Yeison Nolberto Cardona Alvares’ Post

How does the brain decide what we actually see? New collaborative study led by Janine Mendola, published open-access in iScience. When each eye is presented with a different image, our perception flips back and forth between them. This phenomenon, called "binocular rivalry", opens a window into the nature of conscious visual perception. We tracked, in real time with MEG imaging, how the brain coordinates these perceptual switches. We found that changes in brain rhythms determine when one image takes over, when perception becomes unstable, and how information flows between visual areas and higher-order regions. One step toward better understanding the neurophysiological foundations of conscious experience. 🌈 🔗 https://lnkd.in/eXHvSSZc Star trainees in charge: Eric Mokri & Jason da Silva Castanheira 

🏥 Stanford’s Inner Speech BCI Shows Patients Want More Than Accuracy Stanford University School of Medicine researchers have demonstrated a brain-computer interface that decodes inner speech, silently imagined words, into text in real time. Reported in Cell Press, the study involved participants with ALS and stroke, who preferred inner speech over attempted speech for being less tiring, faster, and more discreet. The work highlights a new dimension in the BCI race: usability. While the main BCI players have focused on attempted-speech decoding, Stanford’s results suggest that patient comfort may prove just as decisive as accuracy benchmarks. The team also introduced safeguards, such as keyword unlocking, to prevent unintended decoding, an important example of ethical design built directly into BCI technology. #Neurotech #BCI #BrainComputerInterface #Neuroscience #DeepTech #BrainTech #Stanford

Recent research from Dr. Theofanis Karayannis and colleagues investigated how local inhibitory circuits shape sensory processing in the mouse barrel cortex. Their findings suggest that inhibitory dynamics regulate the balance between temporal integration and spatial segregation of sensory signals, distinguishing processing within barrels versus septa. To capture these dynamics, the team recorded neural activity using NeuroNexus A8x8-100-200-177 multi-shank silicon probes, enabling simultaneous population recordings across cortical microcircuits. Read the “Local Inhibitory Dynamics Underpin Temporal Integration and Functional Segregation between Barrels and Septa in the Mouse Barrel Cortex” here: https://hubs.li/Q03Hw9M00

" Scientists in California have developed what they say is the first brain implant capable of decoding and vocalising inner speech — words imagined in the head by people whose paralysis prevents them from even attempting to speak. Researchers had previously given a voice to people unable to speak by picking up signals in the brain’s motor cortex as they tried to make movements of mouth, tongue, lips and vocal cord. Now the team at Stanford University has managed to bypass the need to attempt physical speech. “This is the first time we’ve managed to understand what brain activity looks like when you just think about speaking,” said Erin Kunz of Stanford, lead author of a paper describing the project in the journal Cell. “For people with severe speech and motor impairments, brain-computer interfaces [BCIs] capable of decoding inner speech could help them communicate much more easily and more naturally.” https://lnkd.in/gbVEy8hE

Our paper on using EEG to predict document relevance has been just accepted to ACM Transactions on Information Systems. We introduce a bimodal model that predicts document-level relevance during reading and outperforms EEG-only and text-only baselines. Our findings highlight the potential of human brain signals to model personalised document relevance. Full paper: https://lnkd.in/e_ubSpfe #EEG #IR #NeuroIR #Research #ACM #TOIS

Entry two of GABA's Long-Term Potentiation: Founder's Series on Neural Mechanics. Cerebellar circuits provide an intriguing avenue for theoretical BCI integration.

💥 Profile 💥 Silvio Rizzoli and Ali Shaib: Democratizing Molecular Resolution: When a standard lab microscope in Göttingen, Germany, revealed structures as small as individual protein molecules, scientists were shocked. In a field where seeing anything below 60 nms once required million-dollar machines, Dr. Ali Shaib and Professor Silvio Rizzoli achieved the seemingly impossible. Here's how they developed One-step Nanoscale Expansion (ONE) microscopy. https://lnkd.in/exYYQhzW Image: Artist’s impression of the first protein structure of the GABAA receptor solved by ONE microscopy. © Shaib/Rizzoli, umg/mbexc, (left) At the Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Dr Ali Shaib leads a team of scientists that explore nanomolecules with precision-crafted, next-generation resolution, powered by state-of-the-art AI innovation. © UMG, (right) Professor Silvio Rizzoli leads the Quantitative Synaptology in Space and Time lab and is also Director of the Department of Neuro- and Sensory Physiology at the University Medical Center Göttingen. © UMG #microscopy #expansionmicroscopy #superresolution #ONEmicroscopy #wileyanalyticalscience #MicroscopyandAnalysis Ali Shaib Dr Rebecca Pool

