Results 61 to 70 of about 10,231,702 (322)
SpikingLab: modelling agents controlled by Spiking Neural Networks in Netlogo [PDF]
The scientific interest attracted by Spiking Neural Networks (SNN) has lead to the development of tools for the simulation and study of neuronal dynamics ranging from phenomenological models to the more sophisticated and biologically accurate Hodgkin-and-
A Cyr+19 more
core +1 more source
Multielement Filament Memristor Enabling Multifunctional Neuromorphic Device
A new type of memristor featuring a hybrid mechanism and multifunctional applications is introduced. The proposed single device combines the alloy metal filament with the oxygen vacancy filament to achieve both resistive and threshold switching with enhanced reliability, mimicking both biological synapses and nociceptors. This study shows that filament‐
Mingu Jang+4 more
wiley +1 more source
A population of neurons interconnected by synapses constitutes a neural circuit, which performs specific functions upon activation. It is essential to identify both anatomical and functional entities of neural circuits to comprehend the components and ...
Allison N Castaneda+6 more
doaj +1 more source
Neuromodulated Spike-Timing-Dependent Plasticity and Theory of Three-Factor Learning Rules
Classical Hebbian learning puts the emphasis on joint pre- and postsynaptic activity, but neglects the potential role of neuromodulators. Since neuromodulators convey information about novelty or reward, the influence of neuromodulatorson synaptic ...
Wulfram eGerstner, Nicolas eFremaux
doaj +1 more source
A Novel Approach to Implementing Artificial Thalamic Neurons with Ferroelectric Transistors
Artificial neurons created using CMOS technology often require a large number of transistors and capacitors. This study introduces an artificial thalamic neuron that employs only five CMOS compatible ferroelectric transistors. The manufactured thalamic neuron demonstrates leaky integrate‐and‐fire‐or‐burst (LIFB) functionalities, featuring self ...
Andreas Grenmyr+7 more
wiley +1 more source
Tutorial: Neuromorphic spiking neural networks for temporal learning
Spiking neural networks (SNN) as time-dependent hypotheses consisting of spiking nodes (neurons) and directed edges (synapses) are believed to offer unique solutions to reward prediction tasks and the related feedback that are classified as reinforcement
Jeong, Doo Seok
core +1 more source
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du+11 more
wiley +1 more source
Transcranial focused ultrasound induces sustained synaptic plasticity in rat hippocampus
Transcranial focused ultrasound (tFUS) neuromodulation provides a promising emerging non-invasive therapy for the treatment of neurological disorders.
Xiaodan Niu, Kai Yu, Bin He
doaj
Engineering Assembloids to Mimic Graft‐Host Skeletal Muscle Interaction
This study develops a graft‐host skeletal muscle assembloid model combining neuromuscular organoids with tissue‐engineered constructs. Pre‐seeding decellularized muscles with myogenic cells enhances cell migration and axon invasion from the organoid. The model exhibits regenerative capacity following acute damage, advancing the understanding of human ...
Lucia Rossi+13 more
wiley +1 more source
A wireless cortical surface implant employing graphene electrode arrays diagnoses and alleviates Parkinson's disease symptoms in freely moving animals. The device continuously monitors cortical activity and delivers targeted stimulation, restoring beta–gamma and delta oscillations.
Hongseong Shin+15 more
wiley +1 more source