- Home
- Publications
- Publication Search
- Publication Details
Title
If deep learning is the answer, what is the question?
Authors
Keywords
-
Journal
NATURE REVIEWS NEUROSCIENCE
Volume 22, Issue 1, Pages 55-67
Publisher
Springer Science and Business Media LLC
Online
2020-11-16
DOI
10.1038/s41583-020-00395-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
- (2020) Grace Lindsay JOURNAL OF COGNITIVE NEUROSCIENCE
- Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks
- (2020) Uri Hasson et al. NEURON
- Reevaluating the Role of Persistent Neural Activity in Short-Term Memory
- (2020) Nicolas Y. Masse et al. TRENDS IN COGNITIVE SCIENCES
- Nonlinear mixed selectivity supports reliable neural computation
- (2020) W. Jeffrey Johnston et al. PLoS Computational Biology
- Temporal chunking as a mechanism for unsupervised learning of task-sets
- (2020) Flora Bouchacourt et al. eLife
- Map Making: Constructing, Combining, and Inferring on Abstract Cognitive Maps
- (2020) Seongmin A. Park et al. NEURON
- A diverse range of factors affect the nature of neural representations underlying short-term memory
- (2019) A. Emin Orhan et al. NATURE NEUROSCIENCE
- Schema cells in the macaque hippocampus
- (2019) P. Baraduc et al. SCIENCE
- Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences
- (2019) Carlos R. Ponce et al. CELL
- Deep neural network models of sensory systems: windows onto the role of task constraints
- (2019) Alexander JE Kell et al. CURRENT OPINION IN NEUROBIOLOGY
- Towards the neural population doctrine
- (2019) Shreya Saxena et al. CURRENT OPINION IN NEUROBIOLOGY
- Machine behaviour
- (2019) Iyad Rahwan et al. NATURE
- Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior
- (2019) Kohitij Kar et al. NATURE NEUROSCIENCE
- Continual lifelong learning with neural networks: A review
- (2019) German I. Parisi et al. NEURAL NETWORKS
- A mathematical theory of semantic development in deep neural networks
- (2019) Andrew M. Saxe et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Neural population control via deep image synthesis
- (2019) Pouya Bashivan et al. SCIENCE
- Deep Neural Networks as Scientific Models
- (2019) Radoslaw M. Cichy et al. TRENDS IN COGNITIVE SCIENCES
- Human Replay Spontaneously Reorganizes Experience
- (2019) Yunzhe Liu et al. CELL
- Circuit mechanisms for the maintenance and manipulation of information in working memory
- (2019) Nicolas Y. Masse et al. NATURE NEUROSCIENCE
- Contrastive Hebbian learning with random feedback weights
- (2019) Georgios Detorakis et al. NEURAL NETWORKS
- Reconciling modern machine-learning practice and the classical bias–variance trade-off
- (2019) Mikhail Belkin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Sequential replay of nonspatial task states in the human hippocampus
- (2019) Nicolas W. Schuck et al. SCIENCE
- Factors Determining Where Category-Selective Areas Emerge in Visual Cortex
- (2019) Hans P. Op de Beeck et al. TRENDS IN COGNITIVE SCIENCES
- Engineering a Less Artificial Intelligence
- (2019) Fabian H. Sinz et al. NEURON
- Causes and consequences of representational drift
- (2019) Michael E Rule et al. CURRENT OPINION IN NEUROBIOLOGY
- A deep learning framework for neuroscience
- (2019) Blake A. Richards et al. NATURE NEUROSCIENCE
- Inception loops discover what excites neurons most using deep predictive models
- (2019) Edgar Y. Walker et al. NATURE NEUROSCIENCE
- The Life of Behavior
- (2019) Alex Gomez-Marin et al. NEURON
- Recurrence is required to capture the representational dynamics of the human visual system
- (2019) Tim C. Kietzmann et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A critique of pure learning and what artificial neural networks can learn from animal brains
- (2019) Anthony M. Zador Nature Communications
- Statistical Mechanics of Deep Learning
- (2019) Yasaman Bahri et al. Annual Review of Condensed Matter Physics
- Deep neural networks for modeling visual perceptual learning
- (2018) Li Wenliang et al. JOURNAL OF NEUROSCIENCE
- Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks
- (2018) Rishi Rajalingham et al. JOURNAL OF NEUROSCIENCE
- A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy
- (2018) Alexander J.E. Kell et al. NEURON
- Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics
- (2018) Evan D. Remington et al. NEURON
- Neural scene representation and rendering
- (2018) S. M. Ali Eslami et al. SCIENCE
- Vector-based navigation using grid-like representations in artificial agents
- (2018) Andrea Banino et al. NATURE
- A Dynamical Systems Perspective on Flexible Motor Timing
- (2018) Evan D. Remington et al. TRENDS IN COGNITIVE SCIENCES
- The Hippocampus and Neocortical Inhibitory Engrams Protect against Memory Interference
- (2018) Renée S. Koolschijn et al. NEURON
- What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior
- (2018) Timothy E.J. Behrens et al. NEURON
- Comparing continual task learning in minds and machines
- (2018) Timo Flesch et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
- (2018) Nicolas Y. Masse et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Seeing faces is necessary for face-domain formation
- (2017) Michael J Arcaro et al. NATURE NEUROSCIENCE
- An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity
- (2017) James C. R. Whittington et al. NEURAL COMPUTATION
- Neuroscience Needs Behavior: Correcting a Reductionist Bias
- (2017) John W. Krakauer et al. NEURON
- Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions
- (2017) Warasinee Chaisangmongkon et al. NEURON
- Neuroscience-Inspired Artificial Intelligence
- (2017) Demis Hassabis et al. NEURON
