states in CA1

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