Modeling triplet spike-timing-dependent plasticity using memristive devices
نویسندگان
چکیده
منابع مشابه
Spike timing dependent plasticity: mechanisms, significance, and controversies
Long-term modification of synaptic strength is one of the basic mechanisms of memory formation and activity-dependent refinement of neural circuits. This idea was purposed by Hebb to provide a basis for the formation of a cell assembly. Repetitive correlated activity of pre-synaptic and post-synaptic neurons can induce long-lasting synaptic strength modification, the direction and extent of whi...
متن کاملSpike timing dependent plasticity: mechanisms, significance, and controversies
Long-term modification of synaptic strength is one of the basic mechanisms of memory formation and activity-dependent refinement of neural circuits. This idea was purposed by Hebb to provide a basis for the formation of a cell assembly. Repetitive correlated activity of pre-synaptic and post-synaptic neurons can induce long-lasting synaptic strength modification, the direction and extent of whi...
متن کاملOn Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex
In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are linking one type of memristor nanotechnology devices to the biological synaptic update rule known as spike-time-dependent-plasticity (STDP) found in real biological synapses. Understanding this link allows neuromorphic engin...
متن کاملSpike-timing dependent plasticity
Spike Timing Dependent Plasticity (STDP) is a temporally asymmetric form of Hebbian learning induced by tight temporal correlations between the spikes of preand postsynaptic neurons. As with other forms of synaptic plasticity, it is widely believed that it underlies learning and information storage in the brain, as well as the development and refinement of neuronal circuits during brain develop...
متن کاملSpike-Timing Dependent Plasticity
One of the most prominent but least understood neuroanatornical features of the cerebral cortex is feedback. Neurons within a cortical area generally receive massive excitatory feedback from other neurons in the same cortical area. Some of these neurons, especially those in the superficial layers, send feedforward axons to higher cortical areas while others neurons, particularly those in the de...
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ژورنال
عنوان ژورنال: Journal of Computational Electronics
سال: 2017
ISSN: 1569-8025,1572-8137
DOI: 10.1007/s10825-017-0972-0