New Haven, Conn. — Humans perceive and navigate the world around us with the help of our five senses: sight, hearing, touch, taste and smell. And while scientists have long known that these different senses activate different parts of the brain, a new Yale-led study indicates that multiple senses all stimulate a critical region deep in the brain that controls consciousness.

The study, published May 15 in the journal NeuroImage, sheds new light on how sensory perception works in the brain and may fuel the development of therapies to treat disorders involving attention, arousal, and consciousness

A group of researchers from Duke University and Columbia University have figured out how to use "Theory of Mind" to quickly train groups of robots to complete complex tasks. Whereas other control algorithms direct robots through mechanisms more similar to hive mind behaviors, this newly demonstrated framework called HUMAC teaches groups of robots how to collaborate through insights provided by a single human coach.

A new study combining Indigenous knowledge systems with Western genomics has uncovered how megafauna – namely ancient horses – were impacted during a period of substantial habitat change. During the late Pleistocene, the study reports, horses repeatedly migrated between North America and Eurasia, but after the Last Glacial Maximum, warming caused a land bridge to be submerged, severing this connection, and ultimately contributing to horses’ decline in North America. The findings could inform modern conservation approaches. Large animals, or megafauna, play critical roles in maintaining ecological balance. Their decline can lead to far-reaching disruptions for both natural and human communities. These risks are particularly pronounced in the rapidly warming Arctic. Indigenous scientific systems have long documented how shifts in climate reshape habitats. Complementing this, the fossil record offers a deep-time perspective on how local megafauna responded to past periods of rapid environmental change. Pleistocene-age horses in Beringia – a once-continuous landmass connecting Asia to North America – are a good model of megafauna so impacted. Still, despite dramatic environmental shifts during the Late Pleistocene, the effects on Beringian horse populations and their legacy remain poorly understood.

 

To trace how horses responded to environmental shifts over the past 50,000 years, Yvette Running Horse Collin and colleagues merged geochemical and genetic analyses of ancient Beringian horse fossils with Indigenous scientific protocols. Running Horse Collins et al. generated genomes from 67 ancient horse fossils found across Beringia, Siberia, and continental North America and analyzed them alongside data from all known horse lineages. They integrated their genomic data with radiocarbon dates and stable isotope measurements from fossil horse collagen. The findings reveal repeated trans-Beringian horse migrations between 50,000 and 13,000 years ago, with genetic exchanges occurring in both directions – from North America to Eurasia and vice versa. Some horse lineages in Eurasia, including fossils from northeastern Siberia and even as far west as Iberia, show traces of North American ancestry, supporting widespread dispersals. According to the authors, this complex genetic legacy mirrors the interconnectivity emphasized in Indigenous knowledge systems, which view life forms as deeply relational, not isolated. Moreover, the study also suggests that habitat changes due to warming and deglaciation at the Pleistocene-Holocene transition – particularly the shift from dry grasslands to wet, boggy tundra – limited horse mobility and food access, contributing to population decline in North America. In contrast, generalist herbivores such as moose and elk flourished.

 

These patterns underscore a broader ecological principle found in Indigenous science, particularly the Lakota concept of mitakuye oyasin, which emphasizes that a species’ survival depends not only on geography, but also its relationship with other life forms within a shared, interdependent habitat. Changes to this relational habitat can serve as the driving force for movement or migration.

 

For reporters interested in further insights into how this work was done, author Ludovic Orlando said, “Establishing collaborations with Indigenous scientists grounded in mutual respect and equal partnership is essential for the future of all scientific disciplines. Indigenous communities have cultivated deep and invaluable knowledge systems over countless generations. However, the structure of project-based science – often driven by tight funding cycles and publication deadlines – can pose challenges to meaningful cross-cultural dialogue and may not always align with Indigenous protocols for sharing traditional knowledge. The co-authors of this study have worked under the guidance of an Indigenous Review Board to ensure that every stage of the research – from study design to publication – respects and adheres to Indigenous protocols. We hope our approach can serve as a valuable model for other researchers and help foster broader adoption of ethically grounded, collaborative scientific practices.”

A large-scale genomic study of over 1,500 individuals from 139 underrepresented Indigenous groups across northern Eurasia and the Americas sheds new light on the ancient migrations that shaped the genetic landscape of North and South America. The results reveal distinct ancestry patterns and early diversification of Indigenous South American populations. The late Pleistocene saw the migration of humans from North Asia into North and South America beginning by at least 23,000 years ago, according to archaeological evidence. This expansion was rapid – genetic evidence suggests northern and southern Native American groups began diverging between 17,500 and 14,600 years ago, with human presence in southernmost South America confirmed by 14,500 years ago. However, many questions remain about this expansion and its impact on the genetic architecture of human populations across the continents, especially in South America, where high-resolution genomic studies are still lacking.

 

To address this knowledge gap, Elena Gusareva and colleagues developed a comprehensive, high-resolution genomic dataset comprising over 1,500 individuals from 139 ethnic groups – many previously unstudied. This dataset, containing more than 50 million high-quality genetic variants, was analyzed alongside ancient and modern DNA from Native American populations. This helped the authors investigate deep patterns of population history, migration, and adaptation. Gusareva et al. found that Siberian populations trace their ancestry to six ancient lineages, with West Siberian heritage broadly shared across the region. A notable population decline around 10,000 years ago may have been driven by climate change and the loss of megafauna. Moreover, genetic and archaeological evidence suggests that Native Americans diverged from North Eurasians between 26,800 and 19,300 years ago, with west Beringian groups like the Inuit, Koryaks, and Luoravetlans being their closest living relatives. In South America, four distinct Indigenous lineages – Amazonians, Andeans, Chaco Amerindians, and Patagonians – rapidly emerged from a common Mesoamerican origin between 13,900 and 10,000 years ago. The four lineages largely reflect distinct geographical and environmental regions, such as the Andes Mountains, the arid lowlands of the Dry Chaco, the humid tropical rainforests of the Amazon Basin, and the frigid polar climate of Patagonia. According to the authors, rapid geographic isolation of these groups likely reduced genetic diversity, particularly in immune-related HLA genes, which may influence susceptibility to infectious diseases.

A group of researchers, including scientists from the DTU National Food Institute, have developed a method that, with the help of artificial intelligence and DNA decoding, can predict how well disease-causing bacteria such as Listeria tolerate disinfectants. This research may become a valuable weapon in the fight against harmful bacteria in the food industry.