Continual learning at the edge is an aspirational goal of AI technologies. Neuromorphic hardware that implements large Spiking Neural Networks (SNN) is particularly attractive in this regard, thanks to its inherently local computational paradigm and its potential compatibility with future and emerging computing devices.
This talk will first overview of current methods for learning in SNN...
Understanding neural bases of behaviors is fundamental in neuroscience, particularly for brain diseases/disorders. Data-driven models of brain circuits are being developed to simulate neural activity and the resulting behaviors. Applying localized lesions models, it is possible to study in silico altered neural activity and behaviors, providing insights into neural bases of pathological...
Did you start off as a researcher and now spend time developing software to progress your research? Or maybe you started off from a more conventional software-development background and are drawn to research by the challenge of using software to further research?
A growing number of people in academia combine expertise in programming with an intricate understanding of research, all while...
