Results 61 to 70 of about 1,951,824 (276)
Mathematical neuroscience: from neurons to circuits to systems [PDF]
Journal of Physiology-Paris, 2003 Applications of mathematics and computational techniques to our understanding of neuronal systems are provided. Reduction of membrane models to simplified canonical models demonstrates how neuronal spike-time statistics follow from simple properties of neurons.
Boris, Gutkin +2 more
openaire +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Miami Neuroscience Institute - Summer 2020
, 2020 https://scholarlycommons.baptisthealth.net/bg-bh-neuroscience-news/1002/thumbnail ...
Miami Neuroscience Institute
core +1 more source
Advanced Materials Technologies, EarlyView.Optically pumped magnetometers are employed to contactlessly map the spatiotemporal dynamics of the magnetic field linked to electrical activity of a skeletal muscle in vivo. It is demonstrated that localization of the clinically relevant innervation zone is feasible using this non‐invasive magnetic measurement modality. ABSTRACT Magnetomyography (MMG)
Simon Nordenström +12 more
wiley +1 more source
Implications of Visuospatial Skills and Executive Functions for Learning Mathematics
AERA Open, 2016 The purpose of this article is to review the literature and apply a developmental neuroscience perspective in investigating the role of two interrelated cognitive processes—executive functions (EFs) and visuospatial (VS) skills—which have been ...
Helyn Kim, Claire E. Cameron
doaj +1 more source
Extrusion‐Based Bioprinting of Living Bioinks for Tissue and Organ Engineering
Advanced Materials Technologies, EarlyView.Extrusion‐based bioprinting is presented as the most versatile route for fabricating living, heterogeneous tissues. Its ability to combine diverse bioinks, support matrices, and advanced printhead geometries transforms familiar constraints into powerful biofabrication opportunities.
Eric Silberman +4 more
wiley +1 more source
Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model. [PDF]
PLoS ONE, 2016 Computational models of cognition provide an interface to connect advanced mathematical tools and methods to empirically supported theories of behavior in psychology, cognitive science, and neuroscience. In this article, we consider a computational model
Nadia Said +4 more
doaj +1 more source
The Mind From Within: Visceral Roots of Human Cognition
Advanced Science, EarlyView.The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti +1 more
wiley +1 more source
Miami Neuroscience Institute - Fall 2020
, 2020 https://scholarlycommons.baptisthealth.net/bg-bh-neuroscience-news/1003/thumbnail ...
Miami Neuroscience Institute
core +1 more source