Blue Brain: Neocortical Microcircuitry

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Related lectures (32)

Introduction into the module

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

Engineering Neurons: Light, Chemicals, Sound

Explores optogenetics, chemogenetics, and sonogenetics to engineer neural activity using light, chemicals, and sound.

Neural Signals and Signal Processing

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.

Rall's Cable Model

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

Compartmental Models: Active Dendrites

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

Neural Signals and Signal Processing

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Dynamical modeling, decoding, and control of multiscale brain network activity

Explores dynamical modeling, decoding, and control of brain network activity for personalized therapy.

In Silico Neuroscience: Network Simulation

Delves into simulating network dynamics in in silico neuroscience, covering spontaneous and evoked activity, in-vitro and in-vivo simulations, and sensitivity analysis.

Neural System Organization

Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.

Challenge of even bigger models

Explores simulating large-scale neural network models and optimizing memory efficiency in neural simulations using NEURON and CoreNEURON.

Neuronal Dynamics: Random Networks

Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.

Why study human neuronal microcircuits

Explores the significance of studying human neuronal microcircuits and their correlation with brain size and cognitive abilities.

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