Publications

PREPRINTS (unpublished only)

(2022) M.A. Frechou, S.S. Martin, C.D McDermott, S. Gokhan, W. Tome, R. Coen-Cagli, T.J. Goncalves, Adult Neurogenesis improves spatial information encoding in the mouse hippocampus. bioRxiv

(2019) J. Vacher, P. Mamassian, R. Coen-Cagli. Probabilistic model of visual segmentation. arxiv:1806.00111.

REFEREED JOURNAL/CONFERENCE PAPERS (*=co-first, **=co-senior)

(2024) R. Goris, R. Coen-Cagli, K.D. Miller, N.J. Priebe, M. Lengyel, Response sub-additivity and variability quenching in visual cortex. Nature Reviews Neuroscience 25:237–252

(2024) X. Pan, R. Coen-Cagli, O. Schwartz, Probing the Structure and Functional Properties of the Dropout-induced Correlated Variability in Convolutional Neural Networks. Neural Computation 36 (4): 621–644)

(2023) O. Weiss, H.A. Bounds, H. Adesnik, R. Coen-Cagli, Modeling the diverse effects of divisive normalization on noise correlations. PLoS Computational Biology 19(11):e1011667

(2023) J. Vacher, C. Launay, P. Mamassian**, R. Coen-Cagli**. Measuring uncertainty in human visual segmentation. PLoS Computational Biology 19(9): e1011483  

(2022) J. Bosten, R. Coen-Cagli, A. Franklin, S. Solomon, M. Webster. Calibrating the visual system. Vision Research 201:108-132

(2022) C. Launay, J. Vacher, R. Coen-Cagli. Unsupervised video segmentation algorithms based on flexibly regularized mixture models. 2022 IEEE ICIP 4073-4077.

(2022) J. Vacher, C. Launay, R. Coen-Cagli. Flexibly regularized mixture models and application to image segmentation. Neural Networks 149:107-123 (preprint on arxiv:1905.10629)

(2021) S. Sokoloski, A. Aschner, R. Coen-Cagli. Modeling the neural code in large populations of correlated neurons. eLife 10:e64615 

(2021) D. Herrera, L. Gomez-Sena, R. Coen-Cagli. Redundancy between spectral and higher-order statistics for natural image segmentation. Vision Research 187:55-65 (preprint bioRxiv)
(2021) D. Festa, A. Aschner, A. Davila, A. Kohn, R. Coen-Cagli. Neuronal variability reflects probabilistic inference tuned to natural image statistics. Nature Communications 12:3635 (preprint bioRxiv)
(2021) D. Herrera, R. Coen-Cagli**, L. Gomez-Sena**. Flexible contextual modulation of naturalistic texture perception in peripheral vision. Journal of Vision 21(1):1
(2021) G. Dehaene, R. Coen-Cagli, A. Pouget. Investigating the representation of uncertainty in neuronal circuits. PLoS Computational Biology 17(1):e1008138.
(2020) J. Vacher, A. Davila, A. Kohn, R. Coen-Cagli. Texture interpolation for probing visual perception. NeurIPS 2020 spotlight (paper here).
(2019) R. Coen-Cagli, S. S. Solomon. Relating divisive normalization to neuronal response variability. Journal of Neuroscience 39(37):7344 (preprint on biorxiv).
(2017) R. Coen-Cagli, I. Kanitscheider, A. Pouget. A method to estimate the number of neurons supporting visual orientation discrimination in primates. F1000Research, 6:1752.
(2017) M. Snow, R. Coen-Cagli, O. Schwartz, Adaptation in visual cortex: a case for probing neural populations with natural stimuli. F1000Research, 6:1246.
(2016) A. Kohn, R. Coen-Cagli, I. Kanitscheider, A. Pouget, Correlations and neuronal population information. Annual Reviews of Neuroscience. 39:237-256.
(2016) M. Snow, R. Coen-Cagli, O. Schwartz, Specificity and timescales of cortical adaptation as inferences about natural movie statistics. Journal of Vision 16(13):1.
(2015) I. Kanitscheider*, R. Coen-Cagli*, A. Pouget, The origin of information-limiting noise correlations. PNAS, 112(50): E6973-E6982
(2015) R. Coen-Cagli, A. Kohn**, O. Schwartz**, Flexible Gating of Contextual Modulation During Natural Vision. Nature Neuroscience, 18: 1648–1655
(2015) I. Kanitscheider*, R. Coen-Cagli*, A. Kohn, A. Pouget, Measuring Fisher Information Accurately in Correlated Neural Populations. PLoS Computational Biology, 11(6): e1004218
(2013) R. Coen-Cagli, O. Schwartz, The Impact on Mid-Level Vision of Statistically Optimal Divisive Normalization in V1. Journal of Vision, 13(8):13
(2013) O. Schwartz, R. Coen-Cagli, Visual Attention and Flexible Normalization Pools. Journal of Vision, 13(1):25
(2012) R. Coen-Cagli, P. Dayan, O. Schwartz, Cortical Surround Interactions and Perceptual Salience Via Natural Scene Statistics. PLoS Computational Biology, 8(3): e1002405.
(2009) R. Coen-Cagli, P. Coraggio, P. Napoletano, O. Schwartz, M. Ferraro, G. Boccignone, Visuomotor Characterization of Eye Movements in a Drawing Task. Vision Research 49, 810-818
(2009) R. Coen-Cagli, P. Dayan, O. Schwartz, Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing. Advances in Neural Information Processing Systems, NIPS 22. (.pdf)
(2008) R. Coen-Cagli, P. Coraggio, P. Napoletano, G. Boccignone, A.De Santis. Sensorimotor coupling via Dynamic Bayesian Networks. Proceedings of the IEEE International Conference on Robotics and Automation 2008, ICRA. (.pdf)
(2008) R. Coen-Cagli, P. Napoletano, P. Coraggio, G. Boccignone, What the Draughtsman's Hand Tells the Draughtsman's Eye: A Sensorimotor Account of Drawing. International Journal of Pattern Recognition and Artificial Intelligence, IJPRAI 22(5): 1015-1029
(2007) R. Coen-Cagli, P. Coraggio, P. Napoletano, DrawBot | A Bio-Inspired Robotic Portraitist. Digital Creativity Journal. Routledge. 18, 1.
(2007) R. Coen-Cagli, P. Coraggio, G. Boccignone, P. Napoletano, The Bayesian Draughtsman: A Model For Visuomotor Coordination In Drawing. Advances in Brain Vision and Artificial Intelligence, Proceedings of BVAI 2007. LNCS 4729. (.pdf)

