2024 Circular Clustering With Polar Coordinate Reconstruction Xiaoxiao Sun Paul Sajda Ouvrai opens access to remote virtual reality studies of human behavioural neuroscience Evan Cesanek Sabyasachi Shivkumar James N. Ingram Daniel M. Wolpert Transcutaneous cervical vagus nerve stimulation improves sensory performance in humans: a randomized controlled crossover pilot study Michael Jigo Jason B. Carmel Qi Wang Charles Rodenkirch PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments Ziheng Li Haowen Wei Ziwen Xie Yunxiang Peng June Pyo Suh Steven Feiner Paul Sajda 2023 Pupil-linked arousal correlates with neural activity prior to sensorimotor decisions Sharath Koorathota Jia Li Ma Josef Faller Linbi Hong Pawan Lapborisuth Paul Sajda Judging the difficulty of perceptual decisions Anne Löffler Ariel Zylberberg Michael N. Shadlen Daniel M. Wolpert Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noise Tianyao Zhu Jason P. Gallivan Daniel M. Wolpert J. Randall Flanagan Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI Linbi Hong Hengda He Paul Sajda Pupil-linked arousal modulates network-level EEG signatures of attention reorienting during immersive multitasking Pawan Lapborisuth Sharath Koorathota Paul Sajda Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties Evan Cesanek J. Randall Flanagan Daniel M. Wolpert Pupillary response is associated with the reset and switching of functional brain networks during salience processing Hengda He Linbi Hong Paul Sajda The Computational and Neural Bases of Context-Dependent Learning James B. Heald Daniel M. Wolpert Máté Lengyel Neuromodulation of Neural Oscillations in Health and Disease Evan Weiss Michael Kann Qi Wang Object weight can be rapidly predicted, with low cognitive load, by exploiting learned associations between the weights and locations of objects Zhaoran Zhang Evan Cesanek James N. Ingram J. Randall Flanagan Daniel M. Wolpert Featured Publication edit publication {{ name }} . . . Abstract Citation No resultsThere are no publications with the provided filters. Sort Publications By Keyword filter: {{ filter.label }}
Ouvrai opens access to remote virtual reality studies of human behavioural neuroscience Evan Cesanek Sabyasachi Shivkumar James N. Ingram Daniel M. Wolpert
Transcutaneous cervical vagus nerve stimulation improves sensory performance in humans: a randomized controlled crossover pilot study Michael Jigo Jason B. Carmel Qi Wang Charles Rodenkirch
PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments Ziheng Li Haowen Wei Ziwen Xie Yunxiang Peng June Pyo Suh Steven Feiner Paul Sajda
Pupil-linked arousal correlates with neural activity prior to sensorimotor decisions Sharath Koorathota Jia Li Ma Josef Faller Linbi Hong Pawan Lapborisuth Paul Sajda
Judging the difficulty of perceptual decisions Anne Löffler Ariel Zylberberg Michael N. Shadlen Daniel M. Wolpert
Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noise Tianyao Zhu Jason P. Gallivan Daniel M. Wolpert J. Randall Flanagan
Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI Linbi Hong Hengda He Paul Sajda
Pupil-linked arousal modulates network-level EEG signatures of attention reorienting during immersive multitasking Pawan Lapborisuth Sharath Koorathota Paul Sajda
Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties Evan Cesanek J. Randall Flanagan Daniel M. Wolpert
Pupillary response is associated with the reset and switching of functional brain networks during salience processing Hengda He Linbi Hong Paul Sajda
The Computational and Neural Bases of Context-Dependent Learning James B. Heald Daniel M. Wolpert Máté Lengyel
Object weight can be rapidly predicted, with low cognitive load, by exploiting learned associations between the weights and locations of objects Zhaoran Zhang Evan Cesanek James N. Ingram J. Randall Flanagan Daniel M. Wolpert
