Oscillations in an artificial neural network convert competing inputs into a temporal code
by Katharina Duecker, Marco Idiart, Marcel van Gerven, Ole Jensen
The field of computer vision has long drawn inspiration from neuroscientific studies of the human and non-human primate visual system. The development of convolutional neural networks (CNNs), for example, was informed by the properties of simple and complex cells in early visual cortex. However, the computational relevance of oscillatory dynamics experimentally observed in the visual system are typically not considered in artificial neural networks (ANNs). Читать дальше...
