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By analyzing the relationship between a neural system's output (behavior) and input (stimuli), we can gain significant insights into its functioning. However, comprehensive understanding requires techniques to directly measure neural activity. Most measurement approaches are invasive, which presents several challenges: (1) they modify the very system being studied, (2) frequently require anesthesia that affects neural processes, (3) may cause animal distress, and (4) are typically unsuitable for human research. Non-invasive neuroimaging techniques, while currently offering lower spatial and temporal precision than invasive methods, avoid these limitations and thus play a crucial role in neuroscience research.
The Biophysics Group actively contributes to advancing this dynamic field across multiple fronts. Teams specializing in physics and chemistry are creating technological solutions for EEG, fMRI, and PET imaging. Meanwhile, computational experts are designing analytical approaches to handle the vast, intricate datasets produced by neuroimaging. Additionally, we're implementing these techniques to investigate neural mechanisms involved in sensory and cognitive functions across species, examining both normal and pathological conditions.