Introduction to the theory of neural computation
Introduction to the theory of neural computation
Can excitable media be considered as computational systems?
Selcted papers from a meeting on Waves and pattern in chemical and biological media
The Induction of Dynamical Recognizers
Machine Learning - Connectionist approaches to language learning
Analog computation via neural networks
Theoretical Computer Science
Dynamical recognizers: real time language recognition by analog computers
Theoretical Computer Science
Models of Computation: Exploring the Power of Computing
Models of Computation: Exploring the Power of Computing
Neural Systems as Nonlinear Filters
Neural Computation
On the Computational Power of Winner-Take-All
Neural Computation
A model of corticostriatal plasticity for learning oculomotor associations and sequences
Journal of Cognitive Neuroscience
Lower bounds for the computational power of networks of spiking neurons
Neural Computation
Gradient calculations for dynamic recurrent neural networks: a survey
IEEE Transactions on Neural Networks
The dynamic neural filter: a binary model of spatiotemporal coding
Neural Computation
On the Computational Power of Neural Microcircuit Models: Pointers to the Literature
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Gender Classification of Human Faces
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
A multiple bit upset tolerant SRAM memory
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Real-time computation at the edge of chaos in recurrent neural networks
Neural Computation
On the computational power of circuits of spiking neurons
Journal of Computer and System Sciences
Movement prediction from real-world images using a liquid state machine
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons
Neural Computation
Polychronization: Computation with Spikes
Neural Computation
Movement Generation with Circuits of Spiking Neurons
Neural Computation
Decoding a Temporal Population Code
Neural Computation
2005 Special issue: Recursive principal components analysis
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Applications of spiking neural networks
Information Processing Letters - Special issue on applications of spiking neural networks
Isolated word recognition with the liquid state machine: a case study
Information Processing Letters - Special issue on applications of spiking neural networks
Spiking neural nets with symbolic internal state
Information Processing Letters - Special issue on applications of spiking neural networks
Imitation learning with spiking neural networks and real-world devices
Engineering Applications of Artificial Intelligence
Nonlinear transient computation
Neurocomputing
Movement prediction from real-world images using a liquid state machine
Applied Intelligence
Analysis and design of echo state networks
Neural Computation
2007 Special Issue: The cerebellum as a liquid state machine
Neural Networks
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Neural Processing Letters
Delay learning and polychronization for reservoir computing
Neurocomputing
Improving reservoirs using intrinsic plasticity
Neurocomputing
Phase precession through synaptic facilitation
Neural Computation
Using Echo State Networks for Anomaly Detection in Underground Coal Mines
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Liquid State Genetic Programming
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
CiE '07 Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World
A Testbed for Neural-Network Models Capable of Integrating Information in Time
Anticipatory Behavior in Adaptive Learning Systems
Monostable Controllers for Adaptive Behaviour
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Stable Output Feedback in Reservoir Computing Using Ridge Regression
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Predictive Coding in Cortical Microcircuits
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Generating Complex Connectivity Structures for Large-Scale Neural Models
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers
OSC '08 Proceedings of the 1st international workshop on Optical SuperComputing
A Cellular Structure for Online Routing of Digital Spiking Neuron Axons and Dendrites on FPGAs
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Robust reservoir generation by correlation-based learning
Advances in Artificial Neural Systems
Pruning and regularization in reservoir computing
Neurocomputing
The Separation Property Enhancement of Liquid State Machine by Particle Swarm Optimization
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
The challenge of irrationality: fractal protein recipes for PI
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
The Cognitive Body: From Dynamic Modulation to Anticipation
Anticipatory Behavior in Adaptive Learning Systems
A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchies
Anticipatory Behavior in Adaptive Learning Systems
On the relation between bursts and dynamic synapse properties: a modulation-based Ansatz
Computational Intelligence and Neuroscience
A new hypothesis for sleep: Tuning for criticality
Neural Computation
Belief propagation in networks of spiking neurons
Neural Computation
Learning anticipation via spiking networks: application to navigation control
IEEE Transactions on Neural Networks
Memory-enhanced evolutionary robotics: the echo state network approach
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Optimizing Generic Neural Microcircuits through Reward Modulated STDP
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Almost Random Projection Machine
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
On the Quantification of Dynamics in Reservoir Computing
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Genetic algorithm for reservoir computing optimization
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Nonlinear time series online prediction using reservoir Kalman filter
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Which model to use for the liquid state machine?
