Below is a list of abstracts published in proceedings of international conferences and workshops.



Do glitches in the OFC neural code explain irrational choices? A neuro-computational approach to value synthesis

J. Benon, J. Daunizeau

The 5th quadrennial meeting on orbitofrontal cortex function (2024)


Self-Efficacy and Motivation: Confidence controls Effort

W. Hopper, J. Daunizeau

Symp. Biol. Decision Making (2023)


Neuro-computational modelling of value construction

J. Benon, J. Daunizeau

Symp. Biol. Decision Making (2023)


Self-Efficacy and Motivation: confidence controls effort

W. Hopper, J. Daunizeau

Cognitive Control and Performance Monitoring: 405423 (2021)


Motivational control of decision making in wildtype mice and the Sapap3-KO mouse model of compulsive-like behavior using an automated, high throughput behavioural task

Schreiweis, C., Feltgen, Q., Euvrard, M., Daunizeau, J.*, Burguière, E.*

NeuroFrance (2021) 


The impact of biological constraints on decision making

J. Brochard, J. Daunizeau

Symp. Biol. Decision Making (2019)


Trading effort for confidence during multi-alternative decision making

D. Lee, J. Daunizeau

Symp. Biol. Decision Making (2019)


Spending effort to purchase confidence: a cost-benefit arbitrage framework of effort allocation in perceptual decision tasks

Q. Feltgen, C. Schreiweis, E. Burguière, J. Daunizeau

Symp. Biol. Decision Making (2019)


Normal and pathological motivational control of decision making in mice

C. Schreiweis, Q. Feltgen, M. Euvrard, J. Daunizeau, E. Burguière

IBAGS (2019)


The motivational control of mental effort allocation during decision making

D. Lee, J. Daunizeau

NeuroPsychoEconomics (2019)


Motivational control of decision making in mice using an automated, high throughput behavioral task

C. Schreiweiss, M. Gacoin, G. Pendera, J. Daunizeau, E. Burguière

FENS Forum (2018)


Motivational Control of Mental Effort Allocation during Decision-Making

D. Lee, J. Daunizeau

Symp. Biol. Decision Making (2018) & Neuroeconomics Talks (2018)


Identifying the Computational Role of the TPJ for Strategic Social Interactions

A. Konovalov, C. A. Hill, J. Daunizeau, C. C. Ruff

Symp. Biol. Decision Making (2018)


Assessing brain-behaviour relationships with mediation analysis

J. Brochard, J. Daunizeau

Symp. Biol. Decision Making (2017)


The first step of reciprocity: bidirectional social influence intact in ASD

M. Devaine, A. Duquette, B. Forgeot d'Arc, J. Daunizeau

Int. Meet. Autism Res. (2015)


Shortcutting reciprocity: using similar, low-recursion learning styles to predict humans and machines behaviour underpins strengths and weaknesses in ASD. A computational psychiatry study.

M. Devaine, A. Duquette, B. Forgeot d'Arc, J. Daunizeau

Int. Meet. Autism Res. (2015)


A white lie? Subjective experience of deception inadults with ASD

A. Duquette, M. Devaine, J. Daunizeau, B. Forgeot d'Arc

Int. Meet. Autism Res. (2015)


Playing hide and seek with primates: A comparative study of Theory of Mind

A. San‑Galli, M. Devaine, C. Trapanese, S. Masi, S. Bouret, J. Daunizeau

Revue de Primatologie, résumés du 27e colloque de la SFDP (2015)


Dynamic Causal Modelling of brain-behaviour relationships

L. Rigoux, J. Daunizeau

SIAM Conf. Comput. Sci. Eng. (2015)


The evolution of Theory of Mind: a computational, behavioural and ethological approach

M. Devaine, A. san Galli, S. Masi, G. Hollard, S. Bouret, J. Daunizeau

Proc. Cog. Evo. (2014)


Learning canonical dimensions of others' preferences

M. Devaine, J. Daunizeau

Proc. Soc. Neuroecon. (2013)


Theory of Mind:lessons from inverse Bayesian decision theory

J. Daunizeau, M. Devaine

Proc. Soc. Neuroecon. (2013) 


A causal role for dopamine in incentive motivation: evidence from Parkinson’s disease and medication

R. Le Bouc, L. Schmidt, L. Rigoux, J. Daunizeau, S. Palminteri, B. Degos, D. Dormont, M. Vidailhet, M. Pessiglione

Proc. Soc. Neuroecon. (2013)


Playing hide and seek with monkeys: A computational account of Theory of Mind

A. San-Galli, M. Devaine, S. Bouret, J. Daunizeau

Proc. Neural circuits for adaptive control of behavior (2013)


