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Wulfram Gerstner | Papers With Codepaperswithcode.com › author › wulfram-gerstner
paperswithcode.com
no code implementations • ICLR • Bernd Illing, Wulfram Gerstner, Johanni Brea. An appealing alternative to training deep neural networks is to use one ...
Biologically plausible deep learning--but how far can we go ...arxiv.org › cs
arxiv.org
Title:Biologically plausible deep learning -- but how far can we go with shallow networks? Authors:Bernd Illing, Wulfram Gerstner, Johanni Brea.
Matching Recall and Storage in Sequence Learning with Spiking Neural...
www.jneurosci.org
· Matching Recall and Storage in Sequence Learning with Spiking Neural Networks. Johanni Brea, Walter Senn and Jean-Pascal Pfister.
Sequence learning with hidden units in spiking neural networkspapers.nips.cc › paper › sequ...
papers.nips.cc
Authors. Johanni Brea · Walter Senn · Jean-pascal Pfister. Abstract. We consider a statistical framework in which recurrent networks of spiking neurons learn to ...
CiteM - OeisWiki
oeis.org
Fionn Murtagh, Symmetry in Data Mining and Analysis: A Unifying View based on Hierarchy (2008); arXiv: ; Samuel P. Muscinelli, Wulfram Gerstner & Johanni Brea, Exponentially long orbits in Hopfield neural networks, Preprint, 2016; http://lcn.epfl.ch/~brea/docs/MuscinelliGerstnerBrea2016.pdf; G. Musiker, ...
JISCMail - MUSICAL-AESTHETICS Archives
www.jiscmail.ac.uk
... Machine-Learning Generative Systems * Algorithmic Composition of Melodies with Deep Recurrent Neural Networks – Florian Colombo, Samuel P. Muscinelli, Alex Seeholzer, Johanni Brea, Wulfram Gerstner * Text-based LSTM Networks for Automatic Music Composition – Keunwoo Choi, George Fazekas, Mark Sandler ...
Sequence learning with hidden units in by Johanni Brea @VideoLectures...
www.jobilize.com
Video Lecture: We consider a statistical framework in which recurrent networks of spiking neurons learn to generate spatio-temporal spike patterns by Johanni...
224 nips Probabilistic Modeling of Dependencies Among Visual...
makerhacker.github.io
Author: Johanni Brea, Walter Senn, Jean-pascal Pfister. Abstract: We consider a statistical framework in which recurrent networks of spiking neurons learn to ...
Final Call for Registration - 1st Conference on Computer Simulation of ...www.auditory.org › postings
www.auditory.org
... Samuel P. Muscinelli, Alex Seeholzer, Johanni Brea,= Wulfram Gerstner * Text-based LSTM Networks for Automatic Music Composition =
Exponentially Long Orbits in Hopfield Neural Networks | MIT CogNet
cognet.mit.edu
Johanni Brea. School of Computer and Communication Sciences and Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne ...
CiteSeerX — Sequence learning with hidden units in spiking neural...
citeseerx.ist.psu.edu
author = {Johanni Brea and Walter Senn and Jean-pascal Pfister}, title = {Sequence learning with hidden units in spiking neural networks}, booktitle = {In Proc. of ...
[ ] Algorithmic Composition of Melodies with Deep Recurrent...
128.84.21.199
... Deep Recurrent Neural Networks. Authors:Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer, Johanni Brea, Wulfram Gerstner.
Towards deep learning with spiking neurons in energy based models ...
www.semanticscholar.org
Johanni Brea. École Polytechnique Fédéral de Lausanne Lausanne, Switzerland . Abstract. In machine learning, error back-propagation in multi-layer neural networks (deep learning) has been impressively successful in supervised and reinforcement learning tasks. As a model ...
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