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Related lectures (32)
Understanding Synaptic Transmission
Explores synaptic transmission, neurotransmitters, and neural plasticity principles.
Synaptic Transmission: Electrical vs Chemical
Compares electrical and chemical synapses, emphasizing their properties and behavior, including the neuromuscular junction and synapses in the CNS.
Python Lists: Manipulation and Comprehension
Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.
Modeling the synaptic potential
Explores the modeling of synaptic potentials and the factors influencing their amplitude.
Network Simulation and Activity Dynamics
Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.
Object-Oriented Programming Fundamentals
Covers the basics of object-oriented programming in Python, including objects, classes, inheritance, and input/output handling.
Synaptic Transmission: Electrical vs. Chemical
Explores the differences between electrical and chemical synapses, synaptic plasticity, and receptor behavior.
Data Science Visualization with Pandas
Covers data manipulation and exploration using Python with a focus on visualization techniques.
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Synaptic transmission: Structure and Mechanisms
Explores the structure and function of synapses, including neurotransmitter diversity and the role of AMPA and NMDA receptors.
Modeling synaptic transmission: Stochastic Dynamics
Explores stochastic synaptic transmission modeling, parameters, inhibitory effects, and synaptic reliability.
Functions in Python
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Activating Synapses
Explains handling synapses, presynaptic cells, and multisynaptic connections in a neuron model.
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Neurophysiological Data Analysis
Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.
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File Management and Exception Handling in Python
Focuses on file management and exception handling in Python programming.
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Structures and Mechanisms: Opening a Box
Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.
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