Neural Networks: Hierarchical Models and Odor Taxis

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Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Explores the AdEx neuron model, analyzing firing patterns and phase planes.

Explores using deep learning models to understand the visual cortex and sensory portraits.

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.

Explores neural architectures for embodied AI, cognitive systems, and the integration of computing and robotics.

Explores computational models of the ventral visual system, focusing on optimizing networks for real-world tasks and comparing to brain data.

Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.

Explores a neural model, assemblies of neurons, language acquisition, and the future of neuromorphic intelligent systems.

Covers brain-computer interfaces and their impact on systems neuroscience and neuroprosthetics.