Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks

Encoding models are used for predicting brain activity in response to sensory stimuli with the objective of elucidating how sensory information is represented in the brain. Encoding models typically comprise a nonlinear transformation of stimuli to features (feature model) and a linear convolution o...

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Veröffentlicht in:	Frontiers in computational neuroscience 2017-02, Vol.11, p.7-7
Hauptverfasser:	Güçlü, Umut, van Gerven, Marcel A J
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Brain Brain mapping Functional magnetic resonance imaging Machine learning Memory Neural networks Neuroimaging Neuroscience Noise Semantics Sensory stimuli Software Time series
Online-Zugang:	Volltext
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