Behavioural DCM: the brain-scale route to decisions

L. Rigoux, J. Daunizeau

Proc. Neural circuits for adaptive control of behavior (2013)


Learning canonical dimensions of others' preferences

M. Devaine, J. Daunizeau

Proc. Neural circuits for adaptive control of behavior (2013)


Behavioural DCM: the brain-scale route to decisions

L. Rigoux, J. Daunizeau

Third International Symposium on The Biology of Decision Making. (SBDM 2013)


A causal role for dopamine in incentive motivation: evidence from Parkinson’s disease and medication

R. Le Bouc, L. Schmidt, L. Rigoux, J. Daunizeau, S. Palminteri, B. Degos, D. Dormont, M. Vidailhet, M. Pessiglione

Third International Symposium on The Biology of Decision Making. (SBDM 2013)


Behavioural DCM: identifying the neural route to decisions

L. Rigoux, J. Daunizeau

Proc. of the Hum. Brain Mapp. (OHBM 2013)

 

Computational modeling of perceptual inference: a hierarchical Bayesian approach that allows for individual differences in weighting of input

C. Mathys, J. Daunizeau, S. Iglesias, A. O. Diaconescu, L. A. E. Weber, K. J. Friston, K. E. Friston, K. E. Stephan

Int. J. Psychophysiol. (2012) 85(3): 317-318


Neural fields and the separation of time scales: an electrophysiological validation of stochastic DCM for fMRI

J. Daunizeau, L. Lemieux, A. Vaudano, K. Friston, K E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2012)


Variational Bayesian mixed-effects inference for classification studies

K.H. Brodersen, J. Daunizeau, C. Mathys, J.R. Chumbley, J.M. Buhmann, K.E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2012)


Free-Energy Minimization and the Mismatch Negativity: Simulations based on Generalised Filtering. 

F. Lieder, J. Daunizeau, M. I. Garrido, K. E. Stephan, K. J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2012)


Parameter estimation in a Bayesian hierarchical model of learning: a comparison of four methods

C. Mathys, E. Lomakina, J. Daunizeau, S. Iglesias, K. E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2012)


Coupled neural fields: intrinsic modulation of extrinsic coupling

J. Daunizeau, D. Pinotsis, K. E. Stephan, K. J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2011)


Observing the observer: deciding when to decide

J. Daunizeau, H. Den Ouden, M. Pessiglione, K. J. Friston, K. E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2011)


Optimizing experimental design for identifying networks in the brain using fMRI

J. Daunizeau, K. Preuschoff, K. J. Friston, K. E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2011)


Accumulating evidence to optimize effort production: a model-based effort study

F. Meyniel, L. Rigoux, J. Daunizeau, M. Pessiglione

Proc. of the Hum. Brain Mapp. (OHBM 2011)


Mixed-effects inference on classification performance in group studies

K. H. Brodersen, J. R. Chumbley, C. Mathys, J. Daunizeau, C. S. Ong, J. M. Buhmann, K. E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2011)


Free-Energy Minimization and the Mismatch Negativity: Simulations based on Generalised Filtering

F. Lieder, J. Daunizeau, M. Garrido, K. E. Stephan, K. J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2011)


Inferring the individual nature of Bayesian learning under multiple forms of uncertainty

C. Mathys, J. Daunizeau, K. H. Brodersen, S. Iglesias, K. J. Friston, K. E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2011)


Coupled neural fields

J. Daunizeau, D. Pinotsis, K. E. Stephan, K. J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2010)


Stochastic nonlinear DCM for fMRI: neural noise and network dynamics

J. Daunizeau, S. Kiebel, L. Lemieux, K. J. Friston, K. E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2010)


A Bayesian foundation for reinforcement learning

C. Mathys, J. Daunizeau, K. J. Friston, K. E. Stephan

Proc. of the Hum. Brain Mapp. (OHBM 2010)


Bayesian comparison of local electrovascular coupling models using simultaneous EEG-fMRI

M. J. Rosa, J. Kilner, N. J. Trujillo-Barreto, J. Daunizeau, F. Blankenburg, O. Josephs, W. Penny

Proc. of the Hum. Brain Mapp. (OHBM 2010)


Stochastic Dynamic Causal Modelling

J. Daunizeau, S. Kiebel, K. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2009)


Bayesian model selection for group studies

K. E. Stephan, W. D. Penny, J. Daunizeau, R. J. Moran, K. J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2009)


A generic framework for fMRI-constrained MEG source reconstruction

G. Flandin, R. Henson, J. Daunizeau, K.J. Friston, J. Mattout

Proc. of the Hum. Brain Mapp. (OHBM 2009)


Observing the Observer: a nested Bayesian approach to studies of learning and decision making

J. Daunizeau, K. E. Stephan, H. Den Ouden, M. Pessiglione, K. J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2008)


