Computational Neuroscience Courses and Certifications

Artem Kirsanov

A Unifying Framework for Memory and Abstraction

Explore the Tolman-Eichenbaum Machine, a computational model unifying memory and spatial navigation in the hippocampus. Learn about its architecture, performance, and implications for neuroscience.

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

International Centre for Theoretical Sciences

Computational Principles of Sensorimotor Control - Lecture 1

Explore computational principles of sensorimotor control, including optimal feedback control, state estimation, motor learning, and Bayesian decision theory in human movement and robotics.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Artem Kirsanov

How Your Brain Organizes Information

Explore cognitive maps and how the brain organizes information for flexible behavior. Learn about hippocampal neurons, non-spatial mapping, graph theory, latent spaces, and factorized representations in neuroscience.

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

MITCBMM

Building Machines that Learn and Think Like People

Explore computational neuroscience and AI inspired by human cognition, covering intuitive theories, compositionality, and learning to learn for more human-like artificial intelligence.

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

MITCBMM

Calcium Imaging Data Cell Extraction

Learn advanced techniques for extracting neuronal signals from calcium imaging data using CNMF-E, a matrix factorization approach. Improve signal quality and detection in microendoscopic recordings of deep brain activity.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

MITCBMM

Spike Timing in Motor Control

Explore spike timing in neural motor codes, focusing on vocalization and breathing in songbirds. Learn about information encoding in neurons and its impact on animal behavior.

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

MITCBMM

Learning with Symmetry and Invariance for Speech Perception

Explore symmetry and invariance in speech perception, focusing on acoustic variability, feedforward models, and invariant representations. Learn about word orbits, phone representations, and acoustic modeling techniques.

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

MITCBMM

Learning in Recurrent Neural Networks

Explore recurrent neural networks, covering continuous and spiking models, effective connectivity, and philosophical implications in computational neuroscience.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

MITCBMM

Towards a System-Level Theory of Computation in the Visual Cortex

Explore computational models of visual processing in primate cortex, combining neuroscience and AI to understand perception and develop advanced computer vision systems.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

MITCBMM

Feedforward and Feedback Processes in Visual Recognition

Explore visual recognition processes, comparing deep learning models with neuroscience-inspired approaches. Gain insights into complex visual reasoning and potential advancements in AI through computational neuroscience.

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

MITCBMM

Computational Models of Human Vision - Part 2

Explore computational approaches to human vision, focusing on encoding, decoding, and behavioral metrics in the ventral stream and identity manifold.

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

Simons Institute

The Sparse Manifold Transform

Explore computational theories of the brain through the Sparse Manifold Transform, examining its applications in understanding neural processing and information representation in the visual system.

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

Simons Institute

Predictive Coding Models of Perception

Explore cutting-edge theories on how the brain processes sensory information, focusing on predictive coding models and their implications for understanding perception.

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

Simons Institute

Basal Ganglia Architecture for Reinforcement Learning

Explore the neural circuitry of basal ganglia and its role in reinforcement learning, focusing on representation, coding, and computation in neural networks.

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

Simons Institute

Place-Cell Sequences in the Hippocampus

Explore hippocampal place-cell sequences and their role in neural circuits, focusing on representation, coding, and computation in the brain's spatial navigation system.

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