IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks
The IBM Research – Zurich, scientists proposed a novel biologically-inspired optimizer for artificial and spiking neural networks that consolidate key standards of synaptic plasticity seen in cortical dendrites: GRAPES (Group Responsibility for Adjusting the Propagation of Error Signals). The findings pave the way for researchers to bridge the gap between backpropagation and biologically plausible learning…