Standout Papers
Citation Impact
Citing Papers
StarGAN v2: Diverse Image Synthesis for Multiple Domains
2020
Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing
2015
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
2018 Standout
Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network
2016 StandoutNobel
Recent advances in physical reservoir computing: A review
2019 Standout
Real-time classification and sensor fusion with a spiking deep belief network
2013
Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes
2018 StandoutNobel
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
2016
Frontal theta as a mechanism for cognitive control
2014 Standout
Stochastic variational learning in recurrent spiking networks
2014
Cortical dynamics revisited
2013
Backpropagation and the brain
2020 StandoutNobel
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Unsupervised learning of digit recognition using spike-timing-dependent plasticity
2015
Machine learning for molecular and materials science
2018 StandoutNature
Generative adversarial network in medical imaging: A review
2019
Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP
2013
Integration of nanoscale memristor synapses in neuromorphic computing architectures
2013
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
Event-driven contrastive divergence for spiking neuromorphic systems
2014
Fully hardware-implemented memristor convolutional neural network
2020 StandoutNature
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Neural Syntax: Cell Assemblies, Synapsembles, and Readers
2010
Functional organization of the hippocampal longitudinal axis
2014 StandoutNobel
A light-driven artificial flytrap
2017 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Using Deep Learning for Image-Based Plant Disease Detection
2016 Standout
Deep learning in neural networks: An overview
2014 Standout
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
2012 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
BEGAN v3: Avoiding Mode Collapse in GANs Using Variational Inference
2020
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
2020
Deep learning with coherent nanophotonic circuits
2017 Standout
The computational nature of memory modification
2017
Sliced Wasserstein Generative Models
2019
Unsupervised learning by competing hidden units
2019 StandoutNobel
Where Do Features Come From?
2013 StandoutNobel
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines
2015 Science
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
2017 Standout
Reservoir Computing Trends
2012
Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications
2021 Standout
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Knowledge Distillation: A Survey
2021 Standout
An Efficient Learning Procedure for Deep Boltzmann Machines
2012 StandoutNobel
Deep learning with long short-term memory networks for financial market predictions
2017 Standout
Spike-Timing-Dependent Construction
2013
Digital Reticular Chemistry
2020 StandoutNobel
Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
2020 Standout
KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis
2020
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
2016
Massively parallel probabilistic computing with sparse Ising machines
2022 StandoutNobel
A survey of deep neural network architectures and their applications
2016 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Neuromorphic computing using non-volatile memory
2016
Memory, navigation and theta rhythm in the hippocampal-entorhinal system
2013 StandoutNobel
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Autonomous Probabilistic Coprocessing With Petaflips per Second
2020
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
Deep Learning in Medical Image Analysis
2017 Standout
Mechanisms of Gamma Oscillations
2012 Standout
Deep learning in agriculture: A survey
2018 Standout
Memory and Information Processing in Neuromorphic Systems
2015
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
2021 Standout
Towards an integration of deep learning and neuroscience
2016
Works of Bernhard Nessler being referenced
STDP enables spiking neurons to detect hidden causes of their inputs
2009
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
2012
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons
2011
Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity
2013
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition
2015
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning
2014
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
2017 Standout