From Spiking Models to Rate Models

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Explores the Triplet STDP model in synaptic plasticity and learning.

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

Discusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.

Explores Spike-Timing Models of plasticity, including STDP and synaptic traces.

Covers synaptic plasticity, types of synapses, Hebb's postulate, LTP, LTD, and network oscillations in the hippocampus.

Explores synaptic plasticity, spike-timing models, and online memory learning challenges in computational neuroscience.

Explores short-term and long-term synaptic changes, Hebbian learning, and the role of neuromodulators.

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Explores compartmental models in computational neuroscience, focusing on active dendrites and experimental findings.

Covers sensory stimulation, learning, synaptic plasticity, and Hebb's postulate in neurorobotics.