21 citations · 21 across the 1 of their papers we have counts for
3 papers
How single neuron properties shape chaotic dynamics and signal transmission in random neural networks
Samuel P. Muscinelli, Wulfram Gerstner, Tilo Schwalger
While most models of randomly connected networks assume nodes with simple dynamics, nodes in realistic highly connected networks, such as neurons in the brain, exhibit intrinsic dy…
Optimal stimulation protocol in a bistable synaptic consolidation model
Chiara Gastaldi, Samuel P. Muscinelli, Wulfram Gerstner
Consolidation of synaptic changes in response to neural activity is thought to be fundamental for memory maintenance over a timescale of hours. In experiments, synaptic consolidati…
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…