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A Biophysical Network Model for Action Selection

Berat Denizdurduran1* and Neslihan S. Sengor2
  • 1 Istanbul Technical University, Electronics and Communication Engineering Department, Türkiye
  • 2 Istanbul Technical University, Electronics and Communication Engineering Department, Türkiye

The role of basal ganglia in action selection is well-known [1] and there are various neurocomputational models of action selection [2-4] where their interaction with thalamus and cortex is considered as pointed out in [5]. While these models are biologically plausible models, they are more focused on behavioral aspects of action selection and they deal with neural substrates at systems level rather than neuron level. Though they are effective, the biophysical models of thalama-cortical circuits are more informative in explaining the biological aspects of ongoing processes especially in Parkinson’s disease [6, 7]. In this work, a biophysical model for striato-thalama-cortical circuit is investigated for action selection. The activation at each neural substrate in the model is obtained and discussed. It is observed that the model is capable of generating bursting behavior and the disinhibition of thalamus by globus pallidus pars internus when an action is selected. The model is composed using both Hodgkin-Huxley and Izhikevich neuron models, in order to figure out the efficiency of these neuron models. Since the model is a nonlinear dynamical system, the analyses are carried out with XPPAUT and the effect of excitatory input is explained with bifurcation diagrams. Thus activation at striato-thalama-cortical circuit is explored using mathematical tools developed for nonlinear dynamical systems.

References

[1] Houk, J.C., Bastianen, C., Fansler, D., Fischbach, A., Frauser, D., Reber, P.J., Roy, S.A.,Simo, L.S.(2007). Action selection and refinement in subcortical loops through basal ganglia and cerebellum. Phil. Trans. R. Soc. B No. 362, 1573-1583.
[2] Gurney, K., Prescott, T.J., Redgrave, P.(2001). Computational Model of Action Selection in the Basal Ganglia I: A New Functional Anatomy. Biological Cybernetics, vol.84, 401-410.
[3] Taylor, J.G., Taylor, N.R.(2000). Analysis of Recurrent Cortico-Basal Ganglia-Thalamic Loops for Working Memory. Biological Cybernetics, vol.82, 415-432.
[4] Sengor, N.S., Karabacak, O., Steinmetz, U.(2008). A Computational Model of Cortico- Striato-Thalamic Circuits in Goal-Directed Behavior. LNCS 5163, Proceedings of ICANN, 328-337.
[5] Alexander, G. E., Crutcher, M. D., De Long, M. R.(1990). Basal ganglia-thalamocortical circuits: Parallel substrates for motor, oculomotor, “prefrontal” and “limbic” functions. Progress in Brain Research, 85, 119-146.
[6] Guthrie, M., Myers C.E., Gluck M.A.(2009). A neurocomputational model of tonic and phasic dopamine in action selection: A comparison with cognitive deficits in Parkinson’s disease. Behavioral Brain Research, vol. 200, Issue 1, 48-59.
[7] Guo, Y., Rubin, J.E.(2011).Multi-site stimulation of subthalamic nucleus diminishes thalamacortical relay errors in a biophysical network model. Neural Networks, 24(6), 602-16.

Keywords: action selection, Bifurcation Diagrams, neuron models, Nonlinear dynamical systems

Conference: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011.

Presentation Type: Poster

Topic: neurons, networks and dynamical systems (please use "neurons, networks and dynamical systems" as keywords)

Citation: Denizdurduran B and Sengor NS (2011). A Biophysical Network Model for Action Selection. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00159

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Received: 22 Aug 2011; Published Online: 04 Oct 2011.

* Correspondence: Mr. Berat Denizdurduran, Istanbul Technical University, Electronics and Communication Engineering Department, Istanbul, Türkiye, berat.denizdurduran@epfl.ch