Poster session at Computational NeuroScience Conference in 2020 - An integrate-and-fire model of narrow band modulation in mouse visual cortex

BMC Neuroscience 2020, 21(Suppl 1):P128 An integrate‑and‑fre model of narrow band modulation in mouse visual cortex Gamma band neuronal oscillations are involved with sensory processing ubiquitously in the central nervous system. They emerge from the coordinated interaction of excitation and inhibition and are a biological marker of local active network computations [1]. Visual features as contrast and orientation are known to modulate broad band gamma activity in the primary visual cortex (V1) of primates [2]. In mouse V1, however, a narrow band within gamma oscillation was found to display specifc functional sensitivity to visual features [3]. Here we present a network of recurrent excitatory-inhibitory spiking neurons reproducing the gamma narrow band dynamics in mouse V1 observed in [3], building on previous works of our group [4,5]. By combining experimental data analysis and simulations, we show that a proper design of the simulated thalamic input results in the network to exhibit both narrow and broad band gamma activity. We reproduced the spectral and temporal modulations of V1 local feld potentials of awake mice presented with gratings of different contrast levels by approximating the thalamic input rate with two linear functions defned over complementary contrast ranges. We propose a theoretical framework in which the external thalamic drive is responsible for inducing the emergence of broad by triggering cortical resonances and narrow band gamma activity by inducing entrainment to an oscillatory drive. Our results support in particular the hypothesis of a subcortical origin of the narrow gamma band [3]. Our network provides a simple and effective model of contrastinduced gamma activity in rodents V1. The model could be easily extended to reproduce the modulation of V1 gamma activity induced by other visual stimulus features. Moreover, the model could help to investigate network dynamics responsible for pathological dysfunctions of physiological visual information processing in mice. References 1. Buzsáki G, Wang XJ. Mechanisms of gamma oscillations. Annual Review of Neuroscience. 2012; 35: 203-25. 2. Henrie JA, Shapley R. LFP power spectra in V1 cortex: the graded efect of stimulus contrast. Journal of Neurophysiology. 2005; 94(1): 479-90. 3. Saleem AB, et al. Subcortical source and modulation of the narrowband gamma oscillation in mouse visual cortex. Neuron. 2017; 93(2): 315-22. 4. Mazzoni A, Brunel N, Cavallari S, Logothetis NK, Panzeri S. Cortical dynamics during naturalistic sensory stimulations: experiments and models. Journal of Physiology-Paris. 2011; 105(1-3): 2-15. 5. Mazzoni A, Linden H, Cuntz H, Lansner A, Panzeri S, Einevoll GT. Computing the local feld potential (LFP) from integrate-and-fre network models. PLoS Computational Biology. 2015; 11(12): e1004584.