Fault tolerance in classical computing has traditionally relied on static strategies like hardware redundancy and error-correcting codes. Biological systems, in contrast, exhibit adaptive plasticity, ...

Extending the Neural Cellular Automata paradigm from pattern formation on grids to functional logic generation and self-repair on arbitrary graphs.

Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/

Spiking Neural networks as Universal Function Approximators

This form collects valuable information from the Neuromorphic Community as part of a project led by Matteo Saponati, Laura Kriener, Sebastian Billaudelle, Filippo Moro, and Melika Payvand. The goal is...

Nature - Approaches for the development of future at-scale neuromorphic systems based on principles of biointelligence are described, along with potential applications of scalable neuromorphic...

The extent to which structural modularity in neural networks ensures functional specialization remains unclear. Here the authors show that specialization can emerge in neural modules placed under reso...