Publications

Franz Scherr, Qinghai Guo, Timoleon Moraitis (2022). Self-supervised Learning Through Efference Copies. NeurIPS 2022.

Cite arXiv NeurIPS 2022 OpenReview

Guozhang Chen, Franz Scherr, Wolfgang Maass (2022). A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing. Science Advances.

Cite DOI Science Advances

Dennis V Christensen, Regina Dittmann, Bernabe 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 Marković, 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 Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A Cleland, Christoph Posch, ShihChii 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 (2022). 2022 roadmap on neuromorphic computing and engineering. IOP Publishing.

Cite DOI IOP Publishing

Franz Scherr, Wolfgang Maass (2021). Analysis of the computational strategy of a detailed laminar cortical microcircuit model for solving the image-change-detection task. bioRxiv.

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Anand Subramoney, Franz Scherr, Wolfgang Maass (2021). Reservoirs learn to learn. Reservoir Computing.

Cite DOI Reservoir Computing - Springer

Friedemann Zenke, Sander M. Bothé, Claudia Clopath, Iulia M.Comşa, Julian Göltz, WolfgangMaass, Timothée Masquelier, RichardNaud, Emre O.Neftci, Mihai A.Petrovici, Franz Scherr, Dan F.M.Goodman (2021). Visualizing a joint future of neuroscience and neuromorphic engineering. Neuron.

Cite DOI Neuron

Anand Subramoney, Franz Scherr, Guillaume Bellec, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass (2020). Slow processes of neurons enable a biologically plausible approximation to policy gradient. NeurIPS 2019 - Biological and Artificial RL.

Workshop Homepage Contributed Talk

Franz Scherr, Christoph Stöckl, Wolfgang Maass (2020). One-shot learning with spiking neural networks. bioRxiv.

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Guillaume Bellec, Franz Scherr, Anand Subramoney, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass (2020). A solution to the learning dilemma for recurrent networks of spiking neurons. Nature Communications.

Cite DOI Nature Communications Code

Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass (2019). Eligibility traces provide a data-inspired alternative to backpropagation through time. NeurIPS 2019 - Real Neurons & Hidden Units workshop.

OpenReview Workshop Homepage Contributed Talk

Thomas Bohnstingl, Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass (2019). Neuromorphic Hardware Learns to Learn. Neuromorphic Hardware Learns to Learn.

Cite DOI Frontiers in Neuroscience Code

Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass (2019). Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets. arXiv.

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