55 citations · 166 across the 12 of their papers we have counts for
13 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…
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik, Korneel Van den Berghe, Douwe den Blanken +97
Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research fiel…
Learning efficient backprojections across cortical hierarchies in real time
Kevin Max, Laura Kriener, Garibaldi Pineda García +4
Models of sensory processing and learning in the cortex need to efficiently assign credit to synapses in all areas. In deep learning, a known solution is error backpropagation, whi…
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Thomas Nowotny, James P. Turner, James C. Knight
Event-based machine learning promises more energy-efficient AI on future neuromorphic hardware. Here, we investigate how the recently discovered Eventprop algorithm for gradient de…
Scalability and Optimization Strategies for GPU Enhanced Neural Networks (GeNN)
Naresh Balaji, Esin Yavuz, Thomas Nowotny
Simulation of spiking neural networks has been traditionally done on high-performance supercomputers or large-scale clusters. Utilizing the parallel nature of neural network comput…
ICT System Design & Implementation Using Wireless Sensors to Support Elderly In-home Assistance
Thomas J. Lampoltshammer, Thomas Nowotny, Stefan Plank
Around the globe the number of older people in relation to the rest is constantly growing. As a result, medical and care facilities cannot handle the growing number of patients. Th…