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Franz Scherr · SciRah

Researcher profile · Semantic Scholar

Franz Scherr

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Franz Scherr — researcher profile on SciRah

h-index: 10
Works: 34
Citations: 1,619

Most-cited papers

A solution to the learning dilemma for recurrent networks of spiking neurons
G. Bellec, Franz Scherr, Anand Subramoney, Elias Hajek +3 more
2019Nature Communications665 citations Open access
Semantic Scholar
2022 roadmap on neuromorphic computing and engineering
D. Christensen, R. Dittmann, B. Linares-Barranco, A. Sebastian +55 more
2021Neuromorph. Comput. Eng.619 citations Open access
Semantic Scholar
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
G. Bellec, Franz Scherr, Elias Hajek, Darjan Salaj +2 more
2019arXiv.org97 citations
Semantic Scholar
A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing
Guo-Zhang Chen, Franz Scherr, W. Maass
2021bioRxiv55 citations
Semantic Scholar
Neuromorphic Hardware Learns to Learn
T. Bohnstingl, Franz Scherr, Christian Pehle, K. Meier +1 more
2019Frontiers in Neuroscience54 citations Open access
Semantic Scholar
One-shot learning with spiking neural networks
Franz Scherr, Christoph Stöckl, W. Maass
2020bioRxiv23 citations Open access
Semantic Scholar
Reservoirs learn to learn
Anand Subramoney, Franz Scherr, W. Maass
2019Reservoir Computing22 citations Open access
Semantic Scholar
2021 Roadmap on Neuromorphic Computing and Engineering
D. Christensen, R. Dittmann, B. Linares-Barranco, A. Sebastian +52 more
2021arXiv.org18 citations
Semantic Scholar
Self-Supervised Learning Through Efference Copies
Franz Scherr, Qinghai Guo, Timoleon Moraitis
2022Neural Information Processing Systems14 citations Open access
Semantic Scholar
Eligibility traces provide a data-inspired alternative to backpropagation through time
G. Bellec, Franz Scherr, Elias Hajek, Darjan Salaj +3 more
201911 citations
Semantic Scholar
Fast learning without synaptic plasticity in spiking neural networks
Anand Subramoney, G. Bellec, Franz Scherr, R. Legenstein +1 more
2024Scientific Reports9 citations Open access
Semantic Scholar
Analysis of the computational strategy of a detailed laminar cortical microcircuit model for solving the image-change-detection task
Franz Scherr, W. Maass
2021bioRxiv7 citations Open access
Semantic Scholar
CCN GAC Workshop: Issues with learning in biological recurrent neural networks
Luke Y. Prince, E. Boven, Roy Henha Eyono, Arna Ghosh +8 more
2021arXiv.org5 citations
Semantic Scholar
Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations
J. G. Fraile, Franz Scherr, J. Ramasco, A. Arkhipov +2 more
2024PLoS Comput. Biol.4 citations Open access
Semantic Scholar
Competition between bottom-up visual input and internal inhibition generates error neurons in a model of the mouse primary visual cortex
J. G. Fraile, Franz Scherr, J. Ramasco, A. Arkhipov +2 more
2023bioRxiv4 citations Open access
Semantic Scholar
Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
Luke Y. Prince, Roy Henha Eyono, E. Boven, Arna Ghosh +8 more
2021Neurons, Behavior, Data analysis, and Theory4 citations Open access
Semantic Scholar
Revisiting the role of synaptic plasticity and network dynamics for fast learning in spiking neural networks
Anand Subramoney, G. Bellec, Franz Scherr, R. Legenstein +1 more
2021bioRxiv4 citations Open access
Semantic Scholar
for Neuromorphic Hardware
Franz Scherr, W. Maass
20213 citations
Semantic Scholar
Dimensionality and flexibility of learning in biological recurrent neural networks
B. Richards, C. Clopath, R. P. Costa, W. Maass +4 more
20203 citations
Semantic Scholar
Anatomical and neurophysiological data on primary visual cortex 1 suffice for reproducing brain-like robust multiplexing of visual 2 function
Guo-Zhang Chen, Franz Scherr, W. Maass
20222 citations
Semantic Scholar
Inhibition of Mg, Ca-ATPase from E. coli by Ruthenium Red
Franz Scherr, T. Günther
1978Zeitschrift fur Naturforschung. Section C, Biosciences2 citations Open access
Semantic Scholar
Data-based large-scale models provide a window into the organization of cortical computations
Guo-Zhang Chen, Franz Scherr, Wolfgang Maass
2023bioRxiv1 citations Open access
Semantic Scholar
Analysis of visual processing capabilities and neural coding
Guo-Zhang Chen, Franz Scherr, W. Maass
20211 citations
Semantic Scholar
Sparse cortical dynamics reveal flexible condition-dependent spike-order codes
Guo-Zhang Chen, Wolfgang Maass, Franz Scherr
2026bioRxiv0 citations Open access
Semantic Scholar
Task success in trained spiking neural network models coincides with emergence of cross-stimulus-modulated inhibition
Yuqing Zhu, Chadbourne M. B. Smith, Tarek Jabri, Mufeng Tang +2 more
2026Biological cybernetics0 citations Open access
Semantic Scholar
Correction: Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations
J. G. Fraile, Franz Scherr, J. Ramasco, A. Arkhipov +2 more
2026PLoS Comput. Biol.0 citations Open access
Semantic Scholar
PREDICTION ERROR COMPUTATION IN CORTICAL NEURONS VIA COMPETITION BETWEEN BOTTOM-UP VISUAL INPUT AND RECURRENT INHIBITION
J. G. Fraile, Franz Scherr, José Ramasco Sukia, A. Arkhipov +2 more
2023IBRO Neuroscience Reports0 citations Open access
Semantic Scholar
Task success in trained spiking neuronal network models coincides with emergence of cross-stimulus-modulated inhibition
Yuqing Zhu, Chadbourne M. B. Smith, Mufeng Tang, Franz Scherr +1 more
2023bioRxiv0 citations Open access
Semantic Scholar
Making neuromorphic the main stream of AI
Timoleon Moraitis, Qinghai Guo, Hector Garcia Rodriguez, Franz Scherr +4 more
2023Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems0 citations
Semantic Scholar
Analysis of visual processing capabilities and neural coding 1 strategies of a detailed model for laminar cortical microcircuits in 2 mouse V1
Guo-Zhang Chen, Franz Scherr, Wolfgang Maass
20220 citations
Semantic Scholar
Bestärkendes Lernen und Metalernen in neuronalen Netzwerken
Franz Scherr
2020Ausgezeichnete Informatikdissertationen0 citations
Semantic Scholar
Supplements for “One-shot learning with spiking neural networks”
Franz Scherr, Christoph Stöckl
20200 citations
Semantic Scholar
Supplementary materials for : A solution to the 1 learning dilemma for recurrent networks of spiking 2 neurons
G. Bellec, Franz Scherr, Anand Subramoney, Elias Hajek +3 more
20190 citations
Semantic Scholar
Dimensionality and flexibility of learning in biological recurrent neural networks
B. Richards, C. Clopath, Arna Ghosh, R. E. Mila +2 more
0 citations
Semantic Scholar

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