Matthew Botvinick
机构: Google DeepMind, Yale Law School, University College London
每年引用次数
引用次数
引用: 84,301
H-指数: 100
I10-指数 : 173
出版物: 376
Constructive processes in immediate serial recall: A recurrent network model of the bigram frequency effect
M. Botvinick , D. C. Plaut
6
2003
Conflict Monitoring in Cognition-Emotion Competition.
Matthew M. Botvinick , Samuel M. McClure , Joshua D. Greene , Jonathan D. Cohen
The Guilford Press
37
2007
Conflict monitoring: computational and empirical studies
Matthew Botvinick , Markus Ullsperger , Todd S. Braver , Cameron S. Carter
Guilford Press 91 -102
25
2004
Learning semantic features for fMRI data from definitional text
Matthew Botvinick , Greg Detre , Francisco Pereira
north american chapter of the association for computational linguistics 1 -9
8
2010
OBSERVATIONS Regularization in Short-Term Memory for Serial Order
Matthew Botvinick , Lauren M. Bylsma
2005
Anterior cingulate and prefrontal cortex: who's in
Matthew Botvinick , Cameron S. Carter , D. Cohen
2000
One-shot Learning with Memory-Augmented Neural Networks
Matthew Botvinick , Sergey Bartunov , Daan Wierstra , Adam Santoro
arXiv: Learning
283
2016
Meta-learning with memory-augmented neural networks
Matthew Botvinick , Sergey Bartunov , Daan Wierstra , Adam Santoro
international conference on machine learning 1842 -1850
689
2016
Learning to reinforcement learn
Matt Botvinick , Remi Munos , Joel Z Leibo , Zeb Kurth-Nelson
arXiv: Learning
355
2016
Supplementary material from "Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning"
Matthew M. Botvinick , Anna C. Schapiro , Kenneth A. Norman , Nicholas B. Turk-Browne
1
2016
Learning to Learn without Gradient Descent by Gradient Descent
Matthew Botvinick , Misha Denil , Nando de Freitas , Yutian Chen
international conference on machine learning 748 -756
99
2017
Structure Learning in Motor Control:A Deep Reinforcement Learning Model
Matthew M. Botvinick , Ari Weinstein
arXiv: Artificial Intelligence
6
2017
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
Irina Higgins , Nicolas Sonnerat , Loic Matthey , Arka Pal
arXiv: Machine Learning
20
2017
Computational Psychiatry: New Perspectives on Mental Illness (Strungmann Forum Reports)
Matthew Botvinick , Klaas Enno Stephan , Frederike Petzschner , Rosalyn J Moran
MIT Press
4
2016
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017.
Demis Hassabis , Matthew Botvinick , Tom Schaul , Daan Wierstra
arXiv: Artificial Intelligence
5
2017
Tutorial: Recent Advances in Deep Learning.
Matthew Botvinick , Peter W. Battaglia
Cognitive Science
2017
SCAN: Learning Hierarchical Compositional Visual Concepts
Demis Hassabis , Matthew Botvinick , Murray Shanahan , Matko Bosnjak
arXiv: Machine Learning
21
2017
Machine Theory of Mind
Matthew Botvinick , Frank Perbet , S. M. Ali Eslami , Chiyuan Zhang
arXiv: Artificial Intelligence
24
2018
Probing Physics Knowledge Using Tools from Developmental Psychology.
Matthew Botvinick , Chia-Chun Hung , Arun Ahuja , Ari Weinstein
arXiv: Artificial Intelligence
9
2018
Been There, Done That: Meta-Learning with Episodic Recall
Matthew Botvinick , Razvan Pascanu , Zeb Kurth-Nelson , Charles Blundell
arXiv: Machine Learning
23
2018