ePoster · Computational Neuroscience
On The Role Of Temporal Hierarchy In Spiking Neural Networks
Filippo Moro, Pau Aceituno, Melika Payvand · Bernstein Conference 2024
A recent trend in Computational Neuroscience is highlighting the beneficial role of heterogeneity of time constant in spiking neural networks (SNNs) [1, 2]. These findings suggest that heterogeneity, i.e. neuronal variability, should be embraced and leveraged to improve the performance of event-based computation. At the same time, Machine Learning teaches us that Neural Networks are surprisingly capable of representing abstract projections of input data, creating a hierarchy of representation in successive neural network layers. This is why Neural Networks have become much more complex, especi