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Calculating Extracellular Potentials: Interpretation and Measurement
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Related lectures (33)
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Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.
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Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.
Biological Scope and Computational Simulation
Explores connecting biological scope with computational simulation methods and discusses various simulation environments for modeling neural activity.
In vivo electrophysiology
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Explores in vivo electrophysiology techniques for studying brain function through extracellular potentials and whole-cell recordings.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Simulation: Control of Dynamic Systems
Explores simulation of common structures and control of dynamic systems through friction and elasticity constants.
Modeling the electrical activity of the neuron
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Explores the modeling of neuron electrical activity, including ion channels and concentrations, Nernst equation, and resting potential.
Collective Behavior in Drosophila
Delves into collective behavior in Drosophila, highlighting social interactions, mechanosensation, and odor avoidance.
Optimization and Simulation: Introduction to Simulation
Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.
Simulation & Optimization: Poisson Process & Random Numbers
Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.
Injecting a current
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Explains injecting current into a neuron, creating recordings, running simulations, and handling synapses.
Simulating a hippocampus microcircuit
MOOC: Simulating a hippocampus micro-circuit
Covers the simulation of a hippocampus microcircuit with paired recordings in a rat CA1 model.
Orchestration Graphs: Learning with Simulations
Explores orchestration graphs for enhancing learning with simulations and the importance of consolidating knowledge through practice.
Comparison of Noise Models
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Compares diffusive noise and escape noise models in computational neuroscience, discussing simulation, calculation, and model fitting.
Simulation in Biophysics
Explores simulation in biophysics, covering types, applications, considerations, and precision in soft matter problems.
Neuronal Dynamics: Random Networks
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Explores the modeling of the '100 prisoners' problem and compares naive and optimal approaches.
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