CONFERENCE POSTERS AND ABSTRACTS

(2023) A. Farzmahdi, A, Kohn, R. Coen-Cagli, Relating natural image statistics to patterns of response covariability in primary visual cortex. SFN.

(2023) O. Weiss, H. Bounds, H. Adesnik, R. Coen-Cagli, Relating Divisive Normalization to Modulation of Correlated Variability in Primary Visual Cortex. BRAIN PI meeting

(2022) C. Launay, J. Vacher, R. Coen-Cagli, Unsupervised spatio-temporal integration captures perceptual grouping stability and uncertainty. CRCNS PI meeting.

(2022) J. Vacher, C. Launay, P. Mamassian, R. Coen-Cagli, Measuring uncertainty in human visual segmentation. CRCNS PI meeting.

(2022) M.A. Frechou, S. Martin, K. McDermott, S. Gokhan, W.A. Tome', R. Coen-Cagli, J.T. Goncalves, Adult neurogenesis improves spatial information encoding in the hippocampus. SFN. 

(2022) C. Launay, J. Vacher, R. Coen-Cagli, Unsupervised video segmentation algorithms based on flexibly regularized mixture models. IEEE ICIP.

(2022) A. Farzmahdi, R. Coen-Cagli, Relating covariability in visual cortex to natural image statistics. CCN.

(2022) J. Vacher, R. Coen-Cagli, P. Mamassian, Unifying different psychometric methods: theory and experiment. VSS.

(2022) O. Weiss, H. Bounds, H. Adesnik, R. Coen-Cagli, Relating Divisive Normalization to Modulation of Correlated Variability in Primary Visual Cortex. COSYNE.

(2022) D. Herrera-Esposito, R. Coen-Cagli, Task-dependent contribution of higher-order statistics to natural texture processing. COSYNE, VSS.

(2022) S. Sokoloski, R. Coen-Cagli, Disentangling neural dynamics with fluctuating hidden Markov models. COSYNE.

(2021) R. Coen-Cagli, S. Sokoloski, A. Kohn, Neural sampling from bimodal distributions in primary visual cortex. COSYNE.

(2021) D. Herrera-Esposito, L. Gomez-Sena, R. Coen-Cagli, Sensitivity to higher-order texture statistics in segmentation reflects redundancy in natural images. COSYNE.

(2021) S. Sokoloski, R. Coen-Cagli, Information-limiting correlations linearize the neural code. COSYNE.

(2021) X. Pan, R. Coen-Cagli, O. Schwartz, Modeling neural variability in deep networks with dropout. COSYNE.

(2021) M.A. Frechou, S. Martin, R. Coen-Cagli, J.T. Goncalves, Adult neurogenesis improves spatial information encoding in the hippocampus. COSYNE.

(2020 spotlight) J. Vacher, A. Davila, A. Kohn, R. Coen-Cagli. Texture interpolation for probing visual perception. NeurIPS 33.

(2020) S. Tikir, D. Festa, M.J. Crosse, J. Bates, R.Coen-Cagli, S. Molholm, Flexibility and predictions in autism: Findings from EEG, behavior, and machine learning classification. Neuromatch 3.0

(2020) J. Vacher, P. Mamassian, R. Coen-Cagli, Measuring and Modeling Human Probabilistic Segmentation Maps. VSS.

(2020) J. Vacher, P. Mamassian, R. Coen-Cagli, Measuring Human Probabilistic Segmentation Maps. COSYNE.

