Network dynamic regime controls the structure of the V1 extra-classical receptive field

Abstract

Event Abstract Back to Event Network dynamic regime controls the structure of the V1 extra-classical receptive field Daniel B. Rubin1* and Kenneth D. Miller2 1 Columbia University, Department of Neurosciences, United States 2 Columbia University, United States Recent work has shown that the V1 extra-classical receptive field (eCRF or "surround"), the region that surrounds the classical receptive field (CRF or "center") and exerts a subthreshold influence over the response to stimuli, has a well-defined spatial structure (Tanaka and Ohzawa 2009). To map out the spatial structure of the CRF and eCRF, these authors presented a large grating of the CRF’s preferred spatial frequency (SF) and orientation (ORI), and superimposed a periodic contrast modulation. They studied the dependence of the cell’s response to the modulation SF and ORI, and found that the combined CRF and eCRF typically resembled a large simple cell, with a preferred modulation ORI unrelated to the preferred luminance ORI of the CRF and a preferred modulation SF about 2-6 times lower than the preferred luminance SF of the CRF. We have previously shown (Ozeki et al. 2009) that surround suppression in V1 is a "de-amplification" rather than an inhibition - a lowering of the gain in a network with strong, destabilizing recurrent excitation stabilized by strong feedback inhibition (we term this an "inhibition-stabilized network" or ISN). Here we show that such a network, along with spatial connectivity typical of cortex, creates inhibitory activity that is periodic over retinotopic space. This network "resonates" over a narrow range of spatial frequencies, resulting in the observed tuning for modulation SF. We study a linear firing-rate-model of V1 comprised of recurrently connected excitatory and inhibitory neuronal populations positioned on an array of retinotopic space. As in cortical networks, inhibitory connections are localized while excitatory connections are longer range. Using analytic and numeric modeling, we find that in order for inhibitory firing rates in a generic network with non-periodic connectivity to oscillate as a function of space, several requirements must be met. In particular, the network must be an ISN. Only in the ISN regime are both excitatory and inhibitory neurons tuned for a nonzero modulation SF of a contrast-modulated grating. The preferred modulation frequency is controlled by the spatial extents of the different synaptic connections (E–>E, E–>I, I–>E, I–>I). Using estimates of the extent of the lateral connections in layer II/III of cat V1, we observe preferred SF’s matching closely those recorded experimentally; we also show more generally that the preferred modulation SF will be several times lower than the CRF preferred luminance SF, as observed. Lastly, once the nonlinearity of cortical networks is considered, dynamic regime (ISN or non-ISN) becomes an activity-dependent feature that changes with input strength; different contrasts drive the network into different dynamic regimes. This input-driven shift in network regime may underlie a number of contrast-dependent properties of the eCRF. In particular, this mechanism can explain the reduction in summation field size and the emergence of spatially-periodic length-tuning curves of firing rate and inhibitory conductance (Anderson et al. 2001) with increasing stimulus contrast. 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: Rubin DB and Miller KD (2010). Network dynamic regime controls the structure of the V1 extra-classical receptive field. Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience 2010. doi: 10.3389/conf.fnins.2010.03.00330 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: 08 Mar 2010; Published Online: 08 Mar 2010. * Correspondence: Daniel B Rubin, Columbia University, Department of Neurosciences, New York, United States, dbr2107@columbia.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Daniel B Rubin Kenneth D Miller Google Daniel B Rubin Kenneth D Miller Google Scholar Daniel B Rubin Kenneth D Miller PubMed Daniel B Rubin Kenneth D Miller Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.