![]() ![]() Probabilistic pattern classifiers were trained on activation patterns in visual and ventrotemporal cortex during individual image trials. Human participants viewed five images individually and sequentially with speeds up to 32 ms between items. We develop a multivariate analysis method for functional magnetic resonance imaging that makes it possible to study sequentially activated neural patterns separated by less than 100 ms with precise spatial resolution. Of particular relevance, fast neural replay is known to occur throughout the brain in a coordinated fashion about which little is known. Yet, investigating such computations in humans is challenging because non-invasive methods have either high temporal or spatial resolution, but not both. ![]() ![]() Neural computations are often fast and anatomically localized. ![]()
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