Related Events (a corresponding poster, oral, or spotlight)

• 2007 Spotlight: Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity »
  Wed. Dec 5th 11:20 -- 11:30 PM Room

More from the Same Authors

• 2020 Poster: H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks »
  Thomas Limbacher · Robert Legenstein
• 2020 Spotlight: H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks »
  Thomas Limbacher · Robert Legenstein
• 2019 : Poster Session »
  Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar
• 2019 : Contributed Talk #2: Slow processes of neurons enable a biologically plausible approximation to policy gradient »
  Wolfgang Maass
• 2019 : Coffee Break & Poster Session »
  Samia Mohinta · Andrea Agostinelli · Alexandra Moringen · Jee Hang Lee · Yat Long Lo · Wolfgang Maass · Blue Sheffer · Colin Bredenberg · Benjamin Eysenbach · Liyu Xia · Efstratios Markou · Jan Lichtenberg · Pierre Richemond · Tony Zhang · JB Lanier · Baihan Lin · William Fedus · Glen Berseth · Marta Sarrico · Matthew Crosby · Stephen McAleer · Sina Ghiassian · Franz Scherr · Guillaume Bellec · Darjan Salaj · Arinbjörn Kolbeinsson · Matthew Rosenberg · Jaehoon Shin · Sang Wan Lee · Guillermo Cecchi · Irina Rish · Elias Hajek
• 2018 Poster: Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons »
  Nima Anari · Constantinos Daskalakis · Wolfgang Maass · Christos Papadimitriou · Amin Saberi · Santosh Vempala
• 2018 Poster: Long short-term memory and Learning-to-learn in networks of spiking neurons »
  Guillaume Bellec · Darjan Salaj · Anand Subramoney · Robert Legenstein · Wolfgang Maass
• 2016 : Reward-based self-configuration of networks of spiking neurons »
  Wolfgang Maass
• 2016 : Robert Legenstein (Graz University of Technology) »
  Robert Legenstein
• 2015 Poster: Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring »
  David Kappel · Stefan Habenschuss · Robert Legenstein · Wolfgang Maass
• 2009 Poster: Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning »
  Robert Legenstein · Steven Chase · Andrew B Schwartz · Wolfgang Maass
• 2009 Oral: Functional Network Reorganization In Motor Cortex Can Be Explained by Reward-Modulated Hebbian Learning »
  Robert Legenstein · Steven Chase · Andrew B Schwartz · Wolfgang Maass
• 2009 Poster: STDP enables spiking neurons to detect hidden causes of their inputs »
  Bernhard Nessler · Michael Pfeiffer · Wolfgang Maass
• 2009 Spotlight: STDP enables spiking neurons to detect hidden causes of their inputs »
  Bernhard Nessler · Michael Pfeiffer · Wolfgang Maass
• 2009 Poster: Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks »
  Stefan Klampfl · Wolfgang Maass
• 2009 Spotlight: Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks »
  Stefan Klampfl · Wolfgang Maass
• 2008 Poster: On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing »
  Benjamin Schrauwen · Lars Buesing · Robert Legenstein
• 2008 Oral: On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing »
  Benjamin Schrauwen · Lars Buesing · Robert Legenstein
• 2008 Poster: Hebbian Learning of Bayes Optimal Decisions »
  Bernhard Nessler · Michael Pfeiffer · Wolfgang Maass
• 2007 Poster: Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons »
  Lars Buesing · Wolfgang Maass
• 2006 Workshop: Echo State Networks and Liquid State Machines »
  Herbert Jaeger · Wolfgang Maass · Jose C Principe
• 2006 Poster: Temporal dynamics of information content carried by neurons in the primary visual cortex »
  Danko Nikolic · Stefan Haeusler · Wolf Singer · Wolfgang Maass
• 2006 Poster: Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons »
  Stefan Klampfl · Robert Legenstein · Wolfgang Maass