Three-factor rules: DeepRL1.5A

Related lectures (39)

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Explores stochastic synaptic transmission modeling, parameters, inhibitory effects, and synaptic reliability.

Explores the modeling of synaptic potentials and the factors influencing their amplitude.

Explores the structure and function of synapses, including neurotransmitter diversity and the role of AMPA and NMDA receptors.

Explores the engineering of neurons using light, chemicals, and sound to modulate neural activity and behavior.

Explores Rall's cable model, synaptic potential spread in dendrites, and compartmental modeling for neural simulations.

Introduces nerve cells' electrical activity, focusing on spikes and synaptic potentials.

Explores synaptic data analysis, mapping connections, and dynamics, emphasizing the variability in synaptic responses.

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

Explores cellular mechanisms of excitatory postsynaptic potentials, emphasizing synaptic summation for action potential threshold.

Explores the role of synapses in computational neuroscience and the models of excitatory and inhibitory synapses.

Demonstrates how to connect cells using chemical synapses and simulate their firing.

Explores the diffusive component of synaptic transmission and its impact on brain function.

Explores GABAergic inhibition, postsynaptic potentials, shunting inhibition, and target structures in the brain.

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