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  • 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
  • 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
  • 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
  • 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
    • Projects 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

Project Exemption Form: https://airtable.com/shrubhlgsWJ8DuA7E

Policies#

Coursework attendance policy#

Students who participate in this course will gain a certificate of completion for the coursework. Students are allowed to miss two days if necessary and if they communicate that with their teaching assistant. If there are exceptional circumstances that force a student to miss class for reasons completely beyond their control, such as severe illness, electricity blackouts, etc, they can request to get the certificate despite missing more than two days by filling out the Attendance Waiver (https://airtable.com/appQ20RmRMNxUVUTd/shrKlQX3PHW8OcTtg) at least two days prior to the end of course. Please note these requests may not be granted.

Projects attendance policy#

Projects are an integral part of the Neuromatch Academy experience. Students who participate in projects and miss no more than two days of projects work will gain a certificate of completion for the projects.

If the student participates in projects but misses more than two days due to exceptional circumstances, they can request to get the projects certificate anyway by filling out the Attendance Waiver (https://airtable.com/appQ20RmRMNxUVUTd/shrKlQX3PHW8OcTtg) at least two days prior to the end of course. Please note these requests may not be granted.

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By Neuromatch

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