Dear Colleagues, here is an example of 20 channels EEG #artifacts correction with rASR (Riemannian Modification of Artifact Subspace Reconstruction) technique. First 20 seconds is calibration period, then blue signal is corrected one. I'm so much impressed by this method, actively use it in my art&science project (#minddrawplay) in real-time with mobile 4-channels neurointerface (#BrainBit). It efficiently allows to eliminate short artifacted areas (blinks, muscle movements) by substitution with interpolation based on properties of EEG signal derived from calibration time. The implementation is in C++ and based on modification of original method presented in paper (Blum et al., 2019, Frontiers, https://lnkd.in/dKF8kgGN). I see this technique as a significant part in EEG signal processing, especially, for mobile EEG devices, because it provides with more robust and high quality signal. Definitely, there are many points to investigate, such as influence of calibration signal and model parameters on the correction as well as spectral properties in the corrected areas.

💎 Author Raghu Srinivas Aryasomayajula 13. Lens Science, University of Auckland. (n.d.). Understanding circadian rhythms: Case Study. Retrieved from https://lnkd.in/gjv_9jGt 14. ScienceDirect. (2016). The Circadian Clock and Human Health. Retrieved from https://lnkd.in/gY_-UtEr 15. Physiological Society. (2014). Fractals in human physiology revisited. Retrieved from https://lnkd.in/g8dXEnwH 16. National Center for Biotechnology Information (NCBI). (2005). Neuroarchitecture: How the perception of our surroundings impacts our brain. Retrieved from https://lnkd.in/gA8w6Rnq 17. Meegle. (n.d.). Neural network case studies. Retrieved from https://lnkd.in/gJnDPeyv 18. Proceedings of the National Academy of Sciences (PNAS). (2023). What visual perception tells us about mind and brain. Retrieved from https://lnkd.in/gdgMgcpT 19. Number Analytics. (n.d.). Cosmic Patterns Unveiled: Astronomy and human perception. Retrieved from https://lnkd.in/gzqYcgMx 20. ResearchGate. (2025). Emergent Cosmic Consciousness: Exploring the intersection of GANs, dynamic systems, and human perception. Retrieved from https://lnkd.in/ggnnUS6e 21. Annual Reviews. (2023). Seeing the Light: Perception and Discrimination of Illumination Color. Retrieved from https://lnkd.in/gfwjVjwc

QUBIC Themes Workshop 2025 | Katoomba, NSW In the International Year of Quantum, we’re showing what it means to bring quantum to life! At our annual Themes Workshop, 60+ researchers from across physics, biology, chemistry, and neuroscience came together to explore how quantum technologies are transforming the way we understand molecules, cells, and the brain. This is more than a research showcase; it's a deep dive into how quantum tools are paving the way to solve real-world biological challenges. Talks on nanodiamond biosensors, quantum-enhanced imaging, and omics data integration revealed how QUBIC research is tackling urgent problems like early disease detection and neurodegenerative disorders. With early-career researchers leading sessions and industry voices in the room, the workshop highlighted the power of collaboration to drive innovation, translation, and impact. A huge thank you to our theme leads Irina Kabakova, Martin Stroet, Elizabeth Hinde, and Lezanne Ooi for curating the program, and to Fernando Guerra Alves from Quantum Australia and Mark P. Waller from Pending AI for their valuable perspective on translation and impact. Read more on our website: https://lnkd.in/g7ss293w   #BringingQuantumToLife #LifeChangingTechnologies #QuantumBiotech #QUBIC #QUBICPeople #ScientificCollaboration #QuantumTechnologies #ARC #InnovationInScience #RealWorldImpact