Three definitions of rate code

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Explores the Leaky Integrate-and-Fire Model in computational neuroscience, emphasizing single neuron dynamics.

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

Explores neural signal recording methods using various electrode types for in-vivo and in-vitro studies.

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Explores the biophysical understanding of neuronal behavior, focusing on action potentials, neuron modeling challenges, and dendritic inhibition.

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

Discusses the sources of neural variability and the reliability of spike timing.

Explores networks of spiking neurons, mean-field models, transfer functions, and predictions of state space and neuron behavior.

Covers the transition from spiking models to rate models in computational neuroscience.

Explores various electrode types for neural signal recording and their applications in in-vivo and in-vitro settings.