Embodied Neuromorphic Vision with Event-Driven Random Backpropagation

Understand

Spike-based communication between biological neurons is sparse and unreliable.

• This enables the brain to process visual information from the eyes efficiently.
• Taking inspiration from biology, artificial spiking neural networks coupled with silicon retinas attempt to model these computations.
• Recent findings in machine learning allowed the derivation of a family of powerful synaptic plasticity rules approximating backpropagation for spiking networks.