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  • Schedule
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  • Quick links and policies
  • Prerequisites and preparatory materials for NeuroAI course
  • Generalization (W1D1)
  • Comparing Tasks (W1D2)
  • Comparing Artificial And Biological Networks (W1D3)
  • Microcircuits (W1D5)
  • Macrocircuits (W2D1)
  • Neuro Symbolic Methods (W2D2)
  • Microlearning (W2D3)
  • Macrolearning (W2D4)
  • Mysteries (W2D5)
  • Introduction
  • Daily guide for projects
  • Continuing your project after the course
  • Project materials
  • Introduction
  • Mentorship Program

Site Navigation

  • Schedule
  • Technical Help
  • Quick links and policies
  • Prerequisites and preparatory materials for NeuroAI course
  • Generalization (W1D1)
  • Comparing Tasks (W1D2)
  • Comparing Artificial And Biological Networks (W1D3)
  • Microcircuits (W1D5)
  • Macrocircuits (W2D1)
  • Neuro Symbolic Methods (W2D2)
  • Microlearning (W2D3)
  • Macrolearning (W2D4)
  • Mysteries (W2D5)
  • Introduction
  • Daily guide for projects
  • Continuing your project after the course
  • Project materials
  • Introduction
  • Mentorship Program
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  • Introduction
  • Schedule
    • General schedule
    • Shared calendars
    • Timezone widget
  • Technical Help
    • Using jupyterbook
      • Using Google Colab
      • Using Kaggle
    • Using discord
  • Quick links and policies
  • Prerequisites and preparatory materials for NeuroAI course

Foundations

  • Generalization (W1D1)
    • Intro
    • Tutorial 1: Generalization in AI
    • Tutorial 2: Generalization in Neuroscience
    • Tutorial 3: Generalization in Cognitive Science
    • Daily survey
    • 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
    • Daily survey
    • 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
    • Tutorial 4: Representational geometry & noise
    • Bonus Material: Dynamical similarity analysis (DSA)
    • Daily survey
    • Suggested further readings

Architectures

  • Microcircuits (W1D5)
    • Intro
    • Tutorial 1: Sparsity and Sparse Coding
    • Tutorial 2: Normalization
    • Tutorial 3: Attention
    • Daily survey
    • Suggested further readings
  • Macrocircuits (W2D1)
    • Intro
    • Tutorial 1: Depth vs width
    • Tutorial 2: Double descent
    • Tutorial 3: Neural network modularity
    • Daily survey
    • Suggested further readings
  • Neuro Symbolic Methods (W2D2)
    • Intro
    • Tutorial 1: Basic operations of vector symbolic algebra
    • Tutorial 2: Learning with structure
    • Tutorial 3: Representations in continuous space
    • Daily survey
    • Suggested further readings

Learning

  • Microlearning (W2D3)
    • Intro
    • Tutorial 1: Microlearning
    • Daily survey
    • 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
    • Tutorial 5: Replay
    • Daily survey
    • Suggested further readings

Mysteries

  • Mysteries (W2D5)
    • Intro
    • Tutorial 1: Consciousness
    • Tutorial 2: Ethics
    • Outro & Daily survey
    • Suggested further readings

Project Booklet

  • Introduction
  • Daily guide for projects
  • Continuing your project after the course
  • Project materials
    • Macrocircuits
    • Microlearning
    • Comparing Networks

Professional Development

  • Introduction
  • Mentorship Program
  • repository
  • open issue
  • .md

Quick links and policies

Contents

  • Quick links
  • Policies
    • Coursework attendance policy

Quick links and policies#

Quick links#

Course materials: https://neuroai.neuromatch.io/

Portal: https://portal.neuromatchacademy.org/

Website: https://neuromatch.io/

Code of Conduct and Code of Conduct Violations Form: NeuromatchAcademy/precourse

Attendance Policy & Waiver: https://docs.neuromatch.io/p/BI_ssrrHYrfg_E/Academy-Student-Attendance-Policy-and-Waivers

Policies#

Coursework attendance policy#

See full course attendance policy here.

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By Neuromatch

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