Synaptic plasticity has long been thought to be key to learning in both biological neural networks and artificial neural networks. There are a wide array of plasticity rules in biological neural systems, but neuromorphic computing has mainly focused ...
The need for energy-efficient solutions in Deep Neural Network (DNN) applications has led to a growing interest in Spiking Neural Networks (SNNs) implemented in neuromorphic hardware. The Burstprop algorithm enables online and local learning in ...
The application of biologically inspired methods in design and control has a long tradition in robotics. Unlike previous approaches in this direction, the emerging field of neurorobotics not only mimics biological mechanisms at a relatively high level ...
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