Suggested further readings

Introduction

• Catalyzing next-generation Artificial Intelligence through NeuroAI (2023)

• The neuroconnectionist research programme (2023)

• A deep learning framework for neuroscience (2019)

• Neuroscience-Inspired Artificial Intelligence (2017)

• Out of distribution generalization in machine learning (2021)

• Universal Intelligence: A Definition of Machine Intelligence (2007)

• Emergent behaviour and neural dynamics in artificial agents tracking odour plumes (2023)

Tutorial 1

• Universal Language Model Fine-tuning for Text Classification (2018)

• TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models (2021)

Tutorial 2

• A neural network that finds a naturalistic solution for the production of muscle activity (2015)

• MotorNet: a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks (2024)

• μSim: A goal-driven framework for elucidating the neural control of movement through musculoskeletal modeling (2024)

Tutorial 3

• Human-level concept learning through probabilistic program induction (2015)

• Learning Task-General Representations with Generative Neuro-Symbolic Modeling (2020)