Binding features by relaying modulator group of neurons
© Kirt and Bachmann; licensee BioMed Central Ltd. 2011
Published: 18 July 2011
Simultaneous oscillation of neuron groups could provide solution to the binding problem  and simultaneously firing neurons could bind together different features of the same object. The corticothalamic system plays a key role in synchronizing the activity of thalamic and cortical neurons  and synchronized oscillations have important function in brain activities . It is shown that a relaying neuron group could cause zero time lag synchronization among distant neuron groups . As there are many fields representing different features then they compete with each other to become dominant; thus, Jörg Lücke  proposed that there might be multiple bifurcation points where the network tends to move towards a certain stable state. Such selection is achieved by the decision making processes , where a common group of inhibitory neurons inhibits activity of the to-be-loosing excitatory neuron group. Based on this we have built up an experimental setup where we used two pairs of exclusive features from two dimensions and tried to bind together one from each dimension as a unified object and cause activity of the higher level group of neurons.
There might be some number of basic mechanisms that are responsible for processing and forwarding information in the brain, including a variety of synchronizing mechanisms. In this experiment we have shown how synchronized oscillations of neurons and decision making processes can be used for binding and forwarding information between the neuron groups.
Supported by grant no. MJD22 financed with the support of the European Social Fund and by the ESF grant #8401.
- von Der Malsburg C: The correlation theory of brain function. Models of Neural Networks II: Temporal Aspects of Coding and Information Processing in Biological Systems. Edited by: Domany E, Leonard Hemmen J, Schulten K. 1994, Berlin/New York: Springer, 95-119.View ArticleGoogle Scholar
- Jones EG: Synchrony in the interconnected circuitry of the thalamus and cerebral cortex. Annals of the New York Academy of Sciences. 2009, 1157: 10-23. 10.1111/j.1749-6632.2009.04534.x.View ArticlePubMedGoogle Scholar
- Buzsáki G: Rhythms of the Brain. 2006, New York: Oxford University PressView ArticleGoogle Scholar
- Vicente R, Gollo LL, Mirasso CR, Fischer I, Pipa G: Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays. Proceedings of the National Academy of Sciences of the United States of America. 2008, 105: 17157-17162. 10.1073/pnas.0809353105.PubMed CentralView ArticlePubMedGoogle Scholar
- Lücke J: Receptive field self-organization in a model of the fine structure in v1 cortical columns. Neural computation. 2009, 21: 2805-2845. 10.1162/neco.2009.07-07-584.View ArticlePubMedGoogle Scholar
- Wong KF, Wang XJ: A recurrent network mechanism of time integration in perceptual decisions. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2006, 26: 1314-1328.View ArticleGoogle Scholar
- Goodman D, Brette R: Brian: a simulator for spiking neural networks in python. Frontiers in Neuroinformatics. 2008, 2: 1-10. 10.3389/neuro.11.005.2008.View ArticleGoogle Scholar
This article is published under license to 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.