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A neural model for the adaptive control of saccadic eye movements
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Benchmarking reservoir computing on time-independent classification tasks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Facial expression recognition based on liquid state machines built of alternative neuron models
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Spiking neural nets with symbolic internal state
Information Processing Letters - Special issue on applications of spiking neural networks
Applications of spiking neural networks
Information Processing Letters - Special issue on applications of spiking neural networks
Isolated word recognition with the Liquid State Machine: a case study
Information Processing Letters - Special issue on applications of spiking neural networks
Analysis of the ReSuMe Learning Process For Spiking Neural Networks
International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak
International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak
Liquid Computing efficiency as a function of neural cell's electrical parameters
MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
Memory in linear recurrent neural networks in continuous time
Neural Networks
Online processing of multiple inputs in a sparsely-connected recurrent neural network
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
The introduction of time-scales in reservoir computing, applied to isolated digits recognition
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Event detection and localization in mobile robot navigation using reservoir computing
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Covert attention with a spiking neural network
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Can't get you out of my head: a connectionist model of cyclic rehearsal
ZiF'06 Proceedings of the Embodied communication in humans and machines, 2nd ZiF research group international conference on Modeling communication with robots and virtual humans
What can AI get from neuroscience?
50 years of artificial intelligence
Stable trajectory generator: echo state network trained by particle swarm optimization
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Modular reservoir computing networks for imitation learning of multiple robot behaviors
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
A spiking neuron as information bottleneck
Neural Computation
Journal of Computational Neuroscience
Information processing in complex networks
IEEE Circuits and Systems Magazine - Special issue on complex networks applications in circuits and systems
Multimodal predictive control in crickets
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Almost random projection machine with margin maximization and kernel features
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Functional architectures and hierarchies of time scales
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Stability and topology in reservoir computing
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
A neurodynamical model for working memory
Neural Networks
Towards spatio-temporal pattern recognition using evolving spiking neural networks
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Improving recurrent neural network performance using transfer entropy
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Handwritten signatures recognition using Liquid State Machine
International Journal of Biometrics
Architectural and Markovian factors of echo state networks
Neural Networks
Learning data structures with inherent complex logic: neurocognitive perspective
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Spiking neurons that keep the rhythm
Journal of Computational Neuroscience
Pattern recognition using a recurrent neural network inspired on the olfactory bulb
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Error-backpropagation in networks of fractionally predictive spiking neurons
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
On the capacity of transient internal states in liquid-state machines
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Emerging Bayesian priors in a self-organizing recurrent network
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
International Journal of Systems, Control and Communications
Pattern Recognition
What makes a brain smart? reservoir computing as an approach for general intelligence
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Delayed synapses: an LSM model for studying aspects of temporal context in memory
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
Topological constraints and robustness in liquid state machines
Expert Systems with Applications: An International Journal
On the learning of ESN linear readouts
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
A systematic method for configuring vlsi networks of spiking neurons
Neural Computation
Recurrent kernel machines: Computing with infinite echo state networks
Neural Computation
Learning beyond finite memory in recurrent networks of spiking neurons
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Large scalable simulations of mammalian visual cortex
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Short term memory and pattern matching with simple echo state networks
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Deterministic modelling of randomness with recurrent artificial neural networks
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Modeling working memory and decision making using generic neural microcircuits
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
A possible mechanism for controlling timing representation in the cerebellar cortex
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Co-evolutionary learning in liquid architectures
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Signal processing in a nonlinear, nongaussian, and nonstationary world
Nonlinear Speech Modeling and Applications
Liquid computations and large simulations of the mammalian visual cortex
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
Reservoir-based evolving spiking neural network for spatio-temporal pattern recognition
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
SPAN: a neuron for precise-time spike pattern association
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
The echo state conditional random field model for sequential data modeling
Expert Systems with Applications: An International Journal
Journal of Computational Neuroscience
Simple deterministically constructed cycle reservoirs with regular jumps
Neural Computation
A reservoir-driven non-stationary hidden Markov model
Pattern Recognition
Survey: Reservoir computing approaches to recurrent neural network training
Computer Science Review
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
Re-visiting the echo state property
Neural Networks
Neural Processing Letters
Liquid computing in a simplified model of cortical layer IV: learning to balance a ball
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Constructing robust liquid state machines to process highly variable data streams
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Infinite sparse threshold unit networks
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
PSO for reservoir computing optimization
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Symbol representations in evolving droplet computers
UCNC'12 Proceedings of the 11th international conference on Unconventional Computation and Natural Computation
NeuCube evospike architecture for spatio-temporal modelling and pattern recognition of brain signals
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Continuous classification of spatio-temporal data streams using liquid state machines
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Temporal finite-state machines: a novel framework for the general class of dynamic networks
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Dynamical movement primitives: Learning attractor models for motor behaviors
Neural Computation
A spike-timing-based integrated model for pattern recognition
Neural Computation
Engineering Applications of Artificial Intelligence
An approach to reservoir computing design and training
Expert Systems with Applications: An International Journal
Randomly connected networks have short temporal memory
Neural Computation
A new supervised learning algorithm for spiking neurons
Neural Computation
Evolving advanced neural networks on run-time reconfigurable digital hardware platform
Proceedings of the 3rd International Workshop on Adaptive