Publications

Adams R.A., Perrinet L.U., et Friston K. (2012). Smooth pursuit and visual occlusion: active inference and oculomotor control in schizophrenia. PloS One, 7: e47502.

Cristóbal G., Perrinet L.U., et Keil M.S. (2015). Biologically Inspired Computer Vision: Fundamentals and Applications. Biologically Inspired Computer Vision, 1-10.

Damasse J.-B., Perrinet L.U., Madelain L., et Montagnini A. (2018). Reinforcement effects in anticipatory smooth eye movements. Journal of Vision, 18: 14.

Dupeyroux J., Boutin V., Serres J.R., Perrinet L.U., et Viollet S. (2018). M² APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation. 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4.

Friston K., Adams R.A., Perrinet L., et Breakspear M. (2012). Perceptions as Hypotheses: Saccades as Experiments. Frontiers in Psychology, 3.

Kaplan B.A., Lansner A., Masson G.S., et Perrinet L.U. (2013). Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers in Computational Neuroscience, 7.

Khoei M.A., Masson G.S., et Perrinet L.U. (2013). Motion-based prediction explains the role of tracking in motion extrapolation. Journal of Physiology-Paris, 107: 409-420.

Khoei M.A., Masson G.S., et Perrinet L.U. (2017). The Flash-Lag Effect as a Motion-Based Predictive Shift. PLOS Computational Biology, 13: e1005068.

Kremkow J., Perrinet L.U., Masson G.S., et Aertsen A. (2010). Functional consequences of correlated excitatory and inhibitory conductances in cortical networks. Journal of Computational Neuroscience, 28: 579-594.

Kremkow J., Perrinet L.U., Monier C., Alonso J.-M., Aertsen A., Frégnac Y., et Masson G.S. (2016). Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1. Frontiers in Neural Circuits, 10.

Leon P.S., Vanzetta I., Masson G.S., et Perrinet L.U. (2012). Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology, 107: 3217-3226.

Masson G.S. et Perrinet L.U. (2012). The behavioral receptive field underlying motion integration for primate tracking eye movements. Neuroscience & Biobehavioral Reviews, 36: 1-25.

Montagnini A., Perrinet L.U., et Masson G.S. (2015). Visual Motion Processing and Human Tracking Behavior. Biologically Inspired Computer Vision, 267-294.

Perrinet L.U. (2010). Role of Homeostasis in Learning Sparse Representations. Neural Computation, 22: 1812-1836.

Perrinet L.U., Adams R.A., et Friston K.J. (2014). Active inference, eye movements and oculomotor delays. Biological Cybernetics, 108: 777 - 801.

Perrinet L.U. et Bednar J.A. (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports, 5: 11400.

Perrinet L.U. (2015). Sparse Models for Computer Vision. Biologically Inspired Computer Vision, 319-346.

Perrinet L. et Masson G.S. (2012). Motion-Based Prediction is Sufficient to Solve the Aperture Problem. Neural Computation, 24.

Simoncini C., Perrinet L.U., Montagnini A., Mamassian P., et Masson G.S. (2012). More is not always better: adaptive gain control explains dissociation between perception and action. Nature Neuroscience, 15: 1596-1603.

Taouali W., Benvenuti G., Wallisch P., Chavane F., et Perrinet L.U. (2016). Testing the odds of inherent vs. observed overdispersion in neural spike counts. Journal of Neurophysiology, 115: 434-444.

Vacher J., Meso A.I., Perrinet L.U., et Peyré G. (2018). Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures. Neural Computation, 1-38.

Vacher J., Meso A., Perrinet L., et Peyre G. (2015). Biologically Inspired Dynamic Textures for Probing Motion Perception. Advances in Neural Information Processing Systems, 28: 1918 - 1926.