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This study builds on observations first made in 1983, which sparked debates and further research into plant communication.

Over the years, scientists have uncovered various ways plants interact, from chemical signals to underground networks formed by fungi.

“We have finally unveiled the intricate story of when, where, and how plants respond to airborne ‘warning messages’ from their threatened neighbors,” Dr. Toyota emphasized.

Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) at the University of Göttingen and the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) has programmed these infomorphic neurons and constructed artificial neural networks from them. The special feature is that the individual artificial neurons learn in a self-organized way and draw the necessary information from their immediate environment in the network.

The results were published in PNAS (“A general framework for interpretable neural learning based on local information-theoretic goal functions”).

Both, human brain and modern artificial neural networks are extremely powerful. At the lowest level, the neurons work together as rather simple computing units. An artificial neural network typically consists of several layers composed of individual neurons. An input signal passes through these layers and is processed by artificial neurons in order to extract relevant information. However, conventional artificial neurons differ significantly from their biological models in the way they learn.

A cybersecurity incident affecting nearly half a million people has exposed personal, financial and medical information.

The mobility and assistive solutions provider Numotion says 494,000 customers are affected by a data breach witnessed between September 2nd, 2024, and November 18th, 2024, reports Security Week.

Numotion says an unknown entity managed to access the email accounts of the firm’s employees without authorization several times.

In a remarkable leap forward for science, researchers at CERN have successfully created and observed top quarks—one of nature’s most elusive and unstable particles—inside a lab for the very first time. This breakthrough, announced by the ATLAS team at the Large Hadron Collider (LHC), promises to reshape our understanding of the early Universe and the fundamental makeup of matter.

Past neuroscience and psychology studies have shown that after the human brain encodes specific events or information, it can periodically reactivate them to facilitate their retention, via a process known as memory consolidation. The reactivation of memories has been specifically studied in the context of sleep or rest, with findings suggesting that during periods of inactivity, the brain reactivates specific memories, allowing people to remember them in the long term.

Researchers at the University of Pennsylvania and other institutions in the United States recently conducted a study exploring the possibility that the brain engages in a similar reactivation process during wakefulness to store important information for shorter periods of time. Their findings, published in Nature Neuroscience, suggest that the spontaneous reactivation of specific stimuli in the brain during the brief intervals between their encoding predicts the accuracy with which people remember them at the end of a task.

“Mike Kahana and I were both quite interested in the long history of thinking about rehearsal and its effects on the way in which people later recalled things,” Dr. David Halpern, the first author of the paper, told Medical Xpress. “Rehearsal is challenging to study since people often do it without any overt behavior (unless we ask them to rehearse out loud).”