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Lab-grown brain organoids are emerging as a revolutionary alternative to traditional neural networks, potentially outperforming AI systems in cognitive tasks. This biological approach to intelligence development is gaining traction among researchers worldwide.
This article explains the neurobiological mechanisms behind AI addiction, exploring how large language models trigger dopamine responses and create compulsive usage patterns similar to substance addiction.
This article explores how stress signals can be understood as adaptive mechanisms that drive performance, drawing parallels between human neurobiology and advanced AI systems.
Learn how artificial intelligence and brain imaging are used to decode language from brain signals, with practical applications in understanding the brain and helping people with communication disorders.
Learn how to install and use Meta's NeuralSet package to analyze neuroscientific data with AI techniques, including fMRI, M/EEG, and HuggingFace embeddings.
Max Hodak's Science Corp. is preparing to place its first sensor in a human brain, potentially revolutionizing treatment for neurological conditions. The device delivers gentle electrical stimulation to damaged brain or spinal cord cells to encourage healing.
Meta has developed an AI model that accurately predicts how the human brain reacts to images, sounds, and speech, outperforming individual brain scans in its precision.
Learn how Meta's new AI model TRIBE v2 helps decode brain activity in response to videos, audio, and text, and why this breakthrough matters for neuroscience and AI.
Eon Systems has achieved the first full brain emulation of a fruit fly connected to a simulated body, marking a major milestone in neuroscience and AI.
