منابع مشابه
Representation Learning using Event-based STDP
Although representation learning methods developed within the framework of traditional neural networks are relatively mature, developing a spiking representation model remains a challenging problem. This paper proposes an event-based method to train a feedforward spiking neural network (SNN) for extracting visual features. The method introduces a novel spike-timing-dependent plasticity (STDP) r...
متن کاملCompetitive STDP-Based Spike Pattern Learning
Recently it has been shown that a repeating arbitrary spatiotemporal spike pattern hidden in equally dense distracter spike trains can be robustly detected and learned by a single neuron equipped with spike-timing-dependent plasticity (STDP) (Masquelier, Guyonneau, & Thorpe, 2008). To be precise, the neuron becomes selective to successive coincidences of the pattern. Here we extend this scheme ...
متن کاملSynaptic Learning beyond Stdp
Spike time dependent plasticity (STDP) describes only one aspect of the signalling requirements for learning (long lasting plasticity) at synapses. A fundamental signal for plasticity at excitatory synapses is the time course of the calcium concentration in the postsynaptic spine head. Differential timings of presynaptic and postsynaptic spikes do influence spine calcium concentrations and henc...
متن کاملUnsupervised Feature Learning With Winner-Takes-All Based STDP
We present a novel strategy for unsupervised feature learning in image applications inspired by the Spike-Timing-Dependent-Plasticity (STDP) biological learning rule. We show equivalence between rank order coding Leaky-Integrate-and-Fire neurons and ReLU artificial neurons when applied to non-temporal data. We apply this to images using rank-order coding, which allows us to perform a full netwo...
متن کاملEnergy-Efficient STDP-Based Learning Circuits with Memristor Synapses
It is now accepted that the traditional von Neumann architecture, with processor and memory separation, is ill suited to process parallel data streams which a mammalian brain can efficiently handle. Moreover, researchers now envision computing architectures which enable cognitive processing of massive amounts of data by identifying spatio-temporal relationships in real-time and solving complex ...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2018
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2018.05.018