7 citations · 7 across the 5 of their papers we have counts for
6 papers
Rewiring of adult neural networks - learning from structural plasticity across multiple scales
Michael Fauth, Han Lu, Jannik Luboeinski +36
Synaptic connections are continuously formed and eliminated even in adult neuronal networks. This process - called structural plasticity - allows networks to change their topology…
Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints
Patrick Inoue, Florian Röhrbein, Andreas Knoblauch
Introduction: Biological systems face anatomical and metabolic constraints, including costly synaptic maintenance and limited connectivity. These constraints favor neural codes tha…
Guiding Sparse Neural Networks with Neurobiological Principles to Elicit Biologically Plausible Representations
Patrick Inoue, Florian Röhrbein, Andreas Knoblauch
While deep neural networks (DNNs) have achieved remarkable performance in tasks such as image recognition, they often struggle with generalization, learning from few examples, and…
Energy-Efficient Information Representation in MNIST Classification Using Biologically Inspired Learning
Patrick Stricker, Florian Röhrbein, Andreas Knoblauch
Efficient representation learning is essential for optimal information storage and classification. However, it is frequently overlooked in artificial neural networks (ANNs). This n…
PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds
Haotian Liu, Sanqing Qu, Fan Lu +4
Event cameras can record scene dynamics with high temporal resolution, providing rich scene details for monocular depth estimation (MDE) even at low-level illumination. Therefore,…
Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach
Elie Aljalbout, Florian Walter, Florian Röhrbein +1
Legged locomotion is a challenging task in the field of robotics but a rather simple one in nature. This motivates the use of biological methodologies as solutions to this problem.…