List of works - Timothy Lillicrap

A deep learning framework for neuroscience

scientific article published on 28 October 2019

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

scientific article published in Science

A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network ⬇️

article by Basile Confavreux et al published November 2020 in Advances in Neural Information Processing Systems 33

A simple neural network module for relational reasoning ⬇️

academic article

Adapting to inversion of the visual field: a new twist on an old problem

scientific article published on 23 May 2013

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures ⬇️

scholarly article by Sergey Bartunov et al published 2018 in Advances in Neural Information Processing Systems 31

Backpropagation and the brain

scientific article published on 17 April 2020

Backpropagation through time and the brain

scientific article published on 07 March 2019

Building machines that learn and think for themselves

scientific article published in January 2017

Can neocortical feedback alter the sign of plasticity?

scientific article published on 01 October 2018

Clonal relationships impact neuronal tuning within a phylogenetically ancient vertebrate brain structure

scientific article published on 7 August 2014

Complex spatiotemporal tuning in human upper-limb muscles

scientific article published on 18 November 2009

Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights

scientific article published on 17 January 2017

Deep Learning without Weight Transport ⬇️

scholarly article by Mohamed Akrout et al published 2019 in Advances in Neural Information Processing Systems 32

Dendritic solutions to the credit assignment problem

scientific article published on 08 September 2018

Experience Replay for Continual Learning ⬇️

Grandmaster level in StarCraft II using multi-agent reinforcement learning

scientific article published on 30 October 2019

Inclusive fitness analysis on mathematical groups ⬇️

scientific article published on November 5, 2010

Is coding a relevant metaphor for building AI?

scientific article published on 28 November 2019

Learning Attractor Dynamics for Generative Memory ⬇️

article

Learning Continuous Control Policies by Stochastic Value Gradients ⬇️

scientific article published in January 2015

Learning sensitivity derivative by implicit supervision

scientific article published on 6 July 2007

Mastering Atari, Go, chess and shogi by planning with a learned model

scientific article published on 23 December 2020

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm ⬇️

scientific article published on 5 December 2017

Mastering the game of Go with deep neural networks and tree search

scientific article (publication date: 27 January 2016)

Mastering the game of Go without human knowledge ⬇️

scientific article

One-shot Learning with Memory-Augmented Neural Networks ⬇️

article published in 2016

Optimizing agent behavior over long time scales by transporting value

scientific article published on 19 November 2019

Preference distributions of primary motor cortex neurons reflect control solutions optimized for limb biomechanics

scientific article

Primary motor cortex neurons classified in a postural task predict muscle activation patterns in a reaching task

scientific article published on 3 February 2016

Random synaptic feedback weights support error backpropagation for deep learning

scientific article published on 8 November 2016

Relational recurrent neural networks ⬇️

scholarly article by Adam Santoro et al published 2018 in Advances in Neural Information Processing Systems 31

Temporal encoding of movement in motor cortical neurons.

scientific article published on September 2007

Temporal evolution of "automatic gain-scaling".

scientific article published on 13 May 2009

Temporal evolution of both premotor and motor cortical tuning properties reflect changes in limb biomechanics

scientific article published on 11 February 2015

The Brain-Computer Metaphor Debate Is Useless: A Matter of Semantics

scientific article published in 2022

Towards deep learning with segregated dendrites.

scientific article published on 5 December 2017

Training Generative Adversarial Networks by Solving Ordinary Differential Equations ⬇️

scientific article published in November 2020

Unsupervised learning is crucial to learning the names of objects.

scientific article published on 6 July 2007

Vector-based navigation using grid-like representations in artificial agents

scientific article published on 9 May 2018

Why copy others? Insights from the social learning strategies tournament

scientific article

List of works by Timothy Lillicrap

A deep learning framework for neuroscience

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network ⬇️

A simple neural network module for relational reasoning ⬇️

Adapting to inversion of the visual field: a new twist on an old problem

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures ⬇️

Backpropagation and the brain

Backpropagation through time and the brain

Building machines that learn and think for themselves

Can neocortical feedback alter the sign of plasticity?

Clonal relationships impact neuronal tuning within a phylogenetically ancient vertebrate brain structure

Complex spatiotemporal tuning in human upper-limb muscles

Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights

Deep Learning without Weight Transport ⬇️

Dendritic solutions to the credit assignment problem

Experience Replay for Continual Learning ⬇️

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Inclusive fitness analysis on mathematical groups ⬇️

Is coding a relevant metaphor for building AI?

Learning Attractor Dynamics for Generative Memory ⬇️

Learning Continuous Control Policies by Stochastic Value Gradients ⬇️

Learning sensitivity derivative by implicit supervision

Mastering Atari, Go, chess and shogi by planning with a learned model

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm ⬇️

Mastering the game of Go with deep neural networks and tree search

Mastering the game of Go without human knowledge ⬇️

One-shot Learning with Memory-Augmented Neural Networks ⬇️

Optimizing agent behavior over long time scales by transporting value

Preference distributions of primary motor cortex neurons reflect control solutions optimized for limb biomechanics

Primary motor cortex neurons classified in a postural task predict muscle activation patterns in a reaching task

Random synaptic feedback weights support error backpropagation for deep learning

Relational recurrent neural networks ⬇️

Temporal encoding of movement in motor cortical neurons.

Temporal evolution of "automatic gain-scaling".

Temporal evolution of both premotor and motor cortical tuning properties reflect changes in limb biomechanics

The Brain-Computer Metaphor Debate Is Useless: A Matter of Semantics

Towards deep learning with segregated dendrites.

Training Generative Adversarial Networks by Solving Ordinary Differential Equations ⬇️

Unsupervised learning is crucial to learning the names of objects.

Vector-based navigation using grid-like representations in artificial agents

Why copy others? Insights from the social learning strategies tournament