ERC Consolidator Grant · 2016
Neuromorphic Electronic Agents: from sensory processing to autonomous cognitive behavior
Neural networks and deep learning algorithms are currently achieving impressive state-of-the-art results. In parallel computational neuroscience has made tremendous progress with both theories of neural computation and with hardware implementations of dedicated brain-inspired computing platforms. However, despite this remarkable progress, today’s artificial systems are still not able to compete with biological ones in tasks that involve processing of sensory data acquired in real-time, in complex and uncertain settings. One of the reasons is that neural computation in biological systems is very different from the way today's computers operate: it is tightly linked to the properties of their…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.