Lecture

Associative Memory: Magnetic Materials

Related lectures (47)
Understanding Machine Learning: Exactly Solvable Models
Explores the statistical mechanics of learning, focusing on neural networks' mysteries and computational challenges.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Neural Network Activity: Modeling and Analysis
Explores neural network modeling, sensitivity analysis, and replicating experimental conditions to understand brain activity.
Stochastic Hopfield modelMOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
Explores the Stochastic Hopfield model, noisy neurons, firing probabilities, memory retrieval, and overlap equations in attractor networks.
Synaptic Plasticity: Online Memory LearningMOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
Explores synaptic plasticity, spike-timing models, and online memory learning challenges in computational neuroscience.
Neuronal Dynamics of Cognition: Associative MemoryMOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
Explores associative memory in neuronal networks, neuronal structure, and information processing.
Storage Capacity: Prototypes and Neuronal DynamicsMOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition
Explores the storage capacity of associative memory in networks of neurons and the impact of multiple prototypes on error rates.
Connectivity and motif analysisMOOC: Simulating a hippocampus micro-circuit
Explores connectivity and motif patterns in the hippocampus microcircuit, highlighting their significance in neural network organization.
Exchange Interaction: Basic Aspects
Covers the basic aspects of exchange interaction in magnetic materials, including direct exchange and Heisenberg model.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.