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This lecture explores the concept of local field potentials (LFP) as a measure of population activity in neural networks. It delves into the relationship between LFP and oscillations, highlighting the nested nature of gamma and theta oscillations. The presentation covers the decomposition of LFP into sine and cosine components using Fourier transform, providing insights into different frequency contributions. Additionally, it discusses the role of theta oscillations in memory processes and the involvement of acetylcholine in generating theta rhythms. The lecture also touches upon the impact of computer simulations on neuroscience research, emphasizing the need for sustainable practices to balance scientific advancements with environmental concerns.