Unlocking the potential of two-point cells for energy-efficient training of deep nets. (arXiv:2211.01950v1 [cs.NE])

Context-sensitive two-point layer 5 pyramidal cells (L5PC) were discovered as
long ago as 1999. However, the potential of this discovery to provide useful
neural computation has yet to be demonstrated. Here we show for the first time
how a transformative L5PC-driven deep neural network (DNN), termed the
multisensory cooperative computing (MCC) architecture, can effectively process
large amounts of heterogeneous real-world audio-visual (AV) data, using far
less energy compared to best available `point' neuron-driven DNNs. A novel
highly-distributed parallel implementation on …

arxiv cells energy training