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Papers matching “biologically inspired learning” 36

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Training Spiking Neural Networks Using Lessons From Deep Learning
2023 Proceedings of the IEEE article Engineering Advanced Memory and Neural Computing Open access

Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, +3 more

787

citations
Predictive Coding Networks and Inference Learning: Tutorial and Survey
2026 ACM Computing Surveys article Computer Science Neural Networks and Applications Open access

B.H. van Zwol, Ro Jefferson, Egon L. van den Broek

1

citations
Learning sequence timing and control of replay speed in networks of spiking neurons
2026 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access

Melissa Lober, Younes Bouhadjar, Markus Diesmann, Tom Tetzlaff

0

citations
Enhancing artificial vision by integrating machine learning in retinal prosthetics
2025 RWTH Publications (RWTH Aachen) dissertation Neuroscience Neuroscience and Neural Engineering Open access

Yuli Wu

0

citations
A biologically plausible recurrent spiking architecture for modeling nonlinear dynamic mechanical systems
2026 Computer Methods in Applied Mechanics and Engineering article Engineering Advanced Memory and Neural Computing Open access

Vaishnav Bhaskaran, Saurabh Balkrishna Tandale, Vasileios Polydoras, Agnes Korcsak-Gorzo, Abigail Morrison, Markus Diesmann, +1 more

1

citations
Bio-inspired control of automated stem cell production
2020 Procedia CIRP article Computer Science Reinforcement Learning in Robotics Open access

Péter Egri, Balázs Csanád Csáji, Krisztián Balázs Kis, László Monostori, József Váncza, Jelena Ochs, +6 more

12

citations
On the use of evolutionary-algorithm-driven reinforcement learning in underwater robotics
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Underwater Vehicles and Communication Systems Open access

Cagatay Sariman

0

citations
System model of neuromorphic sequence learning on a memristive crossbar array
2023 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Sebastian Siegel, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser, Regina Dittmann, Dirk J. Wouters

3

citations
Functions of spiking neural networks constrained by biology
2025 RWTH Publications (RWTH Aachen) book Engineering Advanced Memory and Neural Computing Open access

Agnes Korcsak-Gorzo

0

citations
Demonstration of neuromorphic sequence learning on a memristive array
2023 conference-paper Engineering Advanced Memory and Neural Computing Open access

Sebastian Siegel, Tobias Ziegler, Younes Bouhadjar, Tom Tetzlaff, Rainer M. Waser, Regina Dittmann, +1 more

6

citations
Sequence learning in a spiking neuronal network with memristive synapses
2023 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters

4

citations
Sequence learning in a spiking neuronal network with memristive synapses
2022 JuSER (Forschungszentrum Jülich) article Engineering Advanced Memory and Neural Computing Open access

Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer M. Waser, Dirk J. Wouters

0

citations
NoisyDECOLLE: Robust Local Learning for SNNs on Neuromorphic Hardware
2023 International Conference on Machine Learning and Applications conference-paper Engineering Advanced Memory and Neural Computing

Tim Stadtmann, Benedikt Wahl, Tobias Gemmeke

4

citations
Event-driven eligibility propagation in large sparse networks
2026 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Agnes Korcsak-Gorzo, Jesús A. Espinoza-Valverde, Jonas Stapmanns, Hans Ekkehard Pleßer, David Dahmen, Matthias Bolten, +2 more

1

citations
Deep-learning based representation and recognition for genome variants—from SNVs to structural variants
2024 National Science Review article Biochemistry, Genetics and Molecular Biology Genomics and Phylogenetic Studies Open access cited by 1 patent

Songbo Wang, Kai Ye

7

citations
Statistical temporal pattern extraction by neuronal architecture
2023 Physical Review Research article Computer Science Neural Networks and Applications Open access

Sandra Nestler, Moritz Helias, Matthieu Gilson

1

citations
$μ$PC: Scaling Predictive Coding to 100+ Layer Networks
2025 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Francesco Innocenti, El Mehdi Achour, Christopher L. Buckley

0

citations
Spiking neural networks compensate for weight drift in organic neuromorphic device networks
2023 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Daniel Felder, John Linkhorst, Matthias Weßling

4

citations
Coherent noise enables probabilistic sequence replay in spiking neuronal networks
2023 PLoS Computational Biology article Neuroscience Neural dynamics and brain function Open access

Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff

4

citations
Towards Greater Collaboration in Educational Neuroscience: Perspectives From the 2018 Earli‐SIG22 Conference
2020 Mind Brain and Education article Neuroscience Neuroscience, Education and Cognitive Function Open access

Nienke van Atteveldt, Sabine Peters, Bert De Smedt, Iroise Dumontheil

4

citations
Live(r) and Let Live: Combining AI and Citizen Science in Hepatology
2025 Zeitschrift für Gastroenterologie conference-paper Medicine Liver Disease Diagnosis and Treatment

Benjamin P. M. Laevens, Niharika Jakhar, Paul‐Henry Koop, Yuanyuan Liu, Felix van Haag, Kai Markus Schneider, +2 more

0

citations
neuroAIx: FPGA Cluster for Reproducible and Accelerated Neuroscience Simulations of SNNs
2023 IEEE Nordic Circuits and Systems Conference (NorCAS) conference-paper Engineering Advanced Memory and Neural Computing

Kevin Kauth, Tim Stadtmann, Vida Sobhani, Tobias Gemmeke

8

citations
Tailor-made synaptic dynamics based on memristive devices
2023 Frontiers in Electronic Materials article Engineering Advanced Memory and Neural Computing Open access

Christopher Bengel, Kaihua Zhang, Johannes Mohr, Tobias Ziegler, Stefan Wiefels, Rainer M. Waser, +2 more

13

citations
Simulating Self-Discharge of Organic Neuromorphic Devices in Spiking Neural Networks
2023 Neuronics Conference conference-paper Engineering Advanced Memory and Neural Computing

Daniel Felder, John Linkhorst, Matthias Weßling

0

citations
From neuromorphic to neurohybrid: transition from the emulation to the integration of neuronal networks
2023 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Ugo Bruno, Anna Mariano, Daniela Rana, Tobias Gemmeke, Simon Musall, Francesca Santoro

22

citations