标题
A deep learning framework for neuroscience
作者
关键词
-
出版物
NATURE NEUROSCIENCE
Volume 22, Issue 11, Pages 1761-1770
出版商
Springer Science and Business Media LLC
发表日期
2019-10-29
DOI
10.1038/s41593-019-0520-2
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Reinforcement Learning Recruits Somata and Apical Dendrites across Layers of Primary Sensory Cortex
- (2019) Clay O. Lacefield et al. Cell Reports
- Fundamental bounds on learning performance in neural circuits
- (2019) Dhruva Venkita Raman 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
- Reinforcement Learning, Fast and Slow
- (2019) Matthew Botvinick et al. TRENDS IN COGNITIVE SCIENCES
- Deep Learning With Asymmetric Connections and Hebbian Updates
- (2019) Yali Amit Frontiers in Computational Neuroscience
- A critique of pure learning and what artificial neural networks can learn from animal brains
- (2019) Anthony M. Zador Nature Communications
- Progress and remaining challenges in high-throughput volume electron microscopy
- (2018) Jörgen Kornfeld et al. CURRENT OPINION IN NEUROBIOLOGY
- Challenges and opportunities for large-scale electrophysiology with Neuropixels probes
- (2018) Nicholas A Steinmetz et al. CURRENT OPINION IN NEUROBIOLOGY
- Prefrontal cortex as a meta-reinforcement learning system
- (2018) Jane X. Wang et al. NATURE NEUROSCIENCE
- Learning by neural reassociation
- (2018) Matthew D. Golub et al. NATURE NEUROSCIENCE
- Control of synaptic plasticity in deep cortical networks
- (2018) Pieter R. Roelfsema et al. NATURE REVIEWS 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
- Sensory cortex is optimised for prediction of future input
- (2018) Yosef Singer et al. eLife
- Vector-based navigation using grid-like representations in artificial agents
- (2018) Andrea Banino et al. NATURE
- Cognitive computational neuroscience
- (2018) Nikolaus Kriegeskorte et al. NATURE NEUROSCIENCE
- DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
- (2018) Alexander Mathis et al. NATURE NEUROSCIENCE
- Higher-Order Thalamocortical Inputs Gate Synaptic Long-Term Potentiation via Disinhibition
- (2018) Leena E. Williams et al. NEURON
- 'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification
- (2018) Dean A Pospisil et al. eLife
- Dendritic solutions to the credit assignment problem
- (2018) Blake A Richards et al. CURRENT OPINION IN NEUROBIOLOGY
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- 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
- Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights
- (2017) Arash Samadi et al. NEURAL COMPUTATION
- Neuroscience Needs Behavior: Correcting a Reductionist Bias
- (2017) John W. Krakauer et al. NEURON
- Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity
- (2017) Rui Ponte Costa et al. NEURON
- Behavioral time scale synaptic plasticity underlies CA1 place fields
- (2017) Katie C. Bittner et al. SCIENCE
- Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
- (2017) Benjamin Scellier et al. Frontiers in Computational Neuroscience
- Computational Account of Spontaneous Activity as a Signature of Predictive Coding
- (2017) Veronika Koren et al. PLoS Computational Biology
- Towards deep learning with segregated dendrites
- (2017) Jordan Guerguiev et al. eLife
- All-optical functional synaptic connectivity mapping in acute brain slices using the calcium integrator CaMPARI
- (2016) Timothy A. Zolnik et al. JOURNAL OF PHYSIOLOGY-LONDON
- Experience-dependent spatial expectations in mouse visual cortex
- (2016) Aris Fiser et al. NATURE NEUROSCIENCE
- Using goal-driven deep learning models to understand sensory cortex
- (2016) Daniel L K Yamins et al. NATURE NEUROSCIENCE
- High-Throughput Mapping of Single-Neuron Projections by Sequencing of Barcoded RNA
- (2016) Justus M. Kebschull et al. NEURON
- 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
- Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream
- (2015) U. Guclu et al. JOURNAL OF NEUROSCIENCE
- Inferring learning rules from distributions of firing rates in cortical neurons
- (2015) Sukbin Lim et al. NATURE NEUROSCIENCE
- Space–time wiring specificity supports direction selectivity in the retina
- (2014) Jinseop S. Kim et al. NATURE
- Interneuron cell types are fit to function
- (2014) Adam Kepecs et al. NATURE
- A critical time window for dopamine actions on the structural plasticity of dendritic spines
- (2014) S. Yagishita et al. SCIENCE
- Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
- (2014) Charles F. Cadieu et al. PLoS Computational Biology
- Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation
- (2014) Seyed-Mahdi Khaligh-Razavi et al. PLoS Computational Biology
- The vestibular system: multimodal integration and encoding of self-motion for motor control
- (2012) Kathleen E. Cullen TRENDS IN NEUROSCIENCES
- A Sparse Coding Model with Synaptically Local Plasticity and Spiking Neurons Can Account for the Diverse Shapes of V1 Simple Cell Receptive Fields
- (2011) Joel Zylberberg et al. PLoS Computational Biology
- The timing of external input controls the sign of plasticity at local synapses
- (2009) Jeehyun Kwag et al. NATURE NEUROSCIENCE
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