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Learning Multiple Feature Representations from Natural Image Sequences.

, , , and . ICANN, volume 2415 of Lecture Notes in Computer Science, page 21-26. Springer, (2002)

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Learning Multiple Feature Representations from Natural Image Sequences., , , and . ICANN, volume 2415 of Lecture Notes in Computer Science, page 21-26. Springer, (2002)Consistent pre-stimulus influences on auditory perception across the lifespan., , and . NeuroImage, (2019)Acoustic Noise Improves Visual Perception and Modulates Occipital Oscillatory States., and . J. Cognitive Neuroscience, 26 (4): 699-711 (2014)Immersive Composition for Sensory Rehabilitation: 3D Visualisation, Surround Sound, and Synthesised Music to Provoke Catharsis and Healing., , and . SGDA, volume 8778 of Lecture Notes in Computer Science, page 134-149. Springer, (2014)Sounds facilitate visual motion discrimination via the enhancement of late occipital visual representations., , and . NeuroImage, (2017)Learning the Nonlinearity of Neurons from Natural Visual Stimuli., , and . Neural Computation, 15 (8): 1751-1759 (2003)Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices., , and . PLoS Computational Biology, (2012)Extracting Slow Subspaces from Natural Videos Leads to Complex Cells., , , , and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 1075-1080. Springer, (2001)Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands., , , , and . Journal of Computational Neuroscience, 29 (3): 533-545 (2010)Auditory cortical delta-entrainment interacts with oscillatory power in multiple fronto-parietal networks., , , and . NeuroImage, (2017)