Lectures related to Calculation of Extracellular Potentials

In vivo electrophysiology

Explores in vivo electrophysiology techniques for studying brain function through extracellular potentials and whole-cell recordings.

Calculating Extracellular Potentials: Interpretation and Measurement

Explores the significance of calculating extracellular potentials for signal interpretation and measurement in neural circuits.

Conservation and separation of charges

Explores the conservation of charge in neurons and the challenges of interpreting extracellular signals.

Untitled

Membrane Currents and Extracellular Potentials

Explores the importance of membrane currents in measuring extracellular potentials.

Untitled

Neural Cell Membrane Dynamics

Explores neural cell membrane dynamics, including ion channels, action potentials, myelination, and bioelectronic interfaces.

Scientific Computing in Neuroscience

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

Neurophysiological Data Analysis

Covers neurophysiological data analysis, including data structure organization and action potential detection.

Understanding Synaptic Transmission

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Neural Signals and Signal Processing: Modeling and Simulation

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Modeling synaptic transmission: Stochastic Dynamics

Explores stochastic synaptic transmission modeling, parameters, inhibitory effects, and synaptic reliability.

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Neural Signals and Signal Processing

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

Biological Scope and Computational Simulation

Explores connecting biological scope with computational simulation methods and discusses various simulation environments for modeling neural activity.

Scientific Computing in Neuroscience

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

Network Simulation and Activity Dynamics

Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.

Semiconductor Devices II: Defects Engineering

Covers the analysis of measurements and defects engineering in semiconductor devices, including density of states and defect probing.

Approximation Landau: Ising Model

Explores the Landau approximation applied to the Ising model in statistical physics.

Neurophysiological Data Analysis

Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.