Penny, Will D.

Dynamic causal modelling

Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage

Functional Brain Connectivity StudiesBayesian Modeling and Causal Inference

Cited by 4,583

Bayesian model selection for group studies

Stephan, K. E., Penny, W. D., Daunizeau, J., Moran, R. J., & Friston, K. J. (2009) · NeuroImage

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 1,423

Variational free energy and the Laplace approximation

Friston, K., Mattout, J., Trujillo-Barreto, N., Ashburner, J., & Penny, W. (2007) · NeuroImage

Gaussian Processes and Bayesian InferenceStatistical Methods and Bayesian Inference

Cited by 880

Comparing dynamic causal models.

Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004) · NeuroImage

Functional Brain Connectivity StudiesBayesian Modeling and Causal Inference

Cited by 848

Ten simple rules for dynamic causal modeling

Stephan, K. E., Penny, W. D., Moran, R. J., den Ouden, H. E. M., Daunizeau, J., & Friston, K. J. (2010) · NeuroImage

Functional Brain Connectivity StudiesNeural dynamics and brain function

Cited by 803

Comparing families of dynamic causal models

Penny, W. D., Stephan, K. E., Daunizeau, J., Rosa, M. J., Friston, K. J., Schofield, T. M., & Leff, A. P. (2010) · PLoS Computational Biology

Functional Brain Connectivity StudiesBayesian Modeling and Causal Inference

Cited by 688

Conjunction revisited

Friston, K. J., Penny, W. D., & Glaser, D. E. (2005) · NeuroImage

Functional Brain Connectivity StudiesStatistical Methods in Clinical Trials

Cited by 578

Comparing dynamic causal models using AIC, BIC and free energy

Penny, W. D. (2012) · NeuroImage

Functional Brain Connectivity StudiesBayesian Modeling and Causal Inference

Cited by 298

Theta-Coupled Periodic Replay in Working Memory

Fuentemilla, L., Penny, W. D., Cashdollar, N., Bunzeck, N., & Düzel, E. (2010) · Current Biology

Neural dynamics and brain functionMemory and Neural Mechanisms

Cited by 216

Dissecting psychiatric spectrum disorders by generative embedding

Brodersen, K. H., Deserno, L., Schlagenhauf, F., Lin, Z., Penny, W. D., Buhmann, J. M., & Stephan, K. E. (2014) · NeuroImage: Clinical

Functional Brain Connectivity StudiesMental Health Research Topics

Cited by 173

Behavioral modeling of human choices reveals dissociable effects of physical effort and temporal delay on reward devaluation

Klein-Flügge, M. C., Kennerley, S. W., Saraiva, A. C., Penny, W. D., & Bestmann, S. (2015) · PLoS Computational Biology

Decision-Making and Behavioral EconomicsNeural and Behavioral Psychology Studies

Cited by 163

Variational Bayes for generalized autoregressive models

Roberts, S. J., & Penny, W. D. (2002) · IEEE Transactions on Signal Processing

Bayesian Methods and Mixture ModelsControl Systems and Identification

Cited by 157

Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI

Rosa, M. J., Kilner, J., Blankenburg, F., Josephs, O., & Penny, W. (2010) · NeuroImage

Advanced MRI Techniques and ApplicationsOptical Imaging and Spectroscopy Techniques

Cited by 105

Sensor space group analysis for fNIRS data

Tak, S., Uga, M., Flandin, G., Dan, I., & Penny, W. D. (2016) · Journal of Neuroscience Methods

Optical Imaging and Spectroscopy TechniquesFunctional Brain Connectivity Studies

Cited by 83

Auditory training changes temporal lobe connectivity in ‘Wernicke’s aphasia’: a randomised trial

Woodhead, Z. V., Crinion, J., Teki, S., Penny, W., Price, C. J., & Leff, A. P. (2017) · Journal of Neurology, Neurosurgery & Psychiatry

Neurobiology of Language and BilingualismHearing Loss and Rehabilitation

Cited by 56

A dynamic Bayesian model of homeostatic control

Penny, W., & Stephan, K. (2014) · Lecture Notes in Computer Science

Memory and Neural MechanismsAI-based Problem Solving and Planning

Cited by 10