Results 81 to 90 of about 13,938 (239)
Acute myocardial infarction (AMI) remains a significant health challenge globally, highlighting the ongoing need for effective treatments. Shexiang-Tongxin dropping pill (STDP) is widely utilized as a therapeutic option for AMI in China and Southeast ...
Jun Yan +6 more
doaj +1 more source
Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks [PDF]
Gaspard Goupy +2 more
openalex +1 more source
Here, a bioinspired light‐accelerated neuromorphic system that seamlessly links tactile sensing, first‐spike‐timing (FST) encoding, and light–electric synaptic learning. Pressure stimuli trigger FST spikes in dual‐gate PDTFTs, while GaOx/IGZO hetero‐synapses exhibit enhanced memory under optical–electrical co‐activation, enabling spiking neural ...
Dan Cai +9 more
wiley +1 more source
Long-term potentiation (LTP) and long-term depression (LTD) are generally assumed to be cellular correlates for learning and memory. Different types of LTP induction protocols differing in severity of stimulation can be distinguished in CA1 of the ...
Elke eEdelmann +2 more
doaj +1 more source
Heteroysynaptic memtransistors are fabricated using a combination of π‐conjugated organic semiconductor TCTA and TMDC MoS2 heterostructure with bottom‐contact architecture. Non‐volatile heterosynaptic and homosynaptic functions such as long‐term plasticity and spike‐timing‐dependent plasticity are emulated by drain and gate pulses based on conduction ...
Taek Joon Kim +5 more
wiley +1 more source
STDP Pattern Onset Learning Depends on Background Activity [PDF]
Spike-timing dependent plasticity is a learning mechanism used extensively within neural modelling. The learning rule has been shown to allow a neuron to find the beginning of a repeated spatio-temporal pattern among its afferents. In this study we adduce that such learning is dependent on background activity, and is un-stable when in a noisy framework.
Humble, James +3 more
openaire +3 more sources
Synapse location, dendritic active properties and synaptic plasticity are all known to play some role in shaping the different input streams impinging onto a neuron.
Nicolangelo L Iannella +4 more
doaj +1 more source
Dual Bipolar Resistive Switching in Wafer‐Scalable 2D Perovskite Oxide Nanosheets‐Based Memristor
A wafer‐scalable memristor based on 2D Sr2Nb3O₁₀ perovskite oxide nanosheets exhibits dual bipolar resistive switching through controllable oxygen ion migration and redox reactions. This single device enables both STDP and anti‐STDP synaptic functions, achieving 86.4% MNIST accuracy in supervised spiking neural networks, offering a compact, energy ...
Sohwi Kim +11 more
wiley +1 more source
A Supervised STDP-based Training Algorithm for Living Neural Networks
Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection.
Berdichevsky, Yevgeny +6 more
core +1 more source
A plasmonic optoelectronic memristor based on Te nanowires‐Au nanoparticles/ι‐carrageenan enables IR‐programmed and visiblelight‐erased non‐volatile conductance. The all‐photonic write/erase scheme supports in‐sensor logic and real‐time motion detection in darkness.
Jingyao Bian +7 more
wiley +1 more source

