Standout Papers
Citation Impact
Citing Papers
Tensor decompositions for learning latent variable models
2014 Standout
Closing the learning-planning loop with predictive state representations
2010
Generating Text with Recurrent Neural Networks
2011 StandoutNobel
Predictive Representations of State
2001
An Empirical Exploration of Recurrent Network Architectures
2015
Quadratic Weighted Automata: Spectral Algorithm and Likelihood Maximization
2011
On the importance of initialization and momentum in deep learning
2013 StandoutNobel
Deep reservoir computing: A critical analysis
2016
Learning Recurrent Neural Networks with Hessian-Free Optimization
2011
An overview of reservoir computing: theory, applications and implementations
2007
Advances in photonic reservoir computing
2017
Continual lifelong learning with neural networks: A review
2019 Standout
Information processing via physical soft body
2015
Constructing optimized binary masks for reservoir computing with delay systems
2014
Fully analogue photonic reservoir computer
2016
The rise of intelligent matter
2021 Nature
A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron
2015
Information processing using a single dynamical node as complex system
2011
Recent advances in physical reservoir computing: A review
2019 Standout
Reservoir Computing Beyond Memory-Nonlinearity Trade-off
2017
Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
2018
Minimum Complexity Echo State Network
2010
Real-Time Parallel Processing of Grammatical Structure in the Fronto-Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing
2013
Computing with networks of nonlinear mechanical oscillators
2017
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
2017 Standout
Trainable hardware for dynamical computing using error backpropagation through physical media
2015
Frontal theta as a mechanism for cognitive control
2014 Standout
Design and Analysis of a Neuromemristive Reservoir Computing Architecture for Biosignal Processing
2016
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
2007 Standout
Online reservoir adaptation by intrinsic plasticity for backpropagation–decorrelation and echo state learning
2007
Cortical dynamics revisited
2013
Minimal approach to neuro-inspired information processing
2015
Backpropagation and the brain
2020 StandoutNobel
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
2017 Standout
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
2021 StandoutNobel
Quantum machine learning
2017 StandoutNature
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
From cortical modules to memories
2013 StandoutNobel
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
Experimental demonstration of reservoir computing on a silicon photonics chip
2014
The cortex as a central pattern generator
2005
The role of feedback in morphological computation with compliant bodies
2012
Generating Coherent Patterns of Activity from Chaotic Neural Networks
2009
Emergence of Complex Computational Structures From Chaotic Neural Networks Through Reward-Modulated Hebbian Learning
2012
Machine learning for molecular and materials science
2018 StandoutNature
State-dependent computations: spatiotemporal processing in cortical networks
2009
Parallel Reservoir Computing Using Optical Amplifiers
2011
A reservoir of time constants for memory traces in cortical neurons
2011
Computational principles of memory
2016
Liquid computing on and off the edge of chaos with a striatal microcircuit
2014
Integration of nanoscale memristor synapses in neuromorphic computing architectures
2013
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex
2016
A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy
2018
Toward optical signal processing using Photonic Reservoir Computing
2008
A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm
2013
Learning by the Dendritic Prediction of Somatic Spiking
2014
Optoelectronic reservoir computing: tackling noise-induced performance degradation
2013
Recurrent temporal networks and language acquisition—from corticostriatal neurophysiology to reservoir computing
2013
Fading memory and kernel properties of generic cortical microcircuit models
2004
Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing
2012
The economy of brain network organization
2012 Standout
Optoelectronic resistive random access memory for neuromorphic vision sensors
2019 Standout
A survey on deep learning in medical image analysis
2017 Standout
Emergent Criticality in Complex Turing B‐Type Atomic Switch Networks
2011
Neuromorphic computing with nanoscale spintronic oscillators
2017 Nature
Reservoir computing using dynamic memristors for temporal information processing
2017
How machine learning can help select capping layers to suppress perovskite degradation
2020 StandoutNobel
Dynamic functional connectivity: Promise, issues, and interpretations
2013 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Matching Recall and Storage in Sequence Learning with Spiking Neural Networks
2013
A theoretical and experimental study of neuromorphic atomic switch networks for reservoir computing
2013
Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks
2015
Parallel photonic information processing at gigabyte per second data rates using transient states
2013
Analysis and Design of Echo State Networks
2006
The importance of mixed selectivity in complex cognitive tasks
2013 Nature
Deep learning
2015 StandoutNatureNobel
A Neuronal Model of Predictive Coding Accounting for the Mismatch Negativity
2012
Representation Learning: A Review and New Perspectives
2013 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Compact hardware liquid state machines on FPGA for real-time speech recognition
2007
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
2016 StandoutNobel
An experimental unification of reservoir computing methods
2007
Morphological Properties of Mass–Spring Networks for Optimal Locomotion Learning
2017
Computational capabilities of random automata networks for reservoir computing
2013
Hierarchy and dynamics of neural networks
2010
A neural network that finds a naturalistic solution for the production of muscle activity
2015
Embodiment of Learning in Electro-Optical Signal Processors
2016
Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex
2009
Temporal-Kernel Recurrent Neural Networks
2009 StandoutNobel
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks
2018
Deep learning in neural networks: An overview
2014 Standout
Whatever next? Predictive brains, situated agents, and the future of cognitive science
2013 Standout
Robust Transient Dynamics and Brain Functions
2011
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
High-performance photonic reservoir computer based on a coherently driven passive cavity
2015
Reinforcement learning in a large-scale photonic recurrent neural network
2018
Symbolic Computation Using Cellular Automata-Based Hyperdimensional Computing
