Simons Institute Courses

Classical Simulation of Quantum Many-body Systems with Tensor Networks

Explore tensor networks for simulating quantum many-body systems, focusing on matrix product states and branching mirror techniques in quantum computation challenges.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Sparse Fourier Transform Algorithm for Real-Time Applications

Explore real-time applications of Sparse Fourier Transform, including spectrum sensing and wireless networks, with algorithms for efficient signal processing and sparse recovery.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Predicting Intersection Signal Timing

Explore signal control parameters, queueing theory, and dynamic programming for optimizing intersection traffic flow and reducing fuel consumption.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Making Blockchains More Useful for Business

Explore advancements in blockchain technology for business applications, focusing on confidential transactions and Bulletproofs to enhance privacy and efficiency in cryptocurrency systems.

• YouTube
• 20 minutes
• On-Demand
• Free Video

A Functional Classification of Glutamatergic Circuits in Cortex and Thalamus

Explore glutamatergic circuits in cortex and thalamus, focusing on functional classification, postsynaptic receptors, and metabotropic components. Gain insights into dynamic basal ganglia and modulation of driver inputs.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Backpropagation and Deep Learning in the Brain

Explore deep learning in the brain, backpropagation, and credit assignment algorithms. Discover neuroscience evidence and new models of neurons in this computational brain theory talk.

• YouTube
• 1 hour
• On-Demand
• Free Video

Dynamic Neural Network Structures Through Stochastic Rewiring

Explore stochastic rewiring in neural networks, covering plasticity, noise, and reward-based learning, with insights into parameter dynamics and experimental findings.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Does the Neocortex Use Grid Cell-Like Mechanisms to Learn the Structure of Objects?

Explore how the neocortex might use grid cell-like mechanisms to learn object structure, drawing parallels between spatial navigation and object recognition in the brain.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Working Memory Influences Reinforcement Learning Computations in Brain and Behavior

Explore how working memory influences reinforcement learning in the brain, examining experimental results, genetic factors, and EEG data to uncover neural mechanisms of learning.

• YouTube
• 50 minutes
• On-Demand
• Free Video

The Prefrontal Cortex as a Meta-Reinforcement Learning System

Explore the prefrontal cortex's role in meta-reinforcement learning, connecting neuroscience and AI through recurrent neural networks and cognitive tasks like Harlow's experiment.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Time Series Analysis via Matrix Estimation

Explore matrix estimation techniques for time series analysis, focusing on imputation, algorithms, and theoretical foundations with practical applications in societal networks.

• YouTube
• 30 minutes
• On-Demand
• Free Video

A Variational Inequality Framework for Network Games

Explore a variational inequality framework for network games, covering game theory connections, Jacobian properties, and sufficient conditions for Nash equilibria in symmetric networks.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Risk-Averse Selfish Routing

Explores traffic congestion with uncertain conditions, comparing risk-averse and risk-neutral equilibria in routing games. Analyzes efficiency and price of risk aversion for various scenarios.

• YouTube
• 32 minutes
• On-Demand
• Free Video

A Marketplace for Data: An Algorithmic Solution

Explore algorithmic solutions for data marketplaces, addressing challenges like privacy, fairness, and revenue maximization in societal networks and real-time applications.

• YouTube
• 32 minutes
• On-Demand
• Free Video

The Information Bottleneck Theory of Deep Neural Networks

Explore the Information Bottleneck Theory's application to deep neural networks, examining statistical learning, information theory, and stochastic gradient descent in brain data analysis.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video