Results 221 to 230 of about 397,035 (315)

Liquid Metal Sensors for Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang   +7 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Feature-specific predictive processing: What's in a prediction error? [PDF]

open access: yesImaging Neurosci (Camb)
Richter D, Uran C, Vinck M, de Lange FP.
europepmc   +1 more source

RIG‐I Mediated Neuron‐Specific IFN Type 1 Signaling in FUS‐ALS Induces Neurodegeneration and Offers New Biomarker‐Driven Individualized Treatment Options for (FUS‐)ALS

open access: yesAdvanced Science, EarlyView.
Using iPSC‐derived motoneurons and postmortem tissue from FUS‐ALS patients, it is demonstrated that increased mitochondrial transcription leads to elevated cytosolic double‐stranded RNA (dsRNA) levels. This aberrant accumulation activates a RIG‐I–dependent innate immune response leading to neurodegeneration, which is amenable for FDA‐ and EMA‐approved ...
Marcel Naumann   +26 more
wiley   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

open access: yesAdvanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang   +51 more
wiley   +1 more source

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