Bahl Lab

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Bahl Lab

Bahl Lab

@BahlLab

How do individual animals and animal collectives process and evaluate sensory information to give rise to behavior? We are investigating this and much more.

Konstanz, Germany Bergabung Ekim 2021
134 Mengikuti1K Pengikut
Bahl Lab
Bahl Lab@BahlLab·
How do brains make decisions when faced with multiple, potentially conflicting cues? In our latest preprint, we show how #zebrafish use an additive strategy and process multiple visual features through anatomically distinct parallel pathways tinyurl.com/mvkn8em9 Thread 👇
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Bahl Lab
Bahl Lab@BahlLab·
These results demonstrate how distinct visual features are extracted, processed in parallel, and eventually integrated to guide behavior. This modular and parallel circuit architecture provides a context-flexible solution for transforming sensory input into action. (5/7)
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Bahl Lab@BahlLab·
We investigated the morphology and neurotransmitters of functionally identified neurons and show how the identified pathways converge in the anterior hindbrain. (4/7)
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Bahl Lab@BahlLab·
Through brain-wide 2P calcium imaging, we identify neurons whose activity matches our model components. (3/7)
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Bahl Lab@BahlLab·
We find that zebrafish compute three visual features–motion, luminance level, and changes in luminance–and simply add cues to choose swim direction. Our model captures behavior and predicts potential computations in the brain. (2/7)
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Bahl Lab@BahlLab·
Larval zebrafish follow the direction of whole-field motion #OMR and prefer to swim towards brighter areas #phototaxis. But what happens in the brain when motion goes left, and there is brightness on the right? (1/7)
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Bahl Lab@BahlLab·
We suggest that zebrafish phototaxis is regulated via parallel processing streams, which could be a universal implementation to change strategies depending on developmental stage, context, or internal state, making behavior flexible and goal-oriented. (9/10)
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Bahl Lab@BahlLab·
Model-based extraction of latent cognitive variables points towards potential neural correlates of the observed behavioral inversion and illustrates a novel way to explore the mechanisms of vertebrate ontogeny. (8/10)
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Bahl Lab@BahlLab·
We ran simulations with virtual fish to test the model’s prediction for brightness navigation. Our model is able to qualitatively reproduce the behavior of the real fish. (7/10)
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Bahl Lab@BahlLab·
Using these pathways, we build a library of agent-based models to predict animal behavior across stimulation conditions and in more complex environments. (6/10)
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Bahl Lab@BahlLab·
We identify three parallel pathways: averaging whole-field luminance levels (A), comparing the contrast of light levels across eyes (C), and computing eye-specific temporal derivatives (D). (5/10)
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Bahl Lab@BahlLab·
Next, we quantified the turning behavior using a lateral brightness stimulus that is locked to the position of the fish. (4/10)
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Bahl Lab@BahlLab·
To test behavioral responses to whole-field brightness levels, we created a virtual circular gradient in which the brightness of the arena depends on the position of the fish. (3/10)
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Bahl Lab@BahlLab·
We apply a combination of modeling and complementary phototaxis assays in virtual reality to dissect the algorithmic basis of this transition. (2/10)
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Bahl Lab@BahlLab·
Larval zebrafish spend more time in the light, whereas juvenile zebrafish tend to approach darker regions. (1/10)
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Bahl Lab
Bahl Lab@BahlLab·
Sledding from the Bahl lab retreat into #NWG2025! Come check out our posters and talks over the next few days. See you there!
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