Results 91 to 100 of about 999,561 (325)
Optimal percentage of inhibitory synapses in multi-task learning
, 2015 Performing more tasks in parallel is a typical feature of complex brains. These are characterized by the coexistence of excitatory and inhibitory synapses, whose percentage in mammals is measured to have a typical value of 20-30\%.
Capano, Vittorio +2 more
core +1 more source
On Myelinated Axon Plasticity and Neuronal Circuit Formation and Function
Journal of Neuroscience, 2017 Studies of activity-driven nervous system plasticity have primarily focused on the gray matter. However, MRI-based imaging studies have shown that white matter, primarily composed of myelinated axons, can also be dynamically regulated by activity of the ...
R. Almeida, D. Lyons
semanticscholar +1 more source
Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth
Advanced Functional Materials, EarlyView.Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung +8 more
wiley +1 more source
Solving the binding problem: cellular adhesive molecules and their control of the cortical quantum entangled network [PDF]
, 2003 Quantum entanglement is shown to be the only acceptable physical solution to the binding problem. The biological basis of interneuronal entanglement is described in the frames of the beta-neurexin-neuroligin model developed by Georgiev (2002) and is ...
Georgiev, Danko
core
Advanced Functional Materials, EarlyView.Spinal cord injury (SCI) poses significant challenges for regeneration due to a series of secondary injury mechanisms. How to use biomaterial approach to target the failed regeneration after SCI remains a critical challenge. This review systematically evaluates current strategies to optimize biomaterial topographies for neurite outgrowth, axonal ...
Wei Xu +7 more
wiley +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Janus (MoS2) transistors functionalized with sodium alginate (SA) and poly(vinylidene fluoride‐co‐trifluoroethylene) [P(VDF‐TrFE)] exhibit persistent photo‐induced ionic gating, driven by dynamic cation migration at the hybrid interface. This ionic mechanism enables finely tunable photoconductivity and emulates key synaptic plasticity behaviors ...
Yeonsu Jeong +5 more
wiley +1 more source
Inflammation and neuronal plasticity: a link between childhood trauma and depression pathogenesis
Frontiers in Cellular Neuroscience, 2015 During the past two decades, there has been increasing interest in understanding and characterizing the role of inflammation in major depressive disorder (MDD).
A. Cattaneo +6 more
semanticscholar +1 more source
Neuronal plasticity in nematode worms [PDF]
Nature, 2018 Neuronal activity induces changes in the connectivity of a neuron called DVB in adult male nematode worms. This discovery provides an opportunity to study a fundamental process in this powerful model organism. Neuronal activity induces changes in the connectivity of a neuron called DVB in adult male nematode worms.
openaire +3 more sources
Advanced Functional Materials, EarlyView.A complementary charge‐trap memristor (CoCTM) featuring a unique current transient with tunable overshoot‐relaxation dynamics is introduced for high‐resolution reservoir computing. By leveraging higher‐order temporal dynamics from engineered trapping layers, the device generates multiple output states from a single input, forming rich, high‐dimensional
Alba Martinez +9 more
wiley +1 more source