Event Abstract Back to Event Neural mechanisms of competitive interaction in recurrent maps of a visual pathway Dihui Lai1 and Ralf Wessel1* 1 Washington University, Department of Physics and Biocenter Oulu,, United States Visual scenes typically contain multiple objects. Because of the retinotopic organization of the early visual system, objects at different locations are represented by neural populations with partial or complete spatial separation. The competitive interaction between the populations allows the organism to shift activity, and thus attention, towards relevant locations. Although phenomenological models of shifts in spatial attention succeed to reproduce many observations, a mechanistic understanding of how these spatial shifts in activity are achieved at the circuit level is still lacking. To fill this gap, we investigated the dynamics of the avian isthmotectal system. This model preparation was chosen, because oscillatory bursts in response to visual stimuli, shifts in activity to novel visual stimuli, and winner-take-all representation of stronger visual stimuli have been demonstrated and quantified in the isthmotectal system of pigeon and owl. Furthermore, because of its anatomically well-characterized circuitry, the avian nucleus isthmi (parabigeminal nucleus in mammals) and the optic tectum (superior colliculus in mammals) are ideally suited for an investigation of the mechanisms of competitive interaction at the circuit level. A key anatomical feature of the isthmotectal system is that local (cholinergic Ipc neurons) and more global (GABAergic Imc neurons) topographic visual information is superimposed. To gain insight into the dynamics of competitive interaction in the avian isthmotectal system, we designed a model network of 1200 leaky integrate-and-fire neurons with spike-rate adaptation. The connectivity of this model network is constrained by anatomical information. The cellular properties of the three model neuron types are constrained by electrophysiological data from chick midbrain slice experiments. Simulations of the experimentally constrained model network reproduce the three in vivo observations: (i) the oscillatory bursts during visual stimulation, (ii) the shift in activity to novel stimuli even when the old stimulus remains present, and (iii) the disproportional high responses to the larger of two stimuli in a winner-take-all manner. Further, changing the model parameters, we found that spike rate adaptation is crucial for the network ability to be sensitive to novel stimuli, even when the novel stimulus is weaker than the existing stimulus. Without spike rate adaptation the circuit reduces to a winner-take-all network, where the competitive interaction is mediated by the recurrent lateral inhibition. In conclusion, this computational analysis reveals how the combination of network architecture, fast synaptic inhibition, and slow cellular spike-rate adaptation mediates the competitive interaction of spatially-separate neural populations. More generally, this investigation provides insight into how the coordinated activity of competing populations of neurons represents spatiotemporal stimuli. Conference: Computational and Systems Neuroscience 2010, Salt Lake City, UT, United States, 25 Feb - 2 Mar, 2010. Presentation Type: Poster Presentation Topic: Poster session II Citation: Lai D and Wessel R (2010). Neural mechanisms of competitive interaction in recurrent maps of a visual pathway. Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00087 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 20 Feb 2010; Published Online: 20 Feb 2010. * Correspondence: Ralf Wessel, Washington University, Department of Physics and Biocenter Oulu,, St Louis, United States, rw@physics.wustl.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. 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