Franz Scherr
Graz University of Technology(AT)Robotics Research (United States)(US)
Publications by Year
Research Areas
Neural dynamics and brain function, Advanced Memory and Neural Computing, Neural Networks and Applications, Neural Networks and Reservoir Computing, Ferroelectric and Negative Capacitance Devices
Most-Cited Works
- → A solution to the learning dilemma for recurrent networks of spiking neurons(2020)472 cited
- → Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets(2019)77 cited
- → Visualizing a joint future of neuroscience and neuromorphic engineering(2021)67 cited
- → Neuromorphic Hardware Learns to Learn(2019)54 cited
- → A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing(2022)52 cited
- → Reservoirs Learn to Learn(2021)23 cited
- → One-shot learning with spiking neural networks(2020)18 cited
- → Fast learning without synaptic plasticity in spiking neural networks(2024)9 cited
- Eligibility traces provide a data-inspired alternative to backpropagation through time(2019)