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Category: biological – Page 48

Researchers discover distributed brain network underlying neural representations of biological motion attributes

Biological motion refers to the kinesthetic information of living beings (i.e., humans and animals). The ability of biological motion perception is crucial for the organism’s survival and social interaction. Biological motion contains multidimensional attributes, including physical, biological and social attributes. How does our brain extract each attribute from multidimensional biological motion stimuli, and what is the relationship between the processing of different attributes?

A research team led by Prof. Jiang Yi from the Institute of Psychology of the Chinese Academy of Sciences used imaging (fMRI) to investigate the neural mechanisms underlying the processing of multidimensional biological motion attributes in the . They used point-light displays as test stimuli, in which only the movement trajectories of a person’s major joints are represented by a set of dots. They systematically manipulated three attributes of biological motion: walking direction, gender, and .

Using multiple regression representation similarity analysis (RSA), the researchers identified the brain networks involved in the processing of these three attributes. The that encode the walking direction attribute are mainly located in the dorsal cortical areas, those that represent the gender attribute are located in the frontal and , and the neural representations of the emotional state attribute widely involve the dorsal and ventral cortical areas.

Face detection in untrained deep neural networks

Researchers have explained how the regularly structured topographic maps in the visual cortex of the brain could arise spontaneously to efficiently process visual information. This research provides a new framework for understanding functional architectures in the visual cortex during early developmental stages.

A KAIST research team led by Professor Se-Bum Paik from the Department of Bio and Brain Engineering has demonstrated that the orthogonal organization of retinal mosaics in the periphery is mirrored onto the and initiates the clustered topography of higher visual areas in the brain.

This new finding provides advanced insights into the mechanisms underlying a biological strategy of brain circuitry for the efficient tiling of sensory modules. The study was published in Cell Reports on January 5.

A single biological factor predicts distinct cortical organizations across mammalian species

Researchers have explained how visual cortexes develop uniquely across the brains of different mammalian species. A KAIST research team led by Professor Se-Bum Paik from the Department of Bio and Brain Engineering has identified a single biological factor, the retino-cortical mapping ratio, that predicts distinct cortical organizations across mammalian species.

This new finding has resolved a long-standing puzzle in understanding visual neuroscience regarding the origin of functional architectures in the visual cortex. The study, published in Cell Reports on March 10, demonstrates that the evolutionary variation of biological parameters may induce the development of distinct functional circuits in the visual cortex, even without -specific developmental mechanisms.

In the (V1) of mammals, neural tuning to visual stimulus orientation is organized into one of two distinct topographic patterns across species. While primates have columnar orientation maps, a salt-and-pepper type organization is observed in rodents.

THE Seventh EUROSYMPOSIUM ON HEALTHY AGEING : November 2024

For my presentation at the 7th Eurosymposium on Healthy Aging in Brussels tomorrow, I’ve significantly updated my slides “Solving Aging: Is AI all we need?” — It’s still possible to register and attend remotely today and/or tomorrow.

:The Eurosymposium on Healthy Ageing (EHA) is a unique biennial meeting of scientists working on the biology of ageing.

A large field-of-view, single-cell-resolution two- and three-photon microscope for deep and wide imaging

In vivo imaging of large-scale neuronal activity plays a pivotal role in unraveling the function of the brain’s circuitry. Multiphoton microscopy, a powerful tool for deep-tissue imaging, has received sustained interest in advancing its speed, field of view and imaging depth. However, to avoid thermal damage in scattering biological tissue, field of view decreases exponentially as imaging depth increases. We present a suite of innovations to optimize three-photon microscopy for large field-of-view imaging at depths unreachable by two-photon microscopy. These techniques enable us to image neuronal activities of transgenic animals expressing protein calcium sensors in a ~ 3.5-mm diameter field-of-view with single-cell resolution in the deepest cortical layer of mouse brains.

A company is now developing human washing machines

Forget cold plunges. The new flex could soon be human washing machines.

According to one of Japan’s oldest newspapers, an Osaka-based shower head maker called Science has developed a contraption that’s shaped like a cockpit, fills with water when a bather sits in a seat at its center, and measures the person’s pulse and other biological data via sensors to ensure the temperature is just right. It also “projects images on the inside of [its] transparent cover to help the person feel refreshed,” says the outlet.

Dubbed “Mirai Ningen Sentakuki” (human washing machine of the future), the apparatus might never go on sale. Indeed, for now the company’s plans for it appear limited to an expo in Osaka this April, where up to eight people can experience a 15-minute-long “wash and dry” each day after first booking a reservation.

Human evolution in an AI world: Predicting changes in brain size, attention and social behaviors

As artificial intelligence (AI) becomes more common and sophisticated, its effects on human lives and societies raises new questions. A new paper published in The Quarterly Review of Biology posits how these new technologies might affect human evolution.

In “How Might Artificial Intelligence Influence Human Evolution?” author Rob Brooks considers the inevitable but incremental evolutionary consequences of AI’s everyday use and human-AI interactions—without “dramatic but perhaps unlikely events, including possibilities of human annihilation, assimilation, or enslavement.”

In the paper, Brooks considers (“often with considerable speculation”) some possible forms of human-AI interaction and the evolutionary implications of such interactions via natural selection, including forms of selection that resemble the inadvertent and deliberate selection that occurred when humans domesticated crops, livestock, and .

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