Area of research
Cognitive Neuroscience · Artificial Intelligence
Research interest
Research interests include Neural dynamics and brain function, Motor Control and Adaptation, Visual perception and processing mechanisms, and EEG and Brain-Computer Interfaces.
Causal inference on human behaviour
Computational kinematics of dance: distinguishing hip hop genres
A preregistered, Open Pipeline for Early Cerebral Palsy Risk Assessment from Infant Videos
Catalyzing next-generation Artificial Intelligence through NeuroAI
The neuroconnectionist research programme
Tackling Climate Change with Machine Learning
Causal mapping of human brain function
Tackling Climate Change with Machine Learning
Neuromatch Academy: a 3-week, online summer school in computational neuroscience
MoVi: A large multi-purpose human motion and video dataset
Recording Temporal Signals with Minutes Resolution Using Enzymatic DNA Synthesis
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
A deep learning framework for neuroscience
Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets
Pain: A Statistical Account
Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography
A cryptography-based approach for movement decoding
Toward an Integration of Deep Learning and Neuroscience
Chunking as the result of an efficiency computation trade-off
Towards an integration of deep learning and neuroscience
High-Reproducibility and High-Accuracy Method for Automated Topic Classification
Deep networks for motor control functions
Serotonin Affects Movement Gain Control in the Spinal Cord
Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones
Physical principles for scalable neural recording
Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons
Measuring Cation Dependent DNA Polymerase Fidelity Landscapes by Deep Sequencing