Injecting a current

Related lectures (32)

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

Explores the peculiar properties, variability, optimization, and degeneracy of CA1 neurons.

Demonstrates simulating single cells in a hippocampus microcircuit using a paired recording app.

Explores data strategies for building neural circuits in simulation neuroscience.

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

Explores assembling in silico neuroscience networks, defining space, and dealing with sparse data to reconstruct brain regions.

Discusses dendrites as cables, covering the cable equation derivation and current conservation in coupled compartments.

Covers configuring synapses to realistic biological ranges and visualizing NMDA conductance dependencies.

Covers the simulation of a hippocampus microcircuit with paired recordings in a rat CA1 model.

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

Delves into collective behavior in Drosophila, highlighting social interactions, mechanosensation, and odor avoidance.

Covers computational neuroscience basics, single neuron models, synapses, and neural variability.

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.

Covers the methods for studying single neurons, including morphology and electrophysiology profiling.

Covers the simulation of a hippocampus microcircuit for understanding brain function and behavior.

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

Compares diffusive noise and escape noise models in computational neuroscience, discussing simulation, calculation, and model fitting.

Explores simulation of common structures and control of dynamic systems through friction and elasticity constants.

Introduces the simulation of networks, covering brain modeling at various spatial scales and the NEURON Simulation Environment.

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