Abstract
The Integrate and Fire (IF) neuron model wasusedto simulate ultra-slow oscillations that were observed in cortical cultures. Simulation of a network with 2 sub-networks is conducted in this study. We introduced an additional equation that governs the generation and dissipation of an inhibitory property to each of the sub-network.Sub-networks that fire at different rate are generated from the simulation. The network activity from the simulation oscillates at frequencies that are comparable to ultra-slow oscillations observed in cortical cultures.
Highlights
Oscillations play a crucial role in numerous processes of the nervous system
The Integrate and Fire (IF) neuron model wasusedto simulate ultra-slow oscillations that were observed in cortical cultures
We introduced an additional equation that governs the generation and dissipation of an inhibitory property to each of the sub-network.Sub-networks that fire at different rate are generated from the simulation
Summary
Oscillations play a crucial role in numerous processes of the nervous system. Oscillations in the form of electroencephalogram (EEG) are present in different brain structures, with frequencies ranging from 0.5 Hz (δ rhythm) to 40-80 Hz (γ rhythm), and even up to 200 Hz [1]. The ultra-slow oscillations were characterized by large synchronized bursts at the peaks and smaller bursts at the troughs. These activity patterns emerged in cultures after the fourth week in vitro. Heterogeneous networks consisting of inhibitory and excitatory neurons can exhibit a wide range of behavior depending on the parameters and inputs given to the network [11,12]. Activity patterns such as steady firing and bursting can be simulated by varying the network connectivity and fractions of endogenously active neurons [13,14]. The synchronized bursting events might be classified into several distinct types based on their spatiotemporal substructures [17]
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