Bayesian Theory

  1. Baker, Chris L, Rebecca Saxe, and Joshua B Tenenbaum. "Action Understanding As Inverse Planning." Cognition 113, no. 3 (2009): doi:10.1016/j.cognition.2009.07.005.
  2. Benitez, Raul, and Zoran Nenadic. "Robust Unsupervised Detection of Action Potentials with Probabilistic Models." IEEE transactions on bio-medical engineering 55, no. 4 (2008): doi:10.1109/TBME.2007.912433.
  3. Besson, Patricia, Jonas Richiardi, Christophe Bourdin, Lionel Bringoux, Daniel R Mestre, and Jean-Louis Vercher. "Bayesian Networks and Information Theory for Audio-Visual Perception Modeling." Biological cybernetics 103, no. 3 (2010): doi:10.1007/s00422-010-0392-8.
  4. Brignell, Christopher J, Ian L Dryden, S Antonio Gattone, Bert Park, Stuart Leask, William J Browne, and Sean Flynn. "Surface Shape Analysis with An Application to Brain Surface Asymmetry in Schizophrenia." Biostatistics (Oxford, England) 11, no. 4 (2010): doi:10.1093/biostatistics/kxq016.
  5. Clemens, Ivar A H, Maaike De Vrijer, Luc P J Selen, Jan A M Van Gisbergen, and W Pieter Medendorp. "Multisensory Processing in Spatial Orientation: An Inverse Probabilistic Approach." The Journal of neuroscience : the official journal of the Society for Neuroscience 31, no. 14 (2011): doi:10.1523/JNEUROSCI.6472-10.2011.
  6. Busemeyer, Jerome R, Emmanuel M Pothos, Riccardo Franco, and Jennifer S Trueblood. "A Quantum Theoretical Explanation for Probability Judgment Errors." Psychological review 118, no. 2 (2011): doi:10.1037/a0022542.
  7. Dayan, Peter, and Nathaniel D Daw. "Decision Theory, Reinforcement Learning, and the Brain." Cognitive, affective & behavioral neuroscience 8, no. 4 (2008): doi:10.3758/CABN.8.4.429.
  8. Eckstein, Miguel P, Matthew F Peterson, Binh T Pham, and Jason A Droll. "Statistical Decision Theory to Relate Neurons to Behavior in the Study of Covert Visual Attention." Vision research 49, no. 10 (2009): doi:10.1016/j.visres.2008.12.008.
  9. Fetsch, Christopher R, Amanda H Turner, Gregory C DeAngelis, and Dora E Angelaki. "Dynamic Reweighting of Visual and Vestibular Cues During Self-Motion Perception." The Journal of neuroscience : the official journal of the Society for Neuroscience 29, no. 49 (2009): doi:10.1523/JNEUROSCI.2574-09.2009.
  10. Friman, Ola, Gunnar Farnebäck, and Carl-Fredrik Westin. "A Bayesian Approach for Stochastic White Matter Tractography." IEEE transactions on medical imaging 25, no. 8 (2006): 965-78.
  11. Friston, Karl. "The Free-Energy Principle: A Rough Guide to the Brain?" Trends in cognitive sciences 13, no. 7 (2009): doi:10.1016/j.tics.2009.04.005.
  12. Goodman, Noah D, Tomer D Ullman, and Joshua B Tenenbaum. "Learning a Theory of Causality." Psychological review 118, no. 1 (2011): doi:10.1037/a0021336.
  13. Grossberg, Stephen. "Towards a Unified Theory of Neocortex: Laminar Cortical Circuits for Vision and Cognition." Progress in brain research 165 (2007): doi:10.1016/S0079-6123(06)65006-1.
  14. Kitazawa, Shigeru. "[Temporal Order Judgment in the Brain]." Brain and nerve = Shinkei kenkyū no shinpo 60, no. 3 (2008): 263-72.
  15. Kornak, John, Karl Young, Norbert Schuff, Antao Du, Andrew A Maudsley, and Michael W Weiner. "K-Bayes Reconstruction for Perfusion MRI. I: Concepts and Application." Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology 23, no. 3 (2010): doi:10.1007/s10278-009-9183-y.
  16. Körding, Konrad. "Decision Theory: What "Should" the Nervous System Do?" Science (New York, N.Y.) 318, no. 5850 (2007): doi:10.1126/science.1142998.
  17. Körding, Konrad P, and Daniel M Wolpert. "Bayesian Decision Theory in Sensorimotor Control." Trends in cognitive sciences 10, no. 7 (2006): doi:10.1016/j.tics.2006.05.003.
  18. Lau, Hakwan C. "A Higher Order Bayesian Decision Theory of Consciousness." Progress in brain research 168 (2008): doi:10.1016/S0079-6123(07)68004-2.
  19. Laurens, Jean, Bernhard J M Hess, and Dominik Straumann. "Geometrical Considerations on Canal-Otolith Interactions During OVAR and Bayesian Modelling." Progress in brain research 171 (2008): doi:10.1016/S0079-6123(08)00641-9.
  20. Ma, Wei Ji, and Alexandre Pouget. "Linking Neurons to Behavior in Multisensory Perception: A Computational Review." Brain research 1242 (2008): doi:10.1016/j.brainres.2008.04.082.
  21. MacNeilage, Paul R, Narayan Ganesan, and Dora E Angelaki. "Computational Approaches to Spatial Orientation: From Transfer Functions to Dynamic Bayesian Inference." Journal of neurophysiology 100, no. 6 (2008): doi:10.1152/jn.90677.2008.
  22. Tenenbaum, Joshua B, Thomas L Griffiths, and Charles Kemp. "Theory-Based Bayesian Models of Inductive Learning and Reasoning." Trends in cognitive sciences 10, no. 7 (2006): doi:10.1016/j.tics.2006.05.009.
  23. Thompson-Schill, Sharon L, and Matthew M Botvinick. "Resolving Conflict: A Response to Martin and Cheng (2006)." Psychonomic bulletin & review 13, no. 3 (2006): 402-8; discussion 409-11.
  24. De Vrijer, M, W P Medendorp, and J A M Van Gisbergen. "Accuracy-Precision Trade-Off in Visual Orientation Constancy." Journal of vision 9, no. 2 (2009): doi:10.1167/9.2.9.
  25. Whiteley, Louise, and Maneesh Sahani. "Implicit Knowledge of Visual Uncertainty Guides Decisions with Asymmetric Outcomes." Journal of vision 8, no. 3 (2008): doi:10.1167/8.3.2.
  26. Yu, Angela J, Peter Dayan, and Jonathan D Cohen. "Dynamics of Attentional Selection Under Conflict: Toward a Rational Bayesian Account." Journal of experimental psychology. Human perception and performance 35, no. 3 (2009): doi:10.1037/a0013553.
  27. Yuille, Alan, and Daniel Kersten. "Vision As Bayesian Inference: Analysis by Synthesis?" Trends in cognitive sciences 10, no. 7 (2006): doi:10.1016/j.tics.2006.05.002.
  28. Zhang, Jun. "Adaptive Learning Via Selectionism and Bayesianism, Part I: Connection Between the Two." Neural networks : the official journal of the International Neural Network Society 22, no. 3 (2009): doi:10.1016/j.neunet.2009.03.018.
  29. Zhang, Sheng, and Miguel P Eckstein. "Evolution and Optimality of Similar Neural Mechanisms for Perception and Action During Search." PLoS computational biology 6, no. 9 (2010)doi:10.1371/journal.pcbi.1000930.