Wolfgang Maass 0001 - researchr alias

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Viewing Publication 1 - 19 from 19

2024

2022

2022 roadmap on neuromorphic computing and engineeringDennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass 0001, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds. neuromorphic, 2(2):22501, 2022. [doi]

A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic HardwareArjun Rao, Philipp Plank, Andreas Wild, Wolfgang Maass 0001. natmi, 4(5):467-479, 2022. [doi]

2021

Spike-Based Symbolic Computations on Bit Strings and NumbersCeca Kraisnikovic, Wolfgang Maass 0001, Robert Legenstein. In Hitzler Pascal, Sarker Md Kamruzzaman, editors, Neuro-Symbolic Artificial Intelligence: The State of the Art. Volume 342 of Frontiers in Artificial Intelligence and Applications, pages 214-234, IOS Press, 2021. [doi]

Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikesChristoph Stöckl, Wolfgang Maass 0001. natmi, 3(3):230-238, 2021. [doi]

Reservoirs Learn to LearnAnand Subramoney, Franz Scherr, Wolfgang Maass 0001. In Kohei Nakajima, Ingo Fischer, editors, Reservoir Computing - Theory, Physical Implementations, and Applications. Natural Computing Series, pages 59-76, Springer, 2021. [doi]

2019

Brain Computation: A Computer Science PerspectiveWolfgang Maass 0001, Christos H. Papadimitriou, Santosh Vempala, Robert A. Legenstein. In VIDEO: Lecture Notes in Computer Science Celebrates 10,000th Manuscript!. Volume 10000 of Lecture Notes in Computer Science, pages 184-199, Springer, 2019. [doi]

Embodied Synaptic Plasticity With Online Reinforcement LearningJacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert A. Legenstein, Arne Rönnau, Wolfgang Maass 0001, Rüdiger Dillmann. finr, 2019:81, 2019. [doi]

Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 PrototypeYexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass 0001, Robert A. Legenstein, Christian Mayr. tbcas, 13(3):579-591, 2019. [doi]

2018

2016

Energy-efficient neural network chips approach human recognition capabilitiesWolfgang Maass 0001. pnas, 113(41):11387-11389, 2016. [doi]

1996

Lower Bounds for the Computational Power of Networks of Spiking NeuronsWolfgang Maass 0001. neco, 8(1):1-40, 1996. [doi]

1995

Agnostic PAC Learning of Functions on Analog Neural NetsWolfgang Maass 0001. neco, 7(5):1054-1078, 1995. [doi]

1993

On the complexity of learning on neural netsWolfgang Maass 0001. eurocolt 1994: 1-17

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