- Overcoming catastrophic forgetting in neural networks
- (2017) James Kirkpatrick et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Parallel Distributed Processing Theory in the Age of Deep Networks
- (2017) Jeffrey S. Bowers TRENDS IN COGNITIVE SCIENCES
- Organization of high-level visual cortex in human infants
- (2017) Ben Deen et al. Nature Communications
- A map of abstract relational knowledge in the human hippocampal–entorhinal cortex
- (2017) Mona M Garvert et al. eLife
- Why neurons mix: high dimensionality for higher cognition
- (2016) Stefano Fusi et al. CURRENT OPINION IN NEUROBIOLOGY
- Toward the neural implementation of structure learning
- (2016) D Gowanlock R Tervo et al. CURRENT OPINION IN NEUROBIOLOGY
- Hybrid computing using a neural network with dynamic external memory
- (2016) Alex Graves et al. NATURE
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Using goal-driven deep learning models to understand sensory cortex
- (2016) Daniel L K Yamins et al. NATURE NEUROSCIENCE
- Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant Information
- (2016) Dharshan Kumaran et al. NEURON
- Unmasking Latent Inhibitory Connections in Human Cortex to Reveal Dormant Cortical Memories
- (2016) H.C. Barron et al. NEURON
- Fast Sequences of Non-spatial State Representations in Humans
- (2016) Zeb Kurth-Nelson et al. NEURON
- Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning
- (2016) Anna C. Schapiro et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Atoms of recognition in human and computer vision
- (2016) Shimon Ullman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Organizing conceptual knowledge in humans with a gridlike code
- (2016) A. O. Constantinescu et al. SCIENCE
- What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
- (2016) Dharshan Kumaran et al. TRENDS IN COGNITIVE SCIENCES
- Toward an Integration of Deep Learning and Neuroscience
- (2016) Adam H. Marblestone et al. Frontiers in Computational Neuroscience
- Random synaptic feedback weights support error backpropagation for deep learning
- (2016) Timothy P. Lillicrap et al. Nature Communications
- Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
- (2016) Radoslaw Martin Cichy et al. Scientific Reports
- Statistical learning of temporal community structure in the hippocampus
- (2015) Anna C. Schapiro et al. HIPPOCAMPUS
- Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream
- (2015) U. Guclu et al. JOURNAL OF NEUROSCIENCE
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Choice-correlated activity fluctuations underlie learning of neuronal category representation
- (2015) Tatiana A. Engel et al. Nature Communications
- Learning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortex
- (2015) Margaret L. Schlichting et al. Nature Communications
- Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing
- (2015) Nikolaus Kriegeskorte Annual Review of Vision Science
- Encoding and decoding in parietal cortex during sensorimotor decision-making
- (2014) Il Memming Park et al. NATURE NEUROSCIENCE
- A category-free neural population supports evolving demands during decision-making
- (2014) David Raposo et al. NATURE NEUROSCIENCE
- Learning bundles of stimuli renders stimulus order as a cue, not a confound
- (2014) Ting Qian et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Performance-optimized hierarchical models predict neural responses in higher visual cortex
- (2014) D. L. K. Yamins et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Context-dependent computation by recurrent dynamics in prefrontal cortex
- (2013) Valerio Mante et al. NATURE
- The importance of mixed selectivity in complex cognitive tasks
- (2013) Mattia Rigotti et al. NATURE
- Neural representations of events arise from temporal community structure
- (2013) Anna C Schapiro et al. NATURE NEUROSCIENCE
- Goals and Habits in the Brain
- (2013) Ray J. Dolan et al. NEURON
- The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function
- (2013) Amitai Shenhav et al. NEURON
- Cognitive control over learning: Creating, clustering, and generalizing task-set structure.
- (2013) Anne G. E. Collins et al. PSYCHOLOGICAL REVIEW
- Shaping of Object Representations in the Human Medial Temporal Lobe Based on Temporal Regularities
- (2012) Anna C. Schapiro et al. CURRENT BIOLOGY
- Choice-specific sequences in parietal cortex during a virtual-navigation decision task
- (2012) Christopher D. Harvey et al. NATURE
- Hippocampal and Ventral Medial Prefrontal Activation during Retrieval-Mediated Learning Supports Novel Inference
- (2012) Dagmar Zeithamova et al. NEURON
- Précis of The Origin of Concepts
- (2011) Susan Carey BEHAVIORAL AND BRAIN SCIENCES
- Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval
- (2011) Margaret F Carr et al. NATURE NEUROSCIENCE
- How advances in neural recording affect data analysis
- (2011) Ian H Stevenson et al. NATURE NEUROSCIENCE
- How to Grow a Mind: Statistics, Structure, and Abstraction
- (2011) J. B. Tenenbaum et al. SCIENCE
- Evidence for grid cells in a human memory network
- (2010) Christian F. Doeller et al. NATURE
- The free-energy principle: a unified brain theory?
- (2010) Karl Friston NATURE REVIEWS NEUROSCIENCE
- Place Cells, Grid Cells, and the Brain's Spatial Representation System
- (2008) Edvard I. Moser et al. Annual Review of Neuroscience
- Darwin's mistake: Explaining the discontinuity between human and nonhuman minds
- (2008) Derek C. Penn et al. BEHAVIORAL AND BRAIN SCIENCES
- How does nature program neuron types?
- (2008) Alexander Borst Frontiers in Neuroscience
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started