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Animal Learning and Intelligence

“Unlocking the Secrets of Animal Energy Consumption: A New Video-Based Method”

Strong methods do exist for measuring animal movement in the context of energy expenditure, but these are limited by the physical size of the equipment used. Now, in a paper published in the Journal of Experimental Biology, researchers from the Marine Biophysics Unit at the Okinawa Institute of Science and Technology (OIST), in collaboration with Professor Amatzia Genin from the Hebrew University of Jerusalem, describe an innovative method for measuring energy usage during movement with video and 3D-tracking via deep learning.

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The amazing diversity of life on our planet is a testament to the multitude of biological solutions that have evolved to secure and maintain energy. However, despite its central role in biology, measuring energy consumption remains a challenging task. One major drain for many animals is movement, making it an ideal lens through which to estimate energy usage. While methods exist for measuring animal movement, they are often limited by the physical size of the equipment used.

In a groundbreaking study published in the Journal of Experimental Biology, researchers from the Marine Biophysics Unit at the Okinawa Institute of Science and Technology (OIST) have developed an innovative method for measuring energy usage during movement using video and 3D-tracking via deep learning. This new approach opens up the possibility of studying energy consumption in animals that were previously inaccessible due to the reliance on wearable equipment.

The current state-of-the-art method, Dynamic Body Acceleration (DBA), involves measuring oxygen consumption while an animal performs a specific behavior in a lab setting. However, this method has limitations when applied in the wild, where reliably measuring oxygen consumption is impossible. To overcome these challenges, researchers have used physical accelerometers that weigh at least ten times less than the animal, but this still rules out the study of many small species.

The OIST researchers’ solution to this problem is elegantly simple: they use two cameras to capture video footage of an animal’s behavior from multiple angles, reconstructing its movement in 3D space. A deep learning neural network is then trained on a few frames of the videos to track the position of body features such as eyes, allowing researchers to subsequently measure the movement-related acceleration.

This new video-based DBA method has opened up possibilities for studying energy consumption in animals that were previously inaccessible, potentially enabling many new research avenues into the breadth of life on our planet. For example, researchers can now investigate the energy expenditure during schooling of small fish, which has long remained mysterious. By accurately measuring energy usage during free-ranging animal behavior, scientists can gain a deeper understanding of the ecology and evolution of various species.

Animal Learning and Intelligence

“Breathe with Identity: The Surprising Link Between Your Breath and You”

Scientists have discovered that your breathing pattern is as unique as a fingerprint and it may reveal more than just your identity. Using a 24-hour wearable device, researchers achieved nearly 97% accuracy in identifying people based solely on how they breathe through their nose. Even more intriguingly, these respiratory signatures correlated with traits like anxiety levels, sleep cycles, and body mass index. The findings suggest that breathing isn t just a passive process it might actively shape our mental and emotional well-being, opening up the possibility of using breath training for diagnosis and treatment.

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Now, let me rewrite the article to make it more accessible and engaging for a general audience:

Breathe with Identity: The Surprising Link Between Your Breath and You

Imagine if your breath could reveal not only your health but also your identity. Sounds like science fiction? Think again! A recent study published in the journal Current Biology has shown that scientists can identify individuals based solely on their breathing patterns with an astonishing 96.8% accuracy.

The research was led by Noam Sobel and Timna Soroka from the Weizmann Institute of Science, Israel. They were intrigued by the connection between our brain and breathing, which is processed during inhalation in mammals. Since every brain is unique, wouldn’t each person’s breathing pattern reflect that?

To test this idea, the team developed a lightweight wearable device that tracks nasal airflow continuously for 24 hours using soft tubes placed under the nostrils. This innovative approach revealed that people’s respiratory patterns are as distinctive as fingerprints – and just as reliable.

In an experiment with 100 healthy young adults, the researchers asked them to go about their daily lives while wearing the device. The collected data allowed them to identify individuals with high accuracy, rivaling the precision of some voice recognition technologies. What’s more, the study found that these respiratory “fingerprints” correlated with various aspects of a person’s life, such as:

* Body mass index (BMI)
* Sleep-wake cycle
* Levels of depression and anxiety
* Behavioral traits

For instance, participants who scored relatively higher on anxiety questionnaires had shorter inhales and more variability in the pauses between breaths during sleep. This suggests that long-term nasal airflow monitoring may serve as a window into physical and emotional well-being.

But here’s the really interesting part: what if the way we breathe affects our mental and emotional states? Could changing our breathing patterns actually change those conditions? The researchers are already investigating this possibility, aiming to develop a more discreet and comfortable version of the device for everyday use.

Sobel notes, “We intuitively assume that how depressed or anxious you are changes the way you breathe. But it might be the other way around. Perhaps the way you breathe makes you anxious or depressed. If that’s true, we might be able to change the way you breathe to change those conditions.”

This study opens up exciting possibilities for using respiratory monitoring as a tool for improving mental and emotional well-being. And who knows? Maybe one day, your breath will be the key to unlocking a healthier, happier you!

