Understanding the Brain

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Related lectures (50)

Introduction into the module MOOC: Simulation Neurocience

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

Understanding Synaptic Transmission

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Synaptic transmission: Structure and Mechanisms MOOC: Simulation Neurocience

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

Glutamate Receptors: Functional Properties and Brain Mechanisms

Explores glutamate receptors, EPSPs, EPSCs, LTP, LTD, STDP, and dendritic spines.

Cellular Mechanisms of Brain Function

Covers the structure of a neuroscience course, focusing on cell membrane, ion channels, synaptic transmission, and brain function.

Neurotransmitters: Receptors and Effects

Explores major neurotransmitters, their effects, drug therapy, and receptor mechanisms in brain function.

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Glutamate receptors: Structure and Function MOOC: Cellular Mechanisms of Brain Function

Explores the structure, ion permeability, kinetics, and diversity of glutamate receptors, including AMPA and NMDA, as well as metabotropic receptors.

Modeling the electrical activity of the neuron MOOC: Simulation Neurocience

Explores the modeling of neuron electrical activity, including ion channels and concentrations, Nernst equation, and resting potential.

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Neural Signals and Signal Processing

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

Data strategies: building neural circuits MOOC: Simulation Neurocience

Explores data strategies for building neural circuits in simulation neuroscience.

Derivation of the Cable Equation MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the derivation of the cable equation for modeling dendrites in computational neuroscience.

Synapses: Neuronal Dynamics MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

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Postsynaptic Potentials: Cellular Mechanisms MOOC: Cellular Mechanisms of Brain Function

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

Mathematical Model of the Brain

Explores the development of a mathematical model of the brain, focusing on brain organization and dynamics, including neuronal activity patterns and emergent phenomena.

Functional Brain Imaging: Signal Processing

Covers neuroimaging techniques, brain structure, MRI basics, and big data in brain research.

Mathematical Model of the Brain: Dynamics and Equilibria

Explores a mathematical model of the brain, discussing dynamics, equilibria, orientation selectivity, and cortical network models.

Neural Signals and Signal Processing

Explores neural signals, brain imaging techniques, and brain organization, emphasizing the importance of understanding brain imaging methods and measuring brain signals noninvasively.

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