Artem Kirsanov Courses

Brain Criticality - Optimizing Neural Computations

1 rating

Explore how the brain may optimize information processing by hovering near a phase transition, through criticality, power laws, and neuronal avalanches.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Self-Study Computational Neuroscience - Coding, Textbooks, Math

1 rating

A practical roadmap for entering computational neuroscience through coding practice, textbooks, independent projects, and open brain datasets.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Building Blocks of Memory in the Brain

Explore engrams, the fundamental units of memory in the brain. Learn about memory allocation, storage, and linking, as well as the role of immediate-early genes and neuronal excitability in memory formation.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

How I Make Science Animations

Neuroscience PhD student shares creative process, software tools, and techniques for making science animations, including mathematical visualizations, 3D neuron activity, and brain models.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Dendrites: Why Biological Neurons Are Deep Neural Networks

Explore how dendrites transform individual biological neurons into computational units capable of nonlinear operations and deep neural network-like processing.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Theta Rhythm - A Memory Clock

How hippocampal theta rhythm acts as an internal clock coordinating neural activity during memory encoding, retrieval, and spatial navigation.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Wavelets- A Mathematical Microscope

Learn how wavelet transforms reveal hidden signal structure by analyzing time and frequency simultaneously.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Neural Manifolds - The Geometry of Behaviour

Topology reveals how neural population activity forms manifolds whose dimensions and holes encode information about behavior.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

The Most Important Algorithm in Machine Learning - Backpropagation Explained

Explore backpropagation's fundamentals, from curve fitting to gradient descent, chain rule, and computational graphs. Gain insights into this crucial machine learning algorithm's principles and applications.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Differential Equations: The Language of Change

Explore dynamical systems and differential equations through intuitive examples. Learn key concepts like state variables, phase portraits, and limit cycles to understand how systems change over time.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

The Key Equation Behind Probability - Entropy, Cross-Entropy, and KL Divergence

Explore probability theory fundamentals, from surprise to entropy, cross-entropy, and KL divergence. Learn key concepts applicable to neuroscience and machine learning.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Boltzmann Machines - The Grandfather of Generative Models

Explore Boltzmann Machines, early generative models learning data probability distributions using stochastic rules and latent representations. Understand their goals, distribution, update rules, and evolution to Restricted Boltzmann Machines.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

The Hodgkin-Huxley Model - Understanding Neural Electrical Signals

Dive into the Nobel Prize-winning Hodgkin-Huxley model to understand how neurons generate electrical signals, exploring membrane voltage, ion channels, and the biophysical principles of neural computation.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

The Physics of Associative Memory - Exploring Hopfield Networks

Explore Hopfield networks, a foundational model of associative memory in neuroscience and machine learning. Learn about network architecture, inference, learning, and limitations.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Hidden Beauty Behind Generative AI: Variational Inference and ELBO

Delve into the mathematical foundations of generative AI through variational inference and ELBO concepts, exploring how intelligent systems model probability distributions effectively.

• YouTube
• 32 minutes
• Self-Paced
• Free Video