Franz Scherr

Fast learning without synaptic plasticity in spiking neural networks

Competition between bottom-up visual input and internal inhibition generates error neurons in a model of the mouse primary visual cortex

Task success in trained spiking neuronal network models coincides with emergence of cross-stimulus-modulated inhibition

Prediction Error Computation in Cortical Neurons via Competition between Bottom-Up Visual Input and Recurrent Inhibition

Data-based large-scale models provide a window into the organization of cortical computations

A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing

Self-supervised learning through efference copies

2022 roadmap on neuromorphic computing and engineering