Neuromorphic computer supporting billions of neurons

Abstract

The present invention discloses a neuromorphic computer supporting billions of neurons, comprising hierarchical extended architecture and algorithmic process control within the architecture; the architecture comprises multiple neuromorphic computing chips with hierarchical organization management for implementing computing tasks, each containing computing neurons and synaptic resources and forming a neural network, spike events between computing neurons within the architecture are transmitted through a hierarchical transmission mode; the algorithmic process control comprises controlling parallel processing of computing tasks within the architecture, controlling management of synchronization time within the architecture, and controlling reconstruction of neural networks within the architecture to achieve fault tolerance and robust management of computing neurons and synaptic resources. The neuromorphic computer can support spiking neural network inference calculations with a neuron scale of billions.

Dependencies are inferred from the claim text.