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Dec 31, 2022 · This progress inspires our exploration into a new paradigm for Spiking Neural Networks (SNNs): a Plasticity-Driven Learning Framework (PDLF).
Sep 4, 2024 · Metaplasticity dynamically combines different plasticity rules, effectively enhancing working memory, multitask generalization, and adaptability ...
Aug 23, 2023 · This progress inspires our exploration into a new paradigm for Spiking Neural Networks (SNNs): a Plasticity-Driven Learning Framework (PDLF).
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What is the difference between plasticity and metaplasticity?
What is homeostatic plasticity in neural development?
What is Hebbian synaptic plasticity and homeostatic synaptic plasticity?
What is the mechanism of metaplasticity?
Metaplasticity dynamically combines different plasticity rules, effectively enhancing working memory, multitask generalization, and adaptability while ...
Code for Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks - FloyedShen/Plasticity_Driven_Learning_Framework.
Aug 23, 2023 · This framework sheds light on the intricate relationships between various forms of plasticity and cognitive functions, thereby contributing ...
Metaplasticity entails a change in the physiological or biochemical state of neurons or synapses that alters their ability to generate synaptic plasticity.
Feb 1, 2024 · This progress inspires our exploration into a new paradigm for Spiking Neural Networks (SNNs): a Plasticity-Driven Learning Framework (PDLF).
Hebbian plasticity provides a synaptic basis for associative learning, whereas homeostatic plasticity serves to stabilize network activity.
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Hebbian plasticity, a synaptic mechanism which detects and amplifies co-activity between neurons, is considered a key ingredient underlying learning and ...