Neuroscience and education: the gap between structure and cognition

🧠 How do we predict the behavior of our friends? A new study in The Journal of Neuroscience (Aug 2025) reveals that the answer (at least in part) lies in neural synchrony. 📊 Using neuroimaging and behavioral data from real-world social networks, researchers found that: Neural synchrony between individuals plays a central role in anticipating friends’ actions. Prediction is not just an individual brain process but is related to interpersonal alignment of neural activity patterns with people in our social circle. These shared neural dynamics help explain why we can so effectively coordinate, collaborate, and even influence one another. 🌍 Why it matters: Understanding neural synchrony deepens our grasp of social cognition—how we connect, cooperate, and predict each other’s behavior in daily life. 🔎 Read more: https://lnkd.in/e_rxU8cb

🚨 Big step forward for neuroscience. For the first time, scientists have mapped the activity of single neurons across the entire brain during decision-making. That means recording from 600,000+ neurons in 279 brain areas — covering about 95% of the mouse brain volume. An incredible scale that just a few years ago would have sounded impossible. This achievement gives us a first real glimpse of how distributed brain circuits work together to guide behaviour. Exciting times ahead for neuroscience, network science, and computational modeling! https://lnkd.in/dh3McUwu

It's a mind-boggling fact – the human brain generates enough electrical energy to power a small light bulb! This incredible statistic highlights the immense electrical activity occurring within our neural networks every second. But what does this mean for neuroscience research? By leveraging advanced EEG

Your Brain Thinks Faster Than You Realize… And New Research Proves It! Computational Neuroscience researchers have discovered that our brain doesn’t just solve problems—it predicts the future at the neural level! Advanced computational models show that neural networks in our brain exchange information faster than any supercomputer, helping us understand learning, memory, and decision-making in a completely new way. This breakthrough could revolutionize AI, human-computer interaction, and treatments for neurological disorders. If our brains can truly predict the future… what would you love to see this applied to first? #Neuroscience #BrainResearch #ComputationalNeuroscience #AI #NeuroTech #Innovation

Neural Synchrony-The Science Behind ‘Telepathy’ I came across a fascinating neuroscience paper on brain-to-brain synchrony — how two people’s neural patterns align during communication. I turned the findings into a short story-style post designed for the public. The goal? make complex research - ▪️accessible ▪️engaging ▪️relevant This is exactly the kind of transformation I help researchers with — moving ideas from hidden in journals → visible to wider audiences. Because research should be remembered, not just archived. 📩 just drop me a message.

Recent findings provide new insights into how neural networks supporting motor memories form and evolve during skill learning. Initial neural activity is widespread and uncoordinated but becomes more focused and efficient as proficiency increases. This research challenges conventional views on how synaptic connections adapt and may reshape understanding of movement disorders such as Parkinson’s disease. Evidence suggests that Parkinson’s may destabilize motor memories rather than simply impair their activation, highlighting the potential for new therapeutic approaches that focus on stabilizing neural circuits during rehabilitation.

Recent research published in Nature Neuroscience reveals that the auditory cortex processes speech using fixed time windows, regardless of how quickly or slowly speech is presented. This challenges the assumption that the brain adjusts its processing speed to match speech tempo. By recording precise neural activity from epilepsy patients with implanted electrodes, the study found that the auditory cortex integrates information over consistent time intervals, rather than adapting to speech structures. These insights contribute to the development of more accurate computational models of speech processing and may inform future approaches to understanding and addressing language comprehension difficulties.

🧠 We are very pleased and honored to announce that our research “ The Cognitive and Psychological Resilience of Intelligence Analysts in the Age of Artificial Intelligence: Morphological Analysis, Future Scenarios to 2030, and Neurobiological Perspectives” has been published in the scientific journal Synapsis, Journal of Psychological and Interdisciplinary Research. In this work, we analyze the neurocognitive and emotional issues faced by intelligence analysts under the ever-increasing stimulus of data and in the interface with AI.  Thanks to the combination of knowledge of these changes and GMA (General Morphologic Analysis), we suggest the best scenarios to pursue in order to improve and maximize the capabilities of intelligence analysts, with a road map up to 2030. Bilardo. E., and Dyrmishi. E, (2025 ).  The Cognitive and Psychological Resilience of Intelligence Analysts in the Age of Artificial Intelligence: Morphological Analysis, Future Scenarios to 2030, and Neurobiological Perspectives” DOI https://lnkd.in/d342tCP6 synapsis.2025.01.09.pdf

𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗖𝗼𝘃𝗮𝗿𝗶𝗮𝗻𝗰𝗲 𝗠𝗮𝘁𝗿𝗶𝗰𝗲𝘀 The material of our tutorial at IEEE MLSP 2025 covering fundamental aspects between deep learning with covariance relations, as well as discussing applications to network neuroscience. Saurabh Sihag Gonzalo Mateos Alejandro Ribeiro Delft University of Technology University at Albany University of Rochester University of Pennsylvania