Articles tagged with Computational Neuroscience
Researchers have linked specific neurons to a type of somatosensation, opening the door for a better understanding of our sense of touch. The study found that these neurons respond uniquely to certain tactile stimuli and receive direct synaptic input from other brain regions.
Researchers have developed a new method to analyze electrical activity in the brain, enabling better diagnosis and treatment of brain illnesses. The technique can help identify impending seizures and paralysis, allowing for more effective interventions.
Scientists at LMU Munich developed a mathematical model that accurately mimics human sound recognition, showing the brain compares stored and perceived sounds efficiently. The new library-based model predicts the flow of information from cerebrum to thalamus, enabling highly efficient real-time implementation.
A walking robot, RunBot, has been engineered to mimic human gait and adapt to different environments, including mountainous terrain. The robot's ability to learn from trial and error allows it to adjust its gait in response to visual input, ensuring stability and balance on slopes.
Researchers developed a new approach to interpreting brain electroencephalograms that provides an unprecedented view of thought in action. The technique uses Independent Component Analysis to separate signals from different areas of the brain, enabling detailed insights into neural dynamics.
A Princeton scientist created a computer model of a mouse brain that can recognize spoken words, challenging conventional views on sensory perception. The model uses sensitive timing of electrical signals to perform calculations, potentially leading to faster and more sophisticated brain functions.