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Covers sensory perception, presynaptic neuron mapping, dopamine neuron firing, reward-based learning, and Parkinson's disease.
Explores networks of spiking neurons, mean-field models, transfer functions, and predictions of state space and neuron behavior.
Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.
Delves into associative memory, Hebbian learning, and hierarchical organization in neural networks.
Explores the quality of Integrate-and-Fire models in computational neuroscience through comparisons with experimental data and mathematical predictions.
