Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements

2 code implementations • 12 Apr 2024 • Robin Weiler, Matthias Brucklacher, Cyriel M. A. Pennartz, Sander M. Bohté

To make sense of their surroundings, intelligent systems must transform complex sensory inputs to structured codes that are reduced to task-relevant information such as object category.

Data Augmentation Representation Learning +1

Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks

1 code implementation • 24 May 2020 • Bojian Yin, Federico Corradi, Sander M. Bohté

The emergence of brain-inspired neuromorphic computing as a paradigm for edge AI is motivating the search for high-performance and efficient spiking neural networks to run on this hardware.