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Category: biological

Studies on animal minds suggest consciousness is not computation

We’re often seduced by the idea that the mind is a computer, and that consciousness is just a matter of running the right code. But philosopher Peter Godfrey-Smith, renowned for his work on octopus minds, disagrees. Fresh research into animal minds—from bees to jellyfish—suggests that consciousness arises not from software but from electrical oscillations moving rhythmically across cell membranes in living brains. And those oscillations, Godfrey-Smith argues, are unlikely to be reproducible in artificial hardware. Perhaps, then, only living brains can truly be conscious.

Late in the previous century, there seemed to be good reasons to think that the physical make-up of a system could not matter much to whether that system had a mind. The organization of the system is what matters, people thought, and physically different systems can be organized the same way. As a result, artificial minds making use of ordinary computer hardware should be possible. This whole discussion was hypothetical, because there weren’t any convincing possible cases of artificial minds to worry about.

Since then, two things have happened. From around 2022, we’ve been confronted with candidates for artificial minds that are disturbingly impressive. These are the LLM systems, such as ChatGPT. But reasons have emerged to doubt that the physical make-up of a system is irrelevant and minds are “substrate independent.” A view sometimes called biological naturalism holds that the biological details of nervous systems might make a difference to whether a physical system has a mind. (The term was coined, with this sense at least, by John Searle.) But if nervous systems and brains are special, what is it that makes them special?

New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement learning (RL) algorithm to learn faster and more stably than conventional approaches.

Reinforcement learning stands as one of the most promising ways to achieve continual learning in AI. The idea is to replicate how biological systems acquire and adapt knowledge slowly over time. The brain achieves this via ion gradients that regulate slow, directional signaling across cell membranes. Replicating this in hardware is a key goal of neuromorphic computing.

With their ability to mimic synaptic behavior, memristors have long been considered strong candidates for this. However, most existing devices suffer from unpredictable, abrupt conductance changes, making sustained and stable learning difficult.

Earth’s 40,000-year tilt cycle links Antarctic ice growth to subtropical productivity

Cycles in the growth and decay of Antarctica’s ice sheets once shaped marine biological productivity thousands of miles away in the subtropical ocean, according to new research led by scientists at the University of Wisconsin-Madison. The study, published in the Proceedings of the National Academy of Sciences, found that the obliquity cycle—a 40,000-year astronomical cycle tied to changes in Earth’s axial tilt—influenced ocean productivity in subtropical latitudes about 34 million years ago, when the Antarctic ice sheet was first expanding.

The finding surprised researchers because the 40,000-year cycle, while an important factor in the conditions at Earth’s poles, typically has a more limited influence on climate and ocean conditions near the equator.

“We generally expect other astronomical cycles to have a greater influence,” says Stephen Meyers, a professor of geoscience at UW-Madison and one of the study’s lead authors.

Hidden features in X-rays could radically change how we measure and understand them

Hidden features uncovered in X-ray signals are set to overturn a key scientific theory and fundamentally change how X-rays are interpreted across fields of physics, chemistry, biology and materials science, new research reveals. Researchers say the discovery can help scientists measure X-rays more precisely and reliably, and improve our understanding of common materials, from battery materials to biological proteins.

X-ray science focuses on the unique energy signatures of atoms. These include the specific X-rays emitted when electrons transition into inner shells—the strongest of which are known as K-alpha lines—as well as distinct energy thresholds at which atoms begin to strongly absorb X-rays.

For more than 50 years, the entire field has relied on the assumption that a core parameter in the equation used to model X-ray absorption spectra, known as the standard XAFS equation, is fixed and does not change.

Free software lets laptops simulate how aging evolves under selection

Why do some species live for only weeks while others survive for centuries? Researchers at the Leibniz Institute on Aging—Fritz Lipmann Institute (FLI) in Jena have developed AEGIS, a freely available software tool that enables scientists to simulate evolution on a standard computer and investigate how lifespan and aging evolve under different ecological pressures and genetic constraints.

Described in a new study published in PLoS Computational Biology, the platform represents years of development and marks an important milestone in the evolutionary biology of aging.

Aging is not a fixed property of life. Across the tree of life, species differ dramatically when they start to age, how fast they age, and how long they live. Understanding what evolutionary forces produced this diversity is one of the deepest open questions in biology.

The neuroscience of hypocrisy points to a communication breakdown in the brain

Half of the participants received actual stimulation aimed at the ventromedial prefrontal cortex. The other half received a fake version of the treatment, known as a sham stimulation. After the procedure, all participants completed the same card game and judgment exercises.

