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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 ...
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 ...
Video Journal of Machine Learning Abstracts » Volume 2 | Knowledge 4...
www.k4all.org
Johanni Brea. Information Rates and Optimal Decoding in Large Neural Populations David Pfau. A blind deconvolution method for neural spike identification
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 ...
NIPS | Memming
memming.wordpress.com
Johanni Brea, Walter Sen, Jean-Pascal Pfister. Given a point process, the problem is to train a spiking neural network composed of GLM units (including hidden units) that would generate the training patterns. Minimization of KL-divergence between the given point process, and the one parameterized by ...
Geometry of the Loss Landscape in Overparameterized Neural ...proceedings.mlr.press › ...
proceedings.mlr.press
Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clement Hongler, Wulfram Gerstner, Johanni Brea. Proceedings of the 38th International ...
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 ...
Matching Recall and Storage in Sequence Learning with Spiking Neural...
www.jneurosci.org
Johanni Brea, Walter Senn and Jean-Pascal Pfister. Journal of Neuroscience 5 June 2013, 33 (23) ; DOI: https://doi.org JNEUROSCI Johanni Brea. Department of Physiology, and Center for Cognition, Learning, and Memory, University of Bern, CH Bern, Switzerland.
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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