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To see how cognitive maps form in the brain, researchers used a Janelia-designed, high-resolution microscope with a large field of view to image neural activity in thousands of neurons in the hippocampus of a mouse as it learned. Credit: Sun and Winnubst et al.

Our brains build maps of the environment that help us understand the world around us, allowing us to think, recall, and plan. These maps not only help us to, say, find our room on the correct floor of a hotel, but they also help us figure out if we’ve gotten off the elevator on the wrong floor.

Neuroscientists know a lot about the activity of neurons that make up these maps – like which cells fire when we’re in a particular location. But how the brain creates these maps as we learn remains a mystery.

The highly pathogenic avian influenza H5N1 is an emerging and unexpected threat to many wild animal species, which has implications for ecological processes, ecosystem services and conservation of threatened species. International collaboration and information-sharing is essential for surveillance, early diagnosis and the provision of financial and technical instruments to enable worldwide actions.

Read “” by Sebastian Schepis on Medium.


Imagine a world where thoughts aren’t confined to the brain, but instantly shared across a vast network of neurons, transcending the limits of space and time. This isn’t science fiction, but a possibility hinted at by one of the most puzzling aspects of quantum physics: entanglement.

Quantum entanglement, famously dubbed spooky action at a distance by Einstein, describes a phenomenon where two or more particles become intrinsically linked. They share a quantum state, no matter how far apart they are. Change one entangled particle, and its partner instantly reacts, even across vast distances.

This property, which troubled Einstein, has been repeatedly confirmed through experiments, notably by physicist John Clauser and his colleagues, who received the 2022 Nobel Prize in Physics for their groundbreaking work on quantum entanglement.

Protein prediction involves analyzing the amino acid sequence of a protein to determine its biological roles. Accurately predicting a protein’s provides valuable insights, allowing scientists to identify the roles of newly discovered proteins, search for proteins suited for specific tasks, or evaluate theality of computer-designed proteins.

Copilot provides an AI chat platform offering no-install, no-code, real-time access to advanced protein prediction tools, enabling researchers to efficiently analyze and explores using a single text prompt.

Thanks to their excellent smelling ability, dogs have been used for hundreds of years to hunt down wild game and search for criminals. At airports, they help identify explosives and illicit drugs. In disaster situations, they can rescue survivors and find human remains.

But each dog can only be trained to detect one class of odor compounds, which limits the range of smells it’s able to detect. Training costs tens of thousands of dollars and takes several months. For Florida startup Canaery, the solution is merging canines with neurotechnology to allow them to detect everything from bombs and other contraband to human diseases and environmental toxins—no specialized training needed.

A team of Chinese scientists has used targeted gene editing to develop rice that produces coenzyme Q10 (CoQ10), a vital compound for human health.

Led by Prof. Chen Xiaoya from the CAS Center for Excellence in Molecular Plant Sciences/Shanghai Chenshan Research Center and Prof. Gao Caixia from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences (CAS), the researchers used targeted gene editing to modify just five amino acids of the Coq1 rice enzyme, creating new rice varieties capable of synthesizing CoQ10.

The study is published in Cell.