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Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks

Author(s): Abicumaran Uthamacumaran

Pediatric glioblastoma is a complex dynamical disease that is difficult to treat due to its multiple adaptive behaviors driven largely by phenotypic plasticity. Integrated data science and network theory pipelines offer novel approaches to studying glioblastoma cell fate dynamics, particularly phenotypic transitions over time. Here we used various single- ...

Article GUID: 39420135


Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game

Author(s): Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M;

Background: Major bile duct injuries during laparoscopic cholecystectomy (LC), often stemming from errors in surgical judgment and visual misperception of critical anatomy, significantly impact morbidity, mortality, disability, and health care costs. Objective: To enhance safe LC learning, we de ...

Article GUID: 39052314


Computational neuroscience across the lifespan: Promises and pitfalls

Author(s): van den Bos W; Bruckner R; Nassar MR; Mata R; Eppinger B;

In recent years, the application of computational modeling in studies on age-related changes in decision making and learning has gained in popularity. One advantage of computational models is that they provide access to latent variables that cannot be directly observed from behavior. In combination with experimental manipulations, these latent variables c ...

Article GUID: 29066078


Who Should Decide How Machines Make Morally Laden Decisions?

Author(s): Dominic Martin

Who should decide how a machine will decide what to do when it is driving a car, performing a medical procedure, or, more generally, when it is facing any kind of morally laden decision? More and more, machines are making complex decisions with a considerable level of autonomy. We should be much more preoccupied by this problem than we currently are. Afte ...

Article GUID: 27905083


No food left behind: foraging route choices among free-ranging Japanese macaques (Macaca fuscata) in a multi-destination array at the Awajishima Monkey Center, Japan

Author(s): Joyce MM; Teichroeb JA; Kaigaishi Y; Stewart BM; Yamada K; Turner SE;

Animals must make route choices every day when moving through their habitat while foraging. Choosing an optimal route can be cognitively costly, and primates and other animals have been shown to use simple heuristics, "rules of thumb", to make foraging route choices. We investigated the potential use of heuristics among foraging free-ranging Japanese monk ...

Article GUID: 37278740


Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics

Author(s): Abicumaran Uthamacumaran

Cancers are complex dynamic ecosystems. Reductionist approaches to science are inadequate in characterizing their self-organized patterns and collective emergent behaviors. Since current approaches to single-cell analysis in cancer systems rely primarily on single time-point multiomics, many of the temporal features and causal adaptive behaviors in cancer ...

Article GUID: 35678918


Neural evidence for age-related deficits in the representation of state spaces

Author(s): Ruel A; Bolenz F; Li SC; Fischer A; Eppinger B;

Under high cognitive demands, older adults tend to resort to simpler, habitual, or model-free decision strategies. This age-related shift in decision behavior has been attributed to deficits in the representation of the cognitive maps, or state spaces, necessary for more complex model-based decision-making. Yet, the neural mechanisms behind this shift rem ...

Article GUID: 35510942


Resource-rational approach to meta-control problems across the lifespan

Author(s): Ruel A; Devine S; Eppinger B;

Over the last decade, research on cognitive control and decision-making has revealed that individuals weigh the costs and benefits of engaging in or refraining from control and that whether and how they engage in these cost-benefit analyses may change across development and during healthy aging. In the present article, we examine how lifespan age differen ...

Article GUID: 33590729


Developmental Changes in Learning: Computational Mechanisms and Social Influences.

Author(s): Bolenz F, Reiter AMF, Eppinger B

Front Psychol. 2017;8:2048 Authors: Bolenz F, Reiter AMF, Eppinger B

Article GUID: 29250006


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