L. Harrison

发表

A free energy principle for the brain

Karl J. Friston, J. Kilner, L. Harrison, 2006, Journal of Physiology-Paris.

Biophysical models of fMRI responses

Karl J. Friston, W. Penny, L. Harrison, 2004, Current Opinion in Neurobiology.

Multivariate Autoregressive Modelling of fMRI time series

Karl J. Friston, L Harrison, W. D Penny, 2003 .

Time Scales of Representation in the Human Brain: Weighing Past Information to Predict Future Events

W. Penny, L. Harrison, G. Green, 2011, Front. Hum. Neurosci..

Trial-by-Trial Fluctuations in the Event-Related Electroencephalogram Reflect Dynamic Changes in the Degree of Surprise

S. Debener, P. Haggard, J. Rothwell, 2008, The Journal of Neuroscience.

Influence of Uncertainty and Surprise on Human Corticospinal Excitability during Preparation for Action

Karl J. Friston, Lee M. Harrison, Sven Bestmann, 2008, Current Biology.

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

Karl J. Friston, J. Kilner, L. Harrison, 2022 .

Dynamic causal models of neural system dynamics: current state and future extensions

Karl J. Friston, Olivier David, Stefan J Kiebel, 2007, Journal of Biosciences.

Influence of Uncertainty and Surprise itability during Preparation for Action

Karl J. Friston, P. Haggard, J. Rothwell, 2022 .

Parallel cortical-brainstem pathways to attentional analgesia

Jonathan C. W. Brooks, Anthony E. Pickering, Rob Gregory, 2020, NeuroImage.

Dynamic causal models of brain responses

Karl J. Friston, W. Penny, L. Harrison, 2004 .

Brain connectivity workshop, Cambridge UK, may 2003

Karl J. Friston, Edward T. Bullmore, Lee M. Harrison, 2007, Neuroinformatics.

Encoding uncertainty in the hippocampus

Karl J. Friston, Lee M. Harrison, Andrew Duggins, 2006, Neural Networks.

Integrated Bayesian models of learning and decision making for saccadic eye movements☆

Karl J. Friston, William D. Penny, Klaas E. Stephan, 2008, Neural Networks.

Bayesian model selection maps for group studies

William D. Penny, Lee M. Harrison, Sven Bestmann, 2009, NeuroImage.

Dynamic causal modelling

Karl J. Friston, K. J. Friston, L. Harrison, 2003, NeuroImage.

CHAPTER 33 – Neuronal models of EEG and MEG

Karl J. Friston, Lee M. Harrison, Olivier David, 2007 .

Parallel cortical-brainstem pathways to attentional analgesia

Anthony E. Pickering, Rosalyn Moran, Lee Harrison, 2020, NeuroImage.

Graph-partitioned spatial priors for functional magnetic resonance images

Karl J. Friston, William D. Penny, Nikolaus Weiskopf, 2008, NeuroImage.

Dynamic causal modeling of evoked responses in EEG and MEG

Karl J. Friston, Stefan J. Kiebel, Jérémie Mattout, 2006, NeuroImage.

Modelling event-related responses in the brain

Karl J. Friston, Olivier David, Lee Harrison, 2005, NeuroImage.

A report of the functional connectivity workshop, Dusseldorf 2002

Andrea Mechelli, Lucy Lee, Lee M Harrison, 2003, NeuroImage.

Extra-classical receptive field effects measured in striate cortex with fMRI

Karl J. Friston, Geraint Rees, Klaas E. Stephan, 2007, NeuroImage.

Multivariate autoregressive models

W. Penny, L. Harrison, L. Harrison, 2007 .

Nonlinear Dynamic Causal Models for Fmri Nonlinear Dynamic Causal Models for Fmri Nonlinear Dynamic Causal Models for Fmri

Karl J. Friston, Michael Breakspear, Klaas E. Stephan, 2022 .

Stochastic models of neuronal dynamics

Karl J. Friston, L. Harrison, O. David, 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

Population dynamics under the Laplace assumption

Karl J. Friston, Stefan J. Kiebel, André C. Marreiros, 2009, NeuroImage.

Diffusion-based spatial priors for functional magnetic resonance images

Karl J. Friston, William D. Penny, Jean Daunizeau, 2008, NeuroImage.

Multiple sparse priors for the M/EEG inverse problem

Karl J. Friston, Guillaume Flandin, Stefan J. Kiebel, 2008, NeuroImage.

Diffusion-based spatial priors for imaging

Karl J. Friston, Nelson J. Trujillo-Barreto, Lee M. Harrison, 2007, NeuroImage.

CHAPTER 31 – Neuronal models of ensemble dynamics

Karl J. Friston, Lee M. Harrison, Olivier David, 2007 .

The Functional Brain Connectivity Workshop: report and commentary

Andrea Mechelli, Lucy Lee, Lee M Harrison, 2003, Network.

A Bayesian spatiotemporal model for very large data sets

Lee M. Harrison, Gary G. R. Green, L. Harrison, 2010, NeuroImage.

Effective Connectivity

Karl J. Friston, Klaas E. Stephan, Lee M. Harrison, 1973 .

Form and content

Karl J. Friston, L. Harrison, K. Stephan, 1979 .

Dynamic causal modelling

Karl J. Friston, L. Harrison, W. Penny, 2003, NeuroImage.

Nonlinear dynamic causal models for fMRI

Karl J. Friston, J. Daunizeau, M. Breakspear, 2008, NeuroImage.

Dynamic causal modeling of evoked responses in EEG and MEG

Karl J. Friston, S. Kiebel, J. Kilner, 2006, NeuroImage.

Modelling event-related responses in the brain

Karl J. Friston, L. Harrison, O. David, 2005, NeuroImage.

Dynamic Causal Modeling of Evoked Responses in Eeg and Meg

S. Kiebel, L. Harrison, J. Mattout, 2005 .

Multivariate autoregressive modeling of fMRI time series

Karl J. Friston, L. Harrison, W. Penny, 2003, NeuroImage.

Diffusion-based spatial priors for imaging

Karl J. Friston, W. Penny, J. Ashburner, 2007, NeuroImage.