Dynamic causal modelling of distributed electromagnetic responses

J. Daunizeau, S. Kiebel, K. J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2008)


Observing the Observer

J. Daunizeau, K. E. Stephan, H. Den Ouden, M. Pessiglione, K. J. Friston

Cosyne08 – 2008

 

Crossmodal conditionning to dynamic auditory-visual contingencies

H. Den Ouden, J. Daunizeau, Q. Huys, K. J. Friston, K. E. Stephan

Cosyne08- 2008


Variational Bayesian deterministic annealing approach for nonlinear stochastic dynamic systems

J. Daunizeau, K. J. Friston, S. Kiebel

Nonlinear Dynamical Analysis – 2007


A mesostate-space model for EEG and MEG

J. Daunizeau, K. J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2007)


Ensemble density causal models (eDCM) as opposed to neural mass models (mDCM)

A. Marreiros, J. Daunizeau, L.M. Harrison, S.J. Kiebel, K.J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2007)


Nonlinear dynamical causal models for fMRI

K. E. Stephan, L.M. Harrison, J. Daunizeau, H. Den Ouden, K.J. Friston

Proc. of the Hum. Brain Mapp. (OHBM 2007)


Crossmodal conditioning to dynamic auditory-visual contingencies

H. Den Ouden, J. Daunizeau, K. J. Friston, J. Roiser, K. E. Stefan

Proc. of the Hum. Brain Mapp. (OHBM 2007)


MEG source localization of single trial versus average data : an evaluation using realistic simulations

C. Grova, J. M. Lina, J. Daunizeau, A. S. Dubarry, J. Gotman & P. Jolicoeur

Proc. of the Hum. Brain Mapp. (OHBM 2007)


Variational Bayesian treatment of event-related joint EEG/fMRI datasets

J. Daunizeau, S. Jbabdi, C. Grova, J. Mattout, G. Marrelec, J.M. Lina, H. Benali

Proc. of the Hum. Brain Mapp. (OHBM 2006)


An MEG/EEG analysis toolbox for BrainVISA

A. Barbot, K. N'Diaye, S. Baillet , J. Daunizeau, A. Bellio, J. Mattout, M. Pélégrini-Issac, Y. Cointepas, D. Rivière, A. Ducorps & D. Schwartz

Proc. of the Hum. Brain Mapp. (OHBM 2006)


Bayesian spatio-temporal modeling for structured noise removal in fMRI

V. Perlbarg, J. Daunizeau, P. Bellec, H. Benali

Proc. of the Hum. Brain Mapp. (OHBM 2006)


Assessing the relevance of fMRI-based prior in the EEG inverse problem: a Bayesian model comparison approach

J. Daunizeau, C. Grova, J. Mattout, G. Marrelec, D. Clonda, B. Goulard, J. M. Lina & H. Benali

Proc. of the Hum. Brain Mapp. (OHBM 2005)


Evaluation of EEG source localization methods using realistic simulations of interictal spikes

C. Grova, J. Daunizeau, J. M. Lina, C. G. Benar, H. Benali & J. Gotman

Proceedings of the 11th International Conference on Proc. of the Hum. Brain Mapp. (OHBM 2005)


Assessing the concordance between EEG source localization and simultaneous EEG/fMRI studies

C. Grova, J. Daunizeau, A. Bagshaw, E. Kobayashi, J. M. Lina, F. Dubeau & J. Gotman

Am. Epilepsy Soc. Am. Clin. Neurophysiol. Soc. Joint Ann. Meeting (2005), Epilepsia 46 Suppl. 8: 316 (Abst. 3.117)


Data-driven cortex parceling: a regularization tool for the EEG/MEG inverse problem

J. Daunizeau, J. Mattout, B. Goulard, J. M. Lina & H. Benali

Int. Symposium on Biomed. Imag. (ISBI 2004), 1343-1346


EEG/MEG data-driven cortex parcelling

J. Daunizeau, J. Mattout, B. Goulard, J. M. Lina & H. Benali

Proc. of the Hum. Brain Mapp. (OHBM 2004)


Better conditioning the MEG/EEG inverse methods: the multivariate source prelocalization approach

J. Mattout, J. Daunizeau, H. Benali & L. Garnero

Int. Symposium on Biomed. Imag. (ISBI 2004), 1361-1364


Localization estimation algorithm (LEA): a supervised prior-based approach for solving the EEG/MEG inverse problem

J. Mattout, M. Pélégrini-Issac, A. Bellio, J. Daunizeau, L. Garnero & H. benali

Inf. Process. In Med. Imag. (IPMI 2003), C.J. Taylor; J.A. Noble, eds., 2003 536-547, Springer-Verlag, Berlin