2015
Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks With Mobile Users
2017
Digital Implementation of a Single Dynamical Node Reservoir Computer
2015
Design and control of compliant tensegrity robots through simulation and hardware validation
2014
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience
2017
Distributed Classifier Based on Genetically Engineered Bacterial Cell Cultures
2014
Exploiting short-term memory in soft body dynamics as a computational resource
2014
Deep learning with coherent nanophotonic circuits
2017 Standout
Multilayered Echo State Machine: A Novel Architecture and Algorithm
2016
Magnetic Skyrmion as a Nonlinear Resistive Element: A Potential Building Block for Reservoir Computing
2018
Squeeze-and-Excitation Networks
2019 Standout
Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback
2017
Impact of input mask signals on delay-based photonic reservoir computing with semiconductor lasers
2018
Online Adaptation and Energy Minimization for Hardware Recurrent Spiking Neural Networks
2018
Integrated photonic reservoir computing based on hierarchical time-multiplexing structure
2014
Energy consumption prediction of office buildings based on echo state networks
2016
Macromagnetic Simulation for Reservoir Computing Utilizing Spin Dynamics in Magnetic Tunnel Junctions
2018
A review of data-driven building energy consumption prediction studies
2017 Standout
Tutorial: Photonic neural networks in delay systems
2018
Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalization
2016
FPGA Implementation of Reservoir Computing with Online Learning
2015
Laser dynamical reservoir computing with consistency: an approach of a chaos mask signal
2016
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems
2015
Quaternion-Valued Echo State Networks
2014
Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach
2018
Reconfigurable neurons - making the most of configurable logic blocks (CLBs)
2015
Reservoir computing with a single time-delay autonomous Boolean node
2015
Reducing the phase sensitivity of laser-based optical reservoir computing systems
2016
Foundations and Advances in Deep Learning
2014
Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation
2014
Memristive Reservoir Computing Architecture for Epileptic Seizure Detection
2014
Memory traces in dynamical systems
2008
Millimeter-Wave Technology for Automotive Radar Sensors in the 77 GHz Frequency Band
2012 Standout
The Brain's Default Mode Network
2015 Standout
A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing
2017
FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting
2015
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
2015 Standout
Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures
2012
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
2015 Standout
Machine Learning for Perovskites' Reap-Rest-Recovery Cycle
2018
Randomness in neural networks: an overview
2017
Information Processing Using Transient Dynamics of Semiconductor Lasers Subject to Delayed Feedback
2013
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines
2017
Reservoir Computing With Spin Waves Excited in a Garnet Film
2018
Micro ring resonators as building blocks for an all-optical high-speed reservoir-computing bit-pattern-recognition system
2013
Recent advances in convolutional neural networks
2017 Standout
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns
2014
Soft Robotic Grippers
2018 Standout
High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification
2017
Performance and robustness of bio-inspired digital liquid state machines: A case study of speech recognition
2016
Deep reservoir computing: A critical experimental analysis
2017
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
2011
Photonic Delay Systems as Machine Learning Implementations
2015
All-optical reservoir computer based on saturation of absorption
2014
Reservoir Computing with Stochastic Bitstream Neurons
2005
High-Speed Optical Vector and Matrix Operations Using a Semiconductor Laser
2013
The practical implementation of artificial intelligence technologies in medicine
2018 Standout
Reduced-Rank Hidden Markov Models
2009
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
2023 StandoutNobel
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
2021 StandoutNobel
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
2009
Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks
2012
Random Pattern and Frequency Generation Using a Photonic Reservoir Computer with Output Feedback
2017
Reservoir Computing with an Ensemble of Time-Delay Reservoirs
2017
Optoelectronic Systems Trained With Backpropagation Through Time
2014
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Iterative temporal learning and prediction with the sparse online echo state gaussian process
2012
Virtualization of a Photonic Reservoir Computer
2016
A Developmental Approach to Structural Self-Organization in Reservoir Computing
2012
LSTM: A Search Space Odyssey
2016 Standout
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
2016 Standout
Simultaneous Computation of Two Independent Tasks Using Reservoir Computing Based on a Single Photonic Nonlinear Node With Optical Feedback
2015
Photonic Nonlinear Transient Computing with Multiple-Delay Wavelength Dynamics
2012
On the computational power of circuits of spiking neurons
2004
Deep learning for time series classification: a review
2019 Standout
FPGA based spike-time dependent encoder and reservoir design in neuromorphic computing processors
2016
Growing Echo-State Network With Multiple Subreservoirs
2016
Training Recurrent Networks by Evolino
2007
A spectral algorithm for learning Hidden Markov Models
2012
Towards an integration of deep learning and neuroscience
2016
Works of Herbert Jaeger being referenced
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation
2018
Optimization and applications of echo state networks with leaky- integrator neurons
2007
Frequency modulation of large oscillatory neural networks
2014
Re-visiting the echo state property
2012
A neurodynamical model for working memory
2010
Learning to ground fact symbols in behavior-based robots
2002
Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks
2012
A Fully Differential 77-GHz Active IQ Modulator in a Silicon-Germanium Technology
2008
Norm-Observable Operator Models
2010
Observable Operator Models for Discrete Stochastic Time Series
2000
Reservoir Computing Trends
2012
Reservoir computing approaches to recurrent neural network training
2009 Standout
Reservoir riddles: suggestions for echo state network research (extended abstract)
2006
Special issue on echo state networks and liquid state machines
2007
Echo state network
2007
A Bound on Modeling Error in Observable Operator Models and an Associated Learning Algorithm
2009
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
2004 StandoutScience