21 citations · 26 across the 2 of their papers we have counts for
2 papers
q-bio.NC2017★ 5 cited
Efficient low-dimensional approximation of continuous attractor networks
Alexander Seeholzer, Moritz Deger, Wulfram Gerstner
Continuous "bump" attractors are an established model of cortical working memory for continuous variables and can be implemented using various neuron and network models. Here, we d…
stat.ML2016★ 21 cited
Algorithmic Composition of Melodies with Deep Recurrent Neural Networks
Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer +2
A big challenge in algorithmic composition is to devise a model that is both easily trainable and able to reproduce the long-range temporal dependencies typical of music. Here we i…