(2020) S. Sokoloski, R. Coen-Cagli, Mixture of Poisson Models for Neural Correlations and Coding. COSYNE.

(2020) D. Festa, O. Weiss, A. Aschner, A. Kohn, R. Coen-Cagli, Quantifying the role of divisive normalization in contextual modulation of neuronal variability. COSYNE.

(2020) S. Tikir, D. Festa, M.J. Crosse, J. Bates, R.Coen-Cagli, S. Molholm, Flexibility and Predictions in Autism: Findings from EEG, pupillometry, behavior, and computational modeling. CNS.

(2019) D. Festa, A. Aschner, A. Kohn, R. Coen-Cagli, A Functional Model of Neuronal Response Variability in Primary Visual Cortex. CCN and Bernstein.

(2019) J. Vacher, P. Mamassian, R. Coen-Cagli, An Ideal Observer Model for Grouping and Contour Integration in Natural Images. ECVP.

(2019) R. Coen-Cagli, S.S. Solomon, Neuronal Response Variability and Divisive Normalization. SAND9.

(2018) R. Coen-Cagli, Neural Response Variability and Divisive Normalization. SFN.

(2018) D. Festa, S.S. Solomon, A. Aschner, A. Kohn, R. Coen-Cagli, Contextual Modulation of Response Variability in Primary Visual Cortex. COSYNE.

(2017) D. Festa, R. Coen-Cagli, A Flexible Model of Uncertainty in Natural Images and V1 Response Variability. CCN.

(2017) R. Coen-Cagli, A. Kohn, Variability of V1 population responses to natural images reflects probabilistic inference. COSYNE, CCN.

(2016) R. Coen-Cagli, G. Dehaene, A. Pouget, Uncertainty coding in a model of auditory localization. COSYNE, BCCN Berlin.

(2015) R. Coen-Cagli, I. Kanitscheider, A. Kohn, A. Pouget, Peripheral versus internal factors to cortical variability and information. COSYNE.

(2015) I. Kanitscheider, R. Coen-Cagli, R. Moreno-Bote, Balanced spiking networks preserve and transform input information. COSYNE.

(2014) I. Kanitscheider, R. Coen-Cagli, A. Pouget, Noise correlations induced by computation. COSYNE.

(2014) M. Snow, R. Coen-Cagli, O. Schwartz, Adaptation in V1 populations reflects optimal inference of natural movie statistics. COSYNE.

(2013) I. Kanitscheider, R. Coen-Cagli, A. Pouget, Noise correlations induced by computation. SFN, Ascona Circuits Meeting.

(2012) R. Coen-Cagli, A. Kohn, O. Schwartz, Understanding V1 Surround Modulation with Natural Stimuli Using a Principled Statistical Model. COSYNE.

(2012) M. Snow, R. Coen-Cagli, O. Schwartz, A Generative Model for Adaptation in Primary Visual Cortex Neurons Derived from Movie Statistics. COSYNE.

(2011) R. Coen-Cagli, A. Kohn, O. Schwartz, Testing a Principled Statistical Models of Spatial Contextual Interactions in V1. SFN, COSYNE.

(2011) F. Roehrbein, R. Coen-Cagli, O. Schwartz, Dynamic scenes vs. static images: Differences in basic gazing behaviors for natural stimulus sets. VSS.

(2010) R. Coen-Cagli, P. Dayan, O. Schwartz, Salience and Surround Interactions Via Natural Scene Statistics: A Unifying Model. COSYNE.

(2010) S. Wissig, R. Coen-Cagli, O. Schwartz, A. Kohn, The influence of surround suppression on adaptation in primary visual cortex: implications for adaptation to natural scenes. Gordon Research Conference.

(2009) R. Coen-Cagli, S. Wissig, A. Kohn, O. Schwartz, Probing the early visual system with naturalistic, synthetic images. COSYNE.

(2009 Spotlight) R. Coen-Cagli, P. Dayan, O. Schwartz, Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing. NIPS.

(2009) F. Roehrbein, R. Coen-Cagli, O. Schwartz, Analysis of Human Gaze-Selected Patches from Natural Image Sequences. Computational Cognitive Neuroscience Conference CCNC, Boston.

PHD THESIS (2007)

Sensorimotor Coupling: Eye Tracking and Computational Modeling in a Drawing Task. Universita' di Napoli Federico II. Italia. (.pdf)

OLD PAPERS ON QUANTUM COMPUTING

(2005) R. Coen-Cagli, P. Aniello, N. Cesario, F. Foncellino, Exploring a New Post-Selection Condition for Efficient Linear Optics Quantum Computation. International Journal of Quantum Information, 3 4 611-621.
(2005) P. Aniello, R. Coen-Cagli, An Algebraic Approach to Linear-Optical Schemes for Deterministic Quantum Computing. J. Opt B: Quantum and Semiclass. Opt. 7 S711-S720.
(2004) B.Sc. Thesis. Quantum Computing: Linear Optical Implementation. Universita' di Napoli Federico II. Italia.