Skip to main content
Back to top
Ctrl
+
K
Introduction
Schedule
General schedule
Shared calendars
Timezone widget
Technical Help
Using jupyterbook
Using Google Colab
Using Kaggle
Using discord
Quick links and policies
Foundations
Generalization (W1D1)
Intro
Tutorial 1: Generalization in AI
Tutorial 2: Generalization in Neuroscience
Tutorial 3: Generalization in Cognitive Science
Suggested further readings
Comparing Tasks (W1D2)
Intro
Tutorial 1: Task definition, application, relations and impacts on generalization
Tutorial 2: Contrastive learning for object recognition
Tutorial 3: Reinforcement learning across temporal scales
Suggested further readings
Comparing Artificial And Biological Networks (W1D3)
Intro
Tutorial 1: Generalization and representational geometry
Tutorial 2: Computation as transformation of representational geometries
Tutorial 3: Statistical inference on representational geometries
(Bonus) Tutorial 4: Representational geometry & noise
Tutorial 5: Dynamical Similarity Analysis (DSA)
Suggested further readings
Architectures
Microcircuits (W1D5)
Intro
Tutorial 1: Sparsity and Sparse Coding
Tutorial 2: Normalization
Tutorial 3: Attention
Suggested further readings
Macrocircuits (W2D1)
Intro
Tutorial 1: Depth vs width
Tutorial 2: Double descent
Tutorial 3: Neural network modularity
Suggested further readings
Neuro Symbolic Methods (W2D2)
W2D2 - Neurosymbolic Methods and Cognitive Architectures
Tutorial 1: Basic operations of vector symbolic algebra
Tutorial 2: Learning with structure
Tutorial 3: Question Answering with Memory
Suggested further readings
Learning
Microlearning (W2D3)
Intro
Tutorial 1: Microlearning
Suggested further readings
Macrolearning (W2D4)
Intro
Tutorial 1: The problem of changing data distributions
Tutorial 2: Continual learning
Tutorial 3: Meta-learning
Tutorial 4: Biological meta reinforcement learning
(Bonus) Tutorial 5: Replay
Suggested further readings
Mysteries
Mysteries (W2D5)
Intro
Tutorial 1: Consciousness
Tutorial 2: Ethics
Outro
Suggested further readings
Project Booklet
Introduction
Daily guide for projects
Continuing your project after the course
Project materials
Macrocircuits
Microlearning
Comparing networks
Repository
Open issue
.md
.pdf
Microlearning
Microlearning
#
