STDP: spiking, timing, rates and beyond
نویسندگان
چکیده
منابع مشابه
STDP: Spiking, Timing, Rates and Beyond
Our view of the world has changed dramatically since it was realized in the early 1970s that networks of neurons can form mappings that are associative, content addressable and relatively invulnerable to the loss of individual neurons or synapses – thus potential candidates for memory storage in the animal brain (Anderson et al., 1972). But how, we asked ourselves, could such mappings be constr...
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The primate visual system has inspired the development of deep artificial neural networks, which have revolutionized the computer vision domain. Yet these networks are much less energy-efficient than their biological counterparts, and they are typically trained with backpropagation, which is extremely data-hungry. To address these limitations, we used a deep convolutional spiking neural network...
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The idea that synaptic plasticity holds the key to the neural basis of learning and memory is now widely accepted in neuroscience. The precise mechanism of changes in synaptic strength has, however, remained elusive. Neurobiological research has led to the postulation of many models of plasticity, and among the most contemporary are spike-timing dependent plasticity (STDP) and long-term potenti...
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ژورنال
عنوان ژورنال: Frontiers in Synaptic Neuroscience
سال: 2010
ISSN: 1663-3563
DOI: 10.3389/fnsyn.2010.00014