16 papers · ranked by Valyu relevance
Adele Diederich
Dual process theories have become increasingly popular in psychology, behavioral economics, and neuroscience, assuming that two processes, here generically labeled as System 1 and System 2, have antagonistic characteristics such as automatic versus deliberate, impulsive versus rational, fast versus slow, and more. In…
Simone Tonini, Francesca Chiaromonte, Alessandro Giovannelli
This paper characterizes the impact of covariate serial dependence on the nonasymptotic estimation error bound of penalized regressions (PRs). Focusing on the direct relationship between the degree of cross-correlation between covariates and the estimation error bound of PRs, we show that orthogonal or weakly…
Erik Skau, Andrew Hollis, Stephan Eidenbenz, Kim J.R. Rasmussen + 1 more
'Boian S. Alexandrov'] Monitoring of industrial processes is a critical capability in industry and in government to ensure reliability of production cycles, quick emergency response, and national security. Process monitoring allows users to gauge the progress of an organization in an industrial process or predict the…
Cora Fischer, Jochen Kaiser, Christoph Bledowski
Serial dependence describes the phenomenon that current object representations are attracted to previously encoded and reported representations. While attractive biases have been observed reliably in behavior, a direct neural correlate has not been established. Previous studies have either shown a reactivation of past…
Arash Khojaste, Geoffrey Pritchard, Golbon Zakeri
We consider Markov decision processes arising from a Markov model of an underlying natural phenomenon. Such phenomena are usually periodic (e.g. annual) in time, and so the Markov processes modelling them must be time-inhomogeneous, with cyclostationary rather than stationary behaviour. We describe a technique for…
Miranda Johnson, John Palmer, Cathleen M. Moore, Geoffrey M. Boynton
There has been a longstanding debate about whether lexical and semantic processing of words is serial or parallel. We addressed this debate using partially valid cueing, where one of two words is cued. The cue was valid on 80% and invalid on the other 20% of the trials. The task was semantic categorization, and…
Chunyu Qu, Zhuanghua Shi
Serial dependence is influenced by sensory uncertainty and contextual continuity, but it remains controversial whether these influences reflect separate mechanisms or different expressions of a shared updating process. Across two time reproduction experiments (N = 44), we examined how motion coherence and coherence…
Jun-Ming Yu, Haojiang Ying
The visual system can be viewed and studied as an information processing system. If so, then the visual system should follow specific fundamental properties: either a memory or a memoryless system. Previous studies in serial dependence in vision found that the perception of the current stimulus is positively determined…
Tianhe Wang, Yingrui Luo, Richard B. Ivry, Jonathan S. Tsay + 3 more
'Ernst Pöppel' 'Yan Bao' 'Roland W. Fleming'] Our duration estimation flexibly adapts to the statistical properties of the temporal context. Humans and non-human species exhibit a perceptual bias towards the mean of durations previously observed as well as serial dependence, a perceptual bias towards the duration of…
Tianhe Wang, Yingrui Luo, Richard B. Ivry, Jonathan S. Tsay + 2 more
Our sense of the passage of time flexibly adapts to the statistical properties of the temporal context. Humans and non-human species exhibit a perceptual bias towards the mean of durations previously observed as well as serial dependence, a perceptual bias towards the duration of recently processed events. Here we…
Drew E. Winters
Studying flexible, adaptive transitions between cognitive tasks and serial-parallel processing under changing task demands has been a central focus for understanding human cognition. Advances in neuroimaging analysis have improved the ability to link cognition with brain function, providing a foundation for developing…
Peter Sagmeister, Lukas Melnizky, Jason Williams, C. Oliver Kappe
In modern pharmaceutical research, the demand for expeditious development of synthetic routes to active pharmaceutical ingredients (APIs) has led to a paradigm shift towards data-rich process development. Conventional methodologies en-compass prolonged timelines for reaction and analytical model developments. Both…
Isuru Panduka Ratnayake, V. A. Samaranayake, Cathy W. S. Chen
A serially dependent Poisson process with time-varying zero-inflation is proposed. Such formulations have the potential to model count data time series arising from phenomena such as infectious diseases that ebb and flow over time. The model assumes that the intensity of the Poisson process evolves according to a…
Linjing Jiang, Jennifer Tepan, Anastasiia Khibovska, Hoi-Chung Leung
The accurate processing of incoming visual information in serial order is fundamental to visual cognition. Prior studies have demonstrated primacy and recency effects in tasks requiring the serial recall of visual stimuli such as letters, digits, words, or locations. However, there is still ongoing debate about whether…
Prince P. Osei, Philip T. Reiss
In many psychological studies, in particular those conducted by experience sampling, mental states are measured repeatedly for each participant. Such a design allows for regression models that separate between- from within-person, or trait-like from state-like, components of association between two variables. But these…
Authors not listed
Microalgae-based tertiary wastewater treatment has the potential to meet stringent effluent phosphorus limits, with the added benefit of producing a marketable feedstock. However, the lack of validated mechanistic models and their implementation in process simulators have limited the adoption of this technology. In…