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Three-factor rules: DeepRL1.5A
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Related lectures (32)
Understanding Synaptic Transmission
Explores synaptic transmission, neurotransmitters, and neural plasticity principles.
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Compares electrical and chemical synapses, emphasizing their properties and behavior, including the neuromuscular junction and synapses in the CNS.
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Explores the modeling of synaptic potentials and the factors influencing their amplitude.
Modeling synaptic transmission: Stochastic Dynamics
Explores stochastic synaptic transmission modeling, parameters, inhibitory effects, and synaptic reliability.
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Synaptic transmission: Structure and Mechanisms
Explores the structure and function of synapses, including neurotransmitter diversity and the role of AMPA and NMDA receptors.
Synaptic Transmission: Electrical vs. Chemical
Explores the differences between electrical and chemical synapses, synaptic plasticity, and receptor behavior.
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Network Simulation and Activity Dynamics
Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.
Neural System Organization
Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.
Engineering Neurons: Optogenetics
Explores the engineering of neurons using light, chemicals, and sound to modulate neural activity and behavior.
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Rall's Cable Model
Explores Rall's cable model, synaptic potential spread in dendrites, and compartmental modeling for neural simulations.
Biophysical Understanding of Neuronal Electrical Behavior
Explores the biophysical understanding of neuronal electrical behavior, including challenges in modeling neurons, the generation of action potentials, and the impact of dendritic structure on firing patterns.
Introduction into the module
Introduces nerve cells' electrical activity, focusing on spikes and synaptic potentials.
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Synapses: Structure and Dynamics
Explores synaptic data analysis, mapping connections, and dynamics, emphasizing the variability in synaptic responses.
Scientific Computing in Neuroscience
Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.
Postsynaptic Potentials: Cellular Mechanisms
Explores cellular mechanisms of excitatory postsynaptic potentials, emphasizing synaptic summation for action potential threshold.
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