Three-factor rules: DeepRL1.5A

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Synapses: Neuronal Dynamics

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

Computational Neuroscience: Biophysics

Covers modern neuroscience synthesis, biophysical modeling, and brain building blocks with practical applications.

Connecting cells

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

Synaptic Transmission: Diffusive Component

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

Inhibitory synaptic conductances

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

Building Physical Neural Networks

Discusses challenges in building physical neural networks, focusing on depth, connections, and trainability.

Neuromorphic Computing: Concepts and Hardware Implementations

Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.

Modeling Neuronal Activity

Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.

Scientific Computing in Neuroscience

Explores scientific computing in neuroscience, emphasizing the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN.