Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/150922
Title: | Event modeling of message interchange in stochastic neural ensembles |
Author: | Gómez, Vicenç ![]() Kaltenbrunner, Andreas ![]() Lopez, Vicente |
Citation: | Gomez, V. [Vicenç], Kaltenbrunner, A. [Andreas] and Lopez, V. [Vicente] (2006). Event modeling of message interchange in stochastic neural ensembles. The 2006 IEEE International Joint Conference on Neural Network Proceedings, Vancouver, BC, Canada, pp. 81-88, doi: 10.1109/IJCNN.2006.246663 |
Abstract: | We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the dynamics at the mesoscopic level (spike produc-tion and reception) and does not determine the microstates of the neurons. We apply the technique on a discrete model of stochastic ensembles and on extensions of this model to the continuous time domain. Due to the event-driven nature of the method efficient large-scale simulations can be performed without precision errors. The approach uses spike predictions as evidences and a one-step update of the predictions is performed every time an event occurs, resulting in a more efficient solution than the existing strategies. |
DOI: | https://doi.org/10.1109/IJCNN.2006.246663 |
Document type: | info:eu-repo/semantics/conferenceObject |
Version: | info:eu-repo/semantics/acceptedVersion |
Issue Date: | 30-Oct-2006 |
Appears in Collections: | Conferències |
Files in This Item:
File | Description | Size | Format | |
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Gomez_IEEE_IJCNNP_Event.pdf | 382,48 kB | Adobe PDF | ![]() View/Open |
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