The people who received the real brain stimulation showed a wider gap between their behavior and their judgments. By disrupting the normal function of the brain region, the researchers successfully made people more hypocritical. This proved that the ventromedial prefrontal cortex directly controls moral consistency.

These results suggest that moral consistency is not an automatic trait. It is a biological process that relies on the brain’s ability to sync up different types of information. “Our findings suggest that we should treat moral consistency like a skill that can be strengthened through deliberate decision making,” says senior author Hongwen Song of the University of Science and Technology of China.

Impacts from meteors may have helped start life on Earth by creating hydrothermal vents

Meteor impacts may have helped spark life on Earth, creating hot, chemical-rich environments where the first living cells could take shape, according to research integrated by a recent Rutgers University graduate. Shea Cinquemani, who earned her bachelor’s degree from the School of Environmental and Biological Sciences in May 2025, has published a paper based on research she started during the spring of her senior year.

“No one knows, from a scientific perspective, how life could have been formed from an early Earth that had no life,” said Shea Cinquemani, who earned her bachelor’s degree in marine biology and fisheries management from the Rutgers School of Environmental and Biological Sciences in May 2025. “How does something come from nothing?”

Cinquemani is the lead author of a review, published in the Journal of Marine Science and Engineering, examining where life may have first formed on Earth. The paper focuses on hydrothermal vents, places where hot, mineral-rich water flows through rock and emerges into surrounding water, creating the chemical conditions and energy gradients needed for complex reactions.

How Hair Cells in the Ear Actively Respond to Sound

Tiny hair cells located in the inner ear help us hear and maintain balance. On top of each hair cell is a hair bundle, a sensory organelle that converts mechanical input from sound or movement into electrical output, which is then passed on to the brain. Previous research has shown that hair bundles aren’t simply passive entities. They actively oscillate to amplify weak audio signals or to tune into specific frequencies. Biologists have also observed bundles oscillating in the absence of stimuli. Models have tried to capture this bundle behavior, but the connection between active oscillation and the audio response has not been made clear. A new thermodynamic model of energy flow within hair bundles suggests that they work like tiny machines [1]. Depending on the stimulus, the bundles either extract power from incoming sound waves or inject power into them—corresponding, respectively, to sensing or amplifying a stimulus.

In the inner ear, an active process called cochlear amplification helps humans (and other mammals) hear the faintest of sounds. When a faint whisper enters the ear, for example, the outer rows of hair cells respond to the weak signal by moving in a way that amplifies the sound waves for the inner hair cells, which are the ones that send a message to the brain. Molecular motors propel the movement or twisting of hair bundles required for these functions.

Previous work has explored how much energy a hair cell consumes to drive bundle oscillations, but the resulting models have typically assumed that bundles are moving spontaneously—that is, in the absence of external stimuli. Roman Belousov from the European Molecular Biology Laboratory in Germany and his colleagues have developed a stochastic thermodynamic model that includes an energy input from sound waves. “Instead of just looking at how a hair bundle moves on its own, we wanted to add what happens when it interacts with sound,” Belousov says.

Chiral metasurfaces guide twisted light into free space

Light can carry angular momentum in two distinct ways. One comes from polarization, which describes how the electric field rotates. The other comes from the shape of the wavefront itself, which can twist like a corkscrew as it travels. This second form, known as orbital angular momentum, has attracted wide interest because it allows light to encode information, interact with matter in new ways, and probe physical and biological systems. Despite this promise, producing well-defined twisted light in free space remains technically challenging, especially when the light originates from small or localized sources.

Recent research reported in Advanced Photonics Nexus demonstrates a route to generating twisted light beams by combining a dielectric multilayer with a patterned metallic surface. The work shows that surface-bound light waves can be converted into free-space beams with controlled angular momentum and polarization. Importantly, the approach avoids several limitations of earlier designs and points toward future integration with single-photon emitters.

Many existing methods for generating orbital angular momentum rely on reshaping a laser beam using holograms, liquid-crystal plates, or patterned films known as metasurfaces. While effective for large, externally illuminated beams, these approaches struggle when light must be generated directly on a chip or from nanoscale emitters such as quantum dots or single molecules. Such sources cannot uniformly illuminate a structure or arrive at a precisely defined angle, making efficient beam shaping difficult.

Strained liquid crystals steer soliton ‘bullets’ along two diagonal paths

In physics, some waves behave in a surprising way: instead of spreading out and fading, they hold their shape as they travel at constant speeds. These unusual waves, called solitons, have interested scientists since they were first observed in canals in the 19th century. Today, researchers study solitons in everything from optical fibers to biological systems.

A new study published in Proceedings of the National Academy of Sciences, shows that these stubborn waves can be guided and steered through materials by carefully designing internal strain, offering new ways to move energy or information at microscopic scales.

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