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Responsivity research: Informing psychological services for justice systems that work.
Psychol Serv
February 2025
ICF.
Public service psychologists engage their research competencies to explore the psychological health needs of underserved populations and the justice systems that deliver them psychological services. In late June 2023. the Criminal Justice Section of Division 18 of the American Psychological Association cosponsored the Fifth North American Correctional and Criminal Justice Psychology Conference: Towards a Justice System That Works, Toronto, Canada.
View Article and Find Full Text PDFReadiness for Perception and Action: Towards a More Mechanistic Understanding of Phasic Alertness.
J Cogn
January 2025
Neuro-Cognitive Psychology, Department of Psychology, Bielefeld University, Bielefeld, Germany.
Human survival requires prompt perception and action to address relevant events in the environment. For this, the brain has evolved a system that uses warning stimuli to elicit phasic alertness, a state readying the brain for upcoming perception and action. Although a wealth of empirical evidence revealed how phasic alertness improves a wide range of perceptual and cognitive processing, it is still unclear by what cognitive mechanisms this is achieved.
View Article and Find Full Text PDFModelling sensory attenuation as Bayesian causal inference across two datasets.
PLoS One
January 2025
Department of Psychology, Theoretical Cognitive Science Group, Philipps-Universität Marburg, Marburg, Germany.
Introduction: To interact with the environment, it is crucial to distinguish between sensory information that is externally generated and inputs that are self-generated. The sensory consequences of one's own movements tend to induce attenuated behavioral- and neural responses compared to externally generated inputs. We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for sensory information is inferred.
View Article and Find Full Text PDFThe architecture of theory and data in microbiome design: towards an S-matrix for microbiomes.
Curr Opin Microbiol
January 2025
Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Electronic address:
Designing microbiomes for applications in health, bioengineering, and sustainability is intrinsically linked to a fundamental theoretical understanding of the rules governing microbial community assembly. Microbial ecologists have used a range of mathematical models to understand, predict, and control microbiomes, ranging from mechanistic models, putting microbial populations and their interactions as the focus, to purely statistical approaches, searching for patterns in empirical and experimental data. We review the success and limitations of these modeling approaches when designing novel microbiomes, especially when guided by (inevitably) incomplete experimental data.
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