21 papers · ranked by Valyu relevance
Micha Heilbron, Floris P. de Lange, Xue-Xin Wei
Theories of predictive processing propose that sensory systems constantly predict incoming signals, based on spatial and temporal context. However, evidence for prediction in sensory cortex largely comes from artificial experiments using simple, highly predictable stimuli, that arguably encourage prediction. Here, we…
Wieger H. Scheurer, Micha Heilbron
Prediction is foundational to theories of perceptual processing and learning, in both neuroscience and AI. However, it remains unclear whether prediction occurs routinely during naturalistic perception, and at what level of abstraction the brain predicts. Here, we address both questions by analysing 7T fMRI recordings…
En Xu, Yilin Bi, Hongwei Hu, Xin Chen + 4 more
a Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China b CompleX Lab, University of Electronic Science and Technology of China, Chengdu, 611731, China c Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, 518055, China d School of Computer…
Kesem Abramov, Barry Biton, Geut Galai, Rami Puzis + 1 more
Ecological communities are complex and exhibit considerable spatial variability, presenting challenges in accurately understanding these systems. A primary obstacle in ecological research is the existence of ‘missing links’ between species: inevitable unobserved interactions that limit our comprehension of ecological…
Nada El Mahmoudi, Francesca Lanzarini, Farzad Ziaie Nezhad, Deepak Surendran + 1 more
Title: Summary How spatial organization emerges through experience in freely moving primates remains incompletely understood. We addressed this question in two common marmosets foraging in a semi-naturalistic depletion-based environment with a fixed spatial layout. With experience, animals increasingly directed choices…
Jiancang Zhuang, Didier Sornette
Earthquakes resist deterministic prediction, yet their occurrence is not fully random. This paper develops a unified information-theoretic framework to quantify predictability. By reviewing Shannon entropy and the Kullback-Leibler divergence, we formalize predictability as the entropy gap between complete randomness…
Yatao Zhang, Ye Hong, Song Gao, Martin Raubal
Understanding how urban systems and traffic dynamics co-evolve is crucial for advancing sustainable and resilient cities. However, their bidirectional causal relationships remain underexplored due to challenges of simultaneously inferring spatial heterogeneity, temporal variation, and feedback mechanisms. Here we…
Mulah Moriah, Franck Vermet, Pierre Ailliot, Philippe Naveau + 1 more
Spatial heterogeneity in insurance risk modelling is often represented using coarse areal structures, which can obscure fine-scale patterns critical for accurate risk assessment. This study introduces a point-referenced Bayesian framework to model claim occurrence and severity at the policyholder level, avoiding…
A. A. B. D. P. Abewardhana, Rubasin Gamage Niluka Lakmali, Paolo Vincenzo Genovese, Diya Li
Spatial information is of crucial importance to understanding terrorist attacks and for security applications. Conventional risk assessments of terrorism are typically focused on retrospective identification of hotspots and may fail to fully account for complex spatial-temporal patterns. This research proposes an…
George E. Robinson, Graham M. Donovan, Nicolò Pecora
Critical transitions occur when a system undergoes a sudden shift from one state to another. Early warning signals (EWS) are indicators that can be used to potentially anticipate critical transitions in such systems, which may be temporal or spatio-temporal. Temporal systems are those whose state varies over time…
Thomas Schincariol
Understanding how conflict events spread over time and space is crucial for predicting and mitigating future violence. However, progress in this area has been limited by the lack of methods capable of capturing the intricate, dynamic patterns of conflict diffusion. The complex nature of those trends needs flexibility…
Kristen M. Martinet, Brea Dace, Luke J. Harmon, Shaelyn Pearson + 4 more
The outcome of evolution sometimes appears to be predictable, as in the evolution of the same characteristics independently in convergent evolution. Other times, evolution’s path depends on starting conditions or chance events, and some forms evolve just once and never appear again. Is convergence, and by implication…
Authors not listed
Gibbs’ paradox—the apparent discontinuity in mixing entropy for gases of varying similarity and the seeming reversibility of mixing-separation cycles—has resisted fully satisfactory resolution for 150 years. We present a solution based on categorical state theory, which posits that physical con f igurations are…
Zihan Zhu, Xueying Tang, Shuang Zhou
High-dimensional spatially correlated covariates are common in regression models encountered in environmental sciences and other fields. In such models, the regression coefficients often exhibit a sparse structure with spatial dependence. Although standard variable selection approaches can help detect the sparse…
Fangyi Wang, Xinyi Xu, Elizabeth Ghias, Stephen J Mooney + 10 more
Background Neighborhood disinvestment, characterized by built environment disrepair and deterioration, has been linked to health behaviors and outcomes, including cancer survival. However, disinvestment temporal dynamics, including time-lagged exposure estimates among colorectal cancer (CRC) cases, remain…
Authors not listed
Spatially correlated multi-level photoluminescence intermittency (blinking) of single organometal halide perovskite microcrystals have engendered considerable intrigue as it implies extremely long-range (> µm) communication amongst photo-generated charge carriers. While it is essential to consider the involvement of…
Daniyal Rajput, Kim Felmingham, Chin-Hsuan Sophie Lin, Marta I. Garrido
An individual’s adaptation to threatening environments under uncertainty is reflected in stress responses. Predictability (the ability to anticipate events) and controllability (the ability to control outcomes) are central to how one adapts, yet their joint influence on aversive learning remains unclear. Thirty healthy…
Authors not listed
The stability and performance of halide perovskite photovoltaic devices are critically limited by progressive defect generation and associated local non-radiative losses during operation. Self-healing of defects provides a promising pathway to prolong device functionality, yet the underlying microscopic mechanisms…
Authors not listed
Traditional electron-configuration notation (e.g. 1s^2 2s^2 2p^6) compresses multi-electron quantum information into integer occupancies that convey allowed maxima and most-probable arrangements but obscure the underlying probabilistic distribution and the spread of possible measurement outcomes. We present a…
Mingyu Go, Julia Wrobel, Hoseung Song
Ripley's K-function is a widely used spatial summary statistic for assessing clustering in point patterns. However, existing K-based methods can be computationally prohibitive for large-scale data, particularly in high-throughput spatial proteomics, because they rely on spatial information from all points in the image.…
Seth M. Rudman, Joshua J. Faber-Hammond, Ryan E. Sherman, René S. Shahmohamadloo + 4 more
Forecasting how populations adapt to changing environments is a central challenge in evolutionary biology. We tested the predictability of rapid adaptation by tracking both phenotypic and genomic trajectories of evolution in replicate outdoor populations of Drosophila melanogaster and comparing these data to…