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Data
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Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)
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Pablo Martinez-Cañada
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Network model that includes biophysically detailed, single-compartment and multicompartment neuron models of relay-cells and interneurons in the dLGN and a population of orientation-selective layer 6 simple cells, consisting of pyramidal cells (PY). We have considered two different arrangements of synaptic feedback from the ON and OFF zones in the visual cortex to the dLGN: phase-reversed (‘push-pull’) and phase-matched (‘push-push’), as well as different spatial extents of the corticothalamic projection pattern. This project is the result of a research work and its associated publication is: (Martínez-Cañada et al 2018).
Installation instructions as well as the latest version can be found in the Github repository: https://github.com/CINPLA/biophysical_thalamocortical_system
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Martínez-Cañada P, Mobarhan MH, Halnes G, Fyhn M, Morillas C, Pelayo F, Einevoll GT (2018) Show
Other
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Martínez-Cañada, Pablo [pablomc at ugr.es] Show
Other
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pablomc@ugr.es
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Martinez-Cañada, P., Mobarhan, M. H., Halnes, G., Fyhn, M., Morillas, C., Pelayo, F., & Einevoll, G. T. (2018). Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells. PLoS computational biology, 14(1), e1005930.
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