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.
It is well known that information is represented and transmitted among neuronal units by a series of all-or-none “neural codes”. In neuroinformatics study, this coding process, also termed as “spiking activity”, is not straightforward for prediction. It is owing to the high nonlinearity and dynamic property involved in generation of the neuronal spikes. In this paper, a novel generalized Volterra...
A new simulation scheme of the Digital Spiking Silicon Neuron (DSSN) model is proposed. This scheme is based on the reconfigurable dataflow computing paradigm and targets the Maxeler MaxWorkstation. Compared to the previous implementation of the DSSN network, the new scheme has the virtues of better flexibility and better programmability. More importantly, computing with dataflow cores takes good...
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.