Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Analyzing Hebbian Learning Rule
Graph Chatbot
Related lectures (32)
Previous
Page 3 of 4
Next
Modeling the synaptic potential
Explores the modeling of synaptic potentials and the factors influencing their amplitude.
Neural System Organization
Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.
Neural Networks: Logic and Applications
Explores the logic of neuronal function, the Perceptron model, deep learning applications, and levels of abstraction in neural models.
Synaptic transmission: Structure and Mechanisms
Explores the structure and function of synapses, including neurotransmitter diversity and the role of AMPA and NMDA receptors.
Synaptic Plasticity: Mechanisms and Models
Explores different forms of synaptic plasticity and computational models to understand its mechanisms and induction protocols.
Learning and synaptic plasticity
Covers sensory stimulation, learning, synaptic plasticity, and Hebb's postulate in neurorobotics.
Synaptic Plasticity: Online Memory Learning
Explores synaptic plasticity, spike-timing models, and online memory learning challenges in computational neuroscience.
Neural Networks: Training and Activation
Explores neural networks, activation functions, backpropagation, and PyTorch implementation.
Introduction to Machine Learning
Provides an overview of Machine Learning, including historical context, key tasks, and real-world applications.
Spike-Timing Models of plasticity
Explores Spike-Timing Models of plasticity, including STDP and synaptic traces.