How can behavior stay reliable when the environment changes the brain itself? New study discovered that tiny zebrafish can hunt just as precisely in cold water as in warm, even though temperature directly speeds up or slows down their neural activity and movements. The secret lies not in resistance, but adjustment: the brain and behavior rescale in time together, preserving performance when it matters most. By combining neural activity imaging, quantitative behavioral analysis, and mathematical modeling, the study reveals a powerful new principle of biological robustness: brains can remain stable not by staying unchanged, but by flexibly rescaling their dynamics to match changing conditions. This insight helps explain how animals survive in ever-changing environments and could guide the design of AI and robotic systems that remain stable and reliable even when conditions shift.
[Hebrew University] In a world where temperature can change rapidly, survival depends on precision. A new study reveals how the brain achieves that by flexibly adjusting its internal timing while preserving the accuracy of behavior.
A new study from the laboratory of Dr. Lilach Avitan at the Hebew University of Jerusalem reveals a fundamental principle of biological robustness. Led by Avitan and carried out by
PhD student Shai Tishby Tamari together with other members of her lab at the Edmond and Lily Safra Center for Brain Sciences (ELSC), the research shows that animals can maintain stable, goal-directed behavior even when temperature speeds up or slows down their nervous system. The key lies in neural temporal scaling, a mechanism that allows brain dynamics to adjust in time while preserving function.
The team studied larval zebrafish, tiny, transparent animals that rely on rapid, accurate movements to hunt prey. These fish naturally experience wide temperature fluctuations in their environment.
Across a 10°C ecological range, the researchers found something remarkable:
the fish hunted just as successfully in cold water as in warm water.
Even though higher temperatures caused their movements to accelerate (shorter pauses, faster swimming), their accuracy did not change. When hunting, the distance they traveled and the angles they turned remained consistent.
In contrast, during non-critical behaviors like exploration, these same spatial patterns broke down and became temperature-dependent. This reveals that the brain selectively preserves precision only when it matters for survival.
To understand how this stability is achieved, the researchers used advanced two-photon calcium imaging to record activity across the brain while the animals were behaving.
They found that temperature changes didn’t disrupt neural function. Instead, they caused a
uniform rescaling of neural dynamics:
- Neural responses happened faster at higher temperatures
- Slower at lower temperatures
- But crucially, their structure and function remained intact
This temporal scaling appeared
across brain regions, from sensory areas that process visual information to motor circuits that drive movement and even at the level of individual neurons.
Despite this global acceleration, the brain still accurately encoded the location of prey, and decoding performance remained stable across temperatures.
At the behavioral level, the fish achieved stability through a precise coordination:
- Faster tail beats at higher temperatures
- Shorter movement durations
Together, these changes balanced out so the fish traveled the same distance regardless of temperature.
Surprisingly, this did not require complex control or feedback.
A mathematical model showed that a single parameter, how fast neurons respond, can automatically generate this coordination, preserving behavior without active correction.
“What is especially unusual about this study is that we were able to follow adaptation across the entire system,” said Dr. Avitan. “We saw how temperature affects single neurons, the populations of neurons that encode information, and ultimately the animal’s natural hunting behavior. Linking these levels together allowed us to identify a principle by which the brain maintains robust function in changing conditions.”
The findings point to a broader insight:
The brain may not always fight environmental change rather it may adapt its internal clock to preserve what matters.
This principle could extend far beyond zebrafish, offering new ways to understand:
- How ectotherm animals cope with climate variability
- How neural systems remain stable under physiological stress
- How to design robust artificial intelligence that functions reliably in changing conditions
In essence, when the world speeds up or slows down, the brain doesn’t lose control, it simply rescales time to stay on target.
The discovery of neural temporal scaling offers a powerful new design principle for artificial systems. Today’s AI and robotic controllers often struggle when operating speeds, hardware conditions, or environmental dynamics change, requiring explicit recalibration or retraining. In contrast, the zebrafish brain achieves stability by uniformly rescaling its internal timing, preserving functional output without additional control. Incorporating similar mechanisms into AI, where internal processing times adapt while maintaining invariant task goals, could enable more robust autonomous systems, from drones operating in variable climates to adaptive robots and neuromorphic hardware that remain stable under fluctuating physical conditions.