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Animal Learning and Intelligence

Whales Speak Their Minds: Decoding the Secret Language of Bubble Rings

Humpback whales have been observed blowing bubble rings during friendly interactions with humans a behavior never before documented. This surprising display may be more than play; it could represent a sophisticated form of non-verbal communication. Scientists from the SETI Institute and UC Davis believe these interactions offer valuable insights into non-human intelligence, potentially helping refine our methods for detecting extraterrestrial life. Their findings underscore the intelligence, curiosity, and social complexity of whales, making them ideal analogues for developing communication models beyond Earth.

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As we delve into the fascinating world of marine mammals, a team of scientists from the SETI Institute and the University of California at Davis has made a groundbreaking discovery. For the first time, they’ve documented humpback whales producing large bubble rings, akin to a human smoker blowing smoke rings, during friendly interactions with humans. This previously little-studied behavior may represent play or communication.

Humpback whales are already known for using bubbles to corral prey and creating bubble trails and bursts when competing to escort a female whale. These new observations show humpback whales producing bubble rings during friendly encounters with humans. This finding contributes to the WhaleSETI team’s broader goal of studying non-human intelligence to aid in the search for extraterrestrial intelligence.

The study, published in Marine Mammal Science, analyzed 12 bubble ring-production episodes involving 39 rings made by 11 individual whales. According to Dr. Laurance Doyle, SETI Institute scientist and co-author on the paper, “Because of current limitations on technology, an important assumption of the search for extraterrestrial intelligence is that extraterrestrial intelligence and life will be interested in making contact and so target human receivers.” This assumption is certainly supported by the independent evolution of curious behavior in humpback whales.

Dr. Fred Sharpe, co-lead author and UC Davis Affiliate, notes, “Humpback whales live in complex societies, are acoustically diverse, use bubble tools, and assist other species being harassed by predators. Now, akin to a candidate signal, we show they are blowing bubble rings in our direction in an apparent attempt to playfully interact, observe our response, and/or engage in some form of communication.”

The team’s findings have significant implications for the search for extraterrestrial intelligence. By studying intelligent, non-terrestrial (aquatic), nonhuman communication systems, they aim to develop filters that aid in parsing cosmic signals for signs of extraterrestrial life.

Other team members and coauthors of the paper include Dr. Josephine Hubbard, Doug Perrine, Simon Hilbourne, Dr. Joy Reidenberg, and Dr. Brenda McCowan, with specialties in animal intelligences, photography, behavior of humpback whales, whale anatomy, and the use of AI in parsing animal communication.

An earlier paper by the team was published in PeerJ, entitled “Interactive Bioacoustic Playback as a Tool for Detecting and Exploring Nonhuman Intelligence: ‘Conversing’ with an Alaskan Humpback Whale.” The authors would like to acknowledge the Templeton Foundation Diverse Intelligences Program for financial support of this work.

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Animal Learning and Intelligence

The Buzz on Caffeine: How it Affects the Sleeping Brain

Coffee can help you stay awake. But what does caffeine actually do to your brain once you’re asleep? Using AI, a team of researchers has an answer: it affects the brain’s ‘criticality’.

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The article delves into the intricate relationship between caffeine and the sleeping brain, offering fresh insights from a recent study published in Nature Communications Biology. Researchers from Université de Montréal have shed new light on how caffeine can modify sleep patterns and influence the brain’s recovery during the night.

Led by Philipp Thölke, a research trainee at UdeM’s Cognitive and Computational Neuroscience Laboratory (CoCo Lab), the team used AI and electroencephalography (EEG) to study caffeine’s effects on sleep. Their findings reveal that caffeine increases the complexity of brain signals and enhances brain “criticality” during sleep – a state characterized by balanced order and chaos.

Interestingly, this effect is more pronounced in younger adults, particularly during REM sleep, the phase associated with dreaming. The researchers attribute this finding to a higher density of adenosine receptors in young brains, which naturally decrease with age. Adenosine is a molecule that accumulates throughout the day, causing fatigue.

The study’s lead author, Thölke, notes that caffeine stimulates the brain and pushes it into a state of criticality, where it is more awake, alert, and reactive. However, this state can interfere with rest at night, preventing the brain from relaxing or recovering properly.

The researchers used EEG to record the nocturnal brain activity of 40 healthy adults on two separate nights: one when they consumed caffeine capsules three hours before bedtime and another when they took a placebo at the same time. They applied advanced statistical analysis and artificial intelligence to identify subtle changes in neuronal activity, revealing that caffeine increased the complexity of brain signals during sleep.

The team also discovered striking changes in the brain’s electrical rhythms during sleep: caffeine attenuated slower oscillations such as theta and alpha waves – generally associated with deep, restorative sleep – and stimulated beta wave activity, which is more common during wakefulness and mental engagement.

These findings suggest that even during sleep, the brain remains in a more activated, less restorative state under the influence of caffeine. This change in the brain’s rhythmic activity may help explain why caffeine affects the efficiency with which the brain recovers during the night, with potential consequences for memory processing.

The study’s implications are significant, particularly given the widespread use of caffeine as a daily remedy for fatigue. The researchers stress the importance of understanding its complex effects on brain activity across different age groups and health conditions. They add that further research is needed to clarify how these neural changes affect cognitive health and daily functioning, potentially guiding personalized recommendations for caffeine intake.

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