Deep oscillatory neural network.

ABSTRACT: We propose the Deep Oscillatory Neural Network (DONN), a brain-inspired network architecture that incorporates oscillatory dynamics into learning. Unlike conventional neural networks with static internal states, DONN neurons exhibit brain-like oscillatory activity through neural Hopf oscillators operating in the complex domain. The network combines neural oscillators with traditional sigmoid and ReLU neurons, all employing complex-valued weights and activations. Input signals can be presented to oscillators in three modes: resonator, amplitude modulation, and frequency modulation. Training uses complex backpropagation to minimize the output error. We extend this approach to convolutional architectures, creating Oscillatory Convolutional Neural Networks (OCNNs). Evaluation on benchmark sign

SUBMITTER: Rohan NR 

PROVIDER: S-EPMC12635241 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature