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POSTER PRESENTATION

Open Access

Free concepts association: a neural model

Eleonora Russo

*

, Alessandro Treves

From Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Stockholm, Sweden. 23-28 July 2011

The investigation of complex cognitive functions can not leave aside the study of general collective behaviours generated by the presence of interacting units.

In this study we focus on the dynamics underlying a free association between two memories. At the compu-tational level this process can be viewed as a sponta-neous jump between attractive configurations of a Potts network, an autoassociative network sketching out the salient features of interacting patches of cortex. In the net each constitutive unit stands for a local patch of cortex. Thus, the connection of these units can be regarded as a global network of local subnetworks.

In the system the jump between two memories is eli-cited by an adaptive process, which weakens the stability of memories representation. The “latching process” so generated results a spontaneous consecutive retrieval of stored memories.

Acting on the parameters of the model (such the units connectivity, the number of stored memories, the noise) it is possible to explore a variety of behaviours that goes from a“finite latching” region, in which the system, gov-erned by its relaxation time and the global memories structure, allows only finite sequences of memories retrievals, to an “infinite latching” region, in which this jumping dynamics go on indefinitely.

Published: 18 July 2011

doi:10.1186/1471-2202-12-S1-P339

Cite this article as: Russo and Treves: Free concepts association: a neural model. BMC Neuroscience 2011 12(Suppl 1):P339.

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* Correspondence: russo@sissa.it

Cognitive Neusoscience Sector, SISSA, Trieste, 34136, Italy Russo and Treves BMC Neuroscience 2011, 12(Suppl 1):P339 http://www.biomedcentral.com/1471-2202/12/S1/P339

© 2011 Russo and Treves; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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