The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The neuron machine (NM) is a hardwarearchitecture that can be used to design efficient neural networksimulation systems. However, owing to its intrinsicunidirectional nature, NM architecture does not supportbackpropagation (BP) learning algorithms. This paperproposes novel schemes for NM architecture to support BPalgorithms. Reverse-mapping memories, synapse placementalgorithm, and a memory structure...
The neuron machine (NM) is a synchronous neurocomputing architecture that can be used to design efficient large-scale neural network simulation systems. However the NM architecture has a limitation that it cannot support complex computations such as those for spiking neural network (SNN) models. In this paper, we review the NM architecture and propose an extension of it to support neural network models...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.