Menü

Matteo Toscani

Dr.

Justus-Liebig Universität Gießen FB 06 Psychologie und Sportwissenschaft
Alter Steinbacher Weg 38
35394 Gießen

+49 (0)641 99 26 110 +49 (0)641 99 26 119 107 E-Mail senden Website besuchen

Kurzinfo

Projektrelevante Veröffentlichungen
Gil Rodríguez, R., Bayer, F., Toscani, M., Guarnera, D. Y., Guarnera, G. C., & Gegenfurtner, K. R. (2022). Colour calibration of a head mounted display for colour vision research using virtual reality. SN Computer Science, 3(1), 22. find paper
Gil Rodríguez, R., Hedjar, L., Toscani, M., Guarnera, D., Guarnera, G.C. & Gegenfurtner, K.R. (2024). Color Constancy mechanisms in virtual reality environments. Journal of Vision24, no. 5 (2024): 6-6. find paper
Metzger, A., & Toscani, M. (2022). Unsupervised learning of haptic material properties. eLife, 11, e64876. find paper
Toscani, M., Metzger. A. (2022). A Database of Vibratory Signals from Free Haptic Exploration of Natural Material Textures and Perceptual Judgments (ViPer): Analysis of Spectral Statistics. In: H. Seifi, et al. Haptics: Science, Technology, Applications. EuroHaptics 2022. Lecture Notes in Computer Science, vol 13235. Springer, Cham. find preprint
Ältere projektrelevante Veröffentlichungen
Ennis, R., Toscani , M., & Gegenfurtner , K. R. (2017). Seeing lightness in the dark. Current Biology, 27(12), R586-R588. DOI find paper
Ennis, R., Schiller, F., Toscani, M., & Gegenfurtner, K. R. (2018). Hyperspectral database of fruits and vegetables. JOSA A, 35(4), B256-B266. find paper DOI
Gegenfurtner, K. R., Bloj, M., & Toscani, M. (2015). The many colours of ‘the dress’. Current Biology, 25(13), R543-R544. find paper
Metzger, A., Toscani, M., Akbarinia, A., Valsecchi, M. & Drewing, K. (2021). Deep neural network model of haptic saliency. Scientific Reports, 11(1), 1395. find paper, DATA
Metzger, A., Toscani, M., Valsecchi, M., & Drewing, K. (2018, June). Haptic Saliency Model for Rigid Textured Surfaces. In International Conference on Human Haptic Sensing and Touch Enabled Computer Applications (pp. 389-400). Springer, Cham. find paper DOI
Metzger, A., Toscani, M., Valsecchi, M., & Drewing, K. (2019). Dynamics of exploration in haptic search. In 2019 IEEE World Haptics Conference (WHC) (pp. 277-282). IEEE. find paper
Metzger, A., Toscani, M., Valsecchi, M., & Drewing, K. (2021). Target search and inspection strategies in haptic search. IEEE Transactions on Haptic Perception. find paper
Toscani , M., Gegenfurtner , K. R. & Valsecchi , M., (2017). Foveal to peripheral extrapolation of brightness within objects. Journal of Vision, 17(9), 14-14. find paper DOI
Toscani, M., Gegenfurtner, K. R., & Doerschner, K. (2017). Differences in illumination estimation in# thedress. Journal of Vision, 17(1), 22-22. DOI find paper
Toscani, M., Guarnera, D., Guarnera, C., Hardeberg, J. Y., & Gegenfurtner, K. (2020). Three perceptual dimensions for specular and diffuse reflection. ACM Transactions on Applied Perception (TAP), 17(2), 1-26. find paper
Toscani, M., Mamassian, P., & Valsecchi, M. (2021). Underconfidence in peripheral vision. Journal of Vision, 21(6), 2-2. find paper
Toscani, M., Milojevic, Z., Fleming, R. W., & Gegenfurtner, K. R. (2020). Color consistency in the appearance of bleached fabrics. Journal of Vision, 20(4), 11-11. find paper
Toscani, M., Yücel, E. I., & Doerschner, K. (2019). Gloss and speed judgments yield different fine tuning of saccadic sampling in dynamic scenes. i-Perception<, 10(6), 2041669519889070. find paper
Witzel, C., & Toscani, M. (2020). How to make a# theDress.JOSA A, 37(4), A202-A211. find paper DOI
Projektbeteiligung