does striatum support competitive dynamics a test of this hypothesis using a biologically realistic model of the striatal microcircuit

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does striatum support competitive dynamics a test of this hypothesis using a biologically realistic model of the striatal microcircuit

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BMC Neuroscience BioMed Central Open Access Poster presentation Does striatum support competitive dynamics? A test of this hypothesis using a biologically realistic model of the striatal microcircuit Richard Wood*, Mark D Humphries and Kevin Gurney Address: Psychology Department, University of Sheffield, Sheffield, S10 2TP, UK Email: Richard Wood* - ric.wood@sheffield.ac.uk * Corresponding author from Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Berlin, Germany 18–23 July 2009 Published: 13 July 2009 BMC Neuroscience 2009, 10(Suppl 1):P317 doi:10.1186/1471-2202-10-S1-P317

Eighteenth Annual Computational Neuroscience Meeting: CNS*2009

Don H Johnson Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/pdf/1471-2202-10-S1-info.pdf This abstract is available from: http://www.biomedcentral.com/1471-2202/10/S1/P317 © 2009 Wood et al; licensee BioMed Central Ltd Introduction The striatum is the man input structure of the basal ganglia and consists principally of medium spiny neurons (MSNs) The remaining neurons comprise several species of interneuron, including the GABAergic fast spiking interneuron (FSIs) Both neuron species are highly interconnected (including a network of gap junctions between the FSIs) and both are modulated by dopamine Understanding this complex microcircuit is therefore very challenging Previous computational hypotheses have suggested that the inhibitory collaterals between MSNs lead to a strong competitive dynamic [1] In contrast, Koós and Tepper [2] suggest that feed-forward inhibition from the FSIs is the dominant force in the control of MSNs We have developed a detailed, biologically constrained model of the striatal microcircuit aimed at resolving these issues and discovering the computations performed in this critical brain area Methods The model incorporates dopamine modulated MSNs and FS interneurons, and we used a novel technique in computational anatomy to develop realistic connection statistics for all known pathways in this circuit The response of the model to realistic in vivo background input was analyzed using a novel multiple spike-train analysis technique to find groups of synchronized neurons (as observed experimentally) Predicated on the hypothesis that the basal ganglia is performing action selection, we then used these groups to define "channels" in a series of selection experiments We hypothesized that, if there were naturally emerging clusters of MSNs in the network, these might serve to compete well with each other We repeated these experiments with channels comprised of randomly selected neurons Results Using realistic parameter values for the input glutamatergic spike trains, and for the GABAergic and gap junction conductances, we found little evidence for selection in the model Removing the FSI input to the MS neurons also failed to reveal any competition via the MSN collaterals, suggesting that FSN input was not imposing another dynamic Varying the level of dopamine in the simulation also failed to show any significant change in the networks selective ability Increasing the conductance of the MSN collateral synapses by a factor of ten, however, did force the network to show signs of competition between competing channels No significant difference was observed when using channels of randomly selected neurons, compared to channels defined by the multiple spike-train analysis method We conclude that the striatum does not support competitive dynamics using the circuits comprising MSNs and FSIs within a range of realistic parameter settings Page of (page number not for citation purposes) BMC Neuroscience 2009, 10(Suppl 1):P317 http://www.biomedcentral.com/1471-2202/10/S1/P317 Acknowledgements This work was supported by EPSRC grant EP/C516303/1 and EU FP7 grant ICEA References Koós T, Tepper JM: Inhibitory control of neostriatal projection neurons by GABAergic interneurons Nat Neurosci 1999, 2:467-472 Wickens J: Basal ganglia: Structure and computations Network Computation in Neural Systems 1997, 8:77-109 Publish with Bio Med Central and every scientist can read your work free of charge "BioMed Central will be the most significant development for disseminating the results of biomedical researc h in our lifetime." Sir Paul Nurse, Cancer Research UK Your research papers will be: available free of charge to the entire biomedical community peer reviewed and published immediately upon acceptance cited in PubMed and archived on PubMed Central yours — you keep the copyright BioMedcentral Submit your manuscript here: http://www.biomedcentral.com/info/publishing_adv.asp Page of (page number not for citation purposes) ... Your research papers will be: available free of charge to the entire biomedical community peer reviewed and published immediately upon acceptance cited in PubMed and archived on PubMed Central yours... can read your work free of charge "BioMed Central will be the most significant development for disseminating the results of biomedical researc h in our lifetime." Sir Paul Nurse, Cancer Research... http://www.biomedcentral.com/1471-2202/10/S1/P317 Acknowledgements This work was supported by EPSRC grant EP/C516303/1 and EU FP7 grant ICEA References Koós T, Tepper JM: Inhibitory control of neostriatal projection

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