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Explores the evolution and frequency analysis of Operational Transconductance Amplifiers, including stability considerations and the impact of feedback.
Explores neuron classification in in silico neuroscience, emphasizing challenges in reconstructing neuronal morphologies and the importance of accurate classifications.
Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.
