11 citations · 54 across the 14 of their papers we have counts for
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cs.NE2016★ 3 cited
Learning binary or real-valued time-series via spike-timing dependent plasticity
Takayuki Osogami
A dynamic Boltzmann machine (DyBM) has been proposed as a model of a spiking neural network, and its learning rule of maximizing the log-likelihood of given time-series has been sh…
cs.LG2016
Regularized Dynamic Boltzmann Machine with Delay Pruning for Unsupervised Learning of Temporal Sequences
Sakyasingha Dasgupta, Takayuki Yoshizumi, Takayuki Osogami
We introduce Delay Pruning, a simple yet powerful technique to regularize dynamic Boltzmann machines (DyBM). The recently introduced DyBM provides a particularly structured Boltzma…