Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Neural oscillations occur within a wide frequency range with different brain regions exhibiting resonance-like characteristics at specific points in the spectrum. At the microscopic scale, single neurons possess intrinsic oscillatory properties, such that is not yet known whether cortical resonance is consequential to neural oscillations or an emergent property of the networks that interconnect them. Using a network model of loosely-coupled Wilson-Cowan oscillators to simulate a patch of cortical sheet,  demonstrate that the size of the activated network is inversely related to its resonance frequency. Further analysis of the parameter space indicated that the number of excitatory and inhibitory connections, as ll as the average transmission delay beten units, determined the resonance frequency. The model predicted that if an activated network within the visual cortex increased in size, the resonance frequency of the network would decrease.  tested this prediction experimentally using the steady-state visual evoked potential where  stimulated the visual cortex with different size stimuli at a range of driving frequencies.  demonstrate that the frequency corresponding to peak steady-state response inversely correlated with the size of the network.  conclude that although individual neurons possess resonance properties, oscillatory activity at the macroscopic level is strongly influenced by network interactions, and that the steady-state response can be used to investigate functional networks.
['Caroline A. Lea-Carnall', 'Marcelo A. Montemurro', 'Nelson J. Trujillo-Barreto', 'Laura M. Parkes', 'Wael El-Deredy']
I am writing a research paper on a idea Cortical Resonance Frequencies Emerge from Network Size and Connectivity
[{"from": "human", "value": "I am writing a research paper on a idea Cortical Resonance Frequencies Emerge from Network Size and Connectivity"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Neural oscillations occur within a wide frequency range with different brain regions exhibiting resonance-like characteristics at specific points in the spectrum. At the microscopic scale, single neurons possess intrinsic oscillatory properties, such that is not yet known whether cortical resonance is consequential to neural oscillations or an emergent property of the networks that interconnect them. Using a network model of loosely-coupled Wilson-Cowan oscillators to simulate a patch of cortical sheet,  demonstrate that the size of the activated network is inversely related to its resonance frequency. Further analysis of the parameter space indicated that the number of excitatory and inhibitory connections, as ll as the average transmission delay beten units, determined the resonance frequency. The model predicted that if an activated network within the visual cortex increased in size, the resonance frequency of the network would decrease.  tested this prediction experimentally using the steady-state visual evoked potential where  stimulated the visual cortex with different size stimuli at a range of driving frequencies.  demonstrate that the frequency corresponding to peak steady-state response inversely correlated with the size of the network.  conclude that although individual neurons possess resonance properties, oscillatory activity at the macroscopic level is strongly influenced by network interactions, and that the steady-state response can be used to investigate functional networks."}]