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Learning shapes the processing of biological movements in the human visual cortex.

Recognizing biological movements is a fundamental skill for survival and social interactions. Using combined psychophysics and fMRI, we provide novel evidence that learning shapes biological motion processing across stages of visual analysis in the human brain. We report improved performance after training in discriminating biological movements whose similarity varied parametrically along a spatio-temporal morphing continuum, coupled with increased fMRI selective adaptation to the movement differences. Learning novel human-like movements shaped higher-level processing of known action categories: global movement analysis in hMT+/V5, V3B/KO and generalization of existing representations for prototypical actions to novel exemplars in STSp, FFA. However, learning artificial movements bolstered the formation of novel category representations: integration of local configurations in retinotopic areas, global movement analysis in hMT+/V5, V3B/KO, and processing of biological properties in STSp, FFA. These findings propose distributed experience-based plasticity mechanisms that mediate recognition of complex movements and action understanding in the human visual cortex.

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“Neurocomputation: from brains to machines” 25th November 2015, Corpus Christi College

Nov 09, 2015

You are invited to attend the next in the series of Cambridge Neuroscience Interdisciplinary Workshops on “Neurocomputation: from brains to machines”. This workshop is being hosted by Professor Zoe Kourtzi and is being run in association with the Big Data Strategic Research Initiative.

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