TY - JOUR
T1 - Visual exploration dynamics are low-dimensional and driven by intrinsic factors
AU - Zangrossi, Andrea
AU - Cona, Giorgia
AU - Celli, Miriam
AU - Zorzi, Marco
AU - Corbetta, Maurizio
N1 - Funding Information:
Ma.Co. was supported by FLAG-ERA JTC 2017 (grant ANR-17-HBPR-0001); MIUR— Departments of Excellence Italian Ministry of Research (MART_ECCELLENZA18_01); Fondazione Cassa di Risparmio di Padova e Rovigo (CARIPARO)—Ricerca Scientifica di Eccellenza 2018—(Grant Agreement number 55403); Ministry of Health Italy Brain connectivity measured with high-density electroencephalography: a novel neurodiagnostic tool for stroke-NEUROCONN (RF-2008 -12366899); Celeghin Foundation Padova (CUP C94I20000420007); H2020 European School of Network Neuroscience-euSNN, H2020-SC5-2019-2, (Grant Agreement number 869505); H2020 Visionary Nature-Based Actions For Heath, Wellbeing & Resilience in Cities (VARCITIES), H2020-SC5-2019-2 (Grant Agreement number 869505); Ministry of Health Italy: Eye-movement dynamics during free viewing as biomarker for assessment of visuospatial functions and for closed-loop rehabilitation in stroke—EYEMOVINSTROKE (RF-2019-12369300). Moreover, Ma.Co. and A.Z. were supported by BIAL Foundation grant (No. 361/18). We are grateful to Luca Semenzato for the technical support on the Tobii T120 eye-tracker. Exemplar images used in Figures and Supplementary Figures were taken from the Places365 dataset28 (http://places2.csail.mit. edu/download.html).
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variables explain 60% of eye movement dynamics of more than a hundred observers looking at hundreds of different natural images. The first component explaining 30% of variability loads on fixation duration, and it does not relate to image saliency or semantics; it approximates a power-law distribution of gaze steps, an intrinsic dynamic measure, and identifies observers with two viewing styles: static and dynamic. Notably, these viewing styles were also identified when observers look at a blank screen. These results support the importance of endogenous processes such as intrinsic dynamics to explain eye movement spatiotemporal properties.
AB - When looking at visual images, the eyes move to the most salient and behaviourally relevant objects. Saliency and semantic information significantly explain where people look. Less is known about the spatiotemporal properties of eye movements (i.e., how people look). We show that three latent variables explain 60% of eye movement dynamics of more than a hundred observers looking at hundreds of different natural images. The first component explaining 30% of variability loads on fixation duration, and it does not relate to image saliency or semantics; it approximates a power-law distribution of gaze steps, an intrinsic dynamic measure, and identifies observers with two viewing styles: static and dynamic. Notably, these viewing styles were also identified when observers look at a blank screen. These results support the importance of endogenous processes such as intrinsic dynamics to explain eye movement spatiotemporal properties.
UR - http://www.scopus.com/inward/record.url?scp=85115386529&partnerID=8YFLogxK
U2 - 10.1038/s42003-021-02608-x
DO - 10.1038/s42003-021-02608-x
M3 - Article
C2 - 34535744
AN - SCOPUS:85115386529
SN - 2399-3642
VL - 4
JO - Communications Biology
JF - Communications Biology
IS - 1
M1 - 1100
ER -