BACK PROPAGATION GATES AND STORAGE CAPACITOR FOR NEURAL NETWORKS

Technical solutions are described for implementing a neural network. An example system includes a crosspoint array including a plurality of nodes, each node representing a weight assigned to a neuron of the neural network. The system also includes a capacitor associated with a set of nodes from the plurality of nodes, where the capacitor is configured to store a current value corresponding to a sum of outputs from each respective node from the set of nodes. The system also includes a clocking circuit that initiates a forward pass to propagate the current value stored in the capacitor to a subsequent layer of the neural network. The clocking circuit further initiates a backward pass to propagate the current value stored in the capacitor to a preceding layer of the neural network. The clocking circuit further initiates a weight-update pass to update the weights in the neural network.