- Poster presentation
- Open Access
Binding features by relaying modulator group of neurons
BMC Neuroscience volume 12, Article number: P7 (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.
In our experiments the Brian simulator  featuring a leaky integrate-and-fire neuron model is used and three main groups of excitatory neurons are formed. The first group is the modulator group (see Figure 1A Tc) which synchronizes activity of the next feature group (Py1) and the latter sends synaptic effects to the higher consolidating group (Py2). All the excitatory neurons are connected to a local inhibitory group (Re, In1, In2) and the feature neurons and consolidating neurons get pairwise additional inhibitory input (In3, In4). All the neurons receive Poissonian background input noise that causes averaged network activity in the frequency of 1 Hz. The neurons from modulator and feature groups get additional Poissonian input in a certain time frame and, during the simulations, activity switches from one pair of features to the other. As a result we could see the well synchronized activity of feature neurons could cause oscillating activity of neurons in the higher group (Figure 1).
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.
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.
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.
Buzsáki G: Rhythms of the Brain. 2006, New York: Oxford University Press
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.
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.
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.
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.
Supported by grant no. MJD22 financed with the support of the European Social Fund and by the ESF grant #8401.
About this article
Cite this article
Kirt, T., Bachmann, T. Binding features by relaying modulator group of neurons. BMC Neurosci 12, P7 (2011). https://0-doi-org.brum.beds.ac.uk/10.1186/1471-2202-12-S1-P7
- Modulator Group
- Excitatory Neuron
- Unify Object
- Neuron Group
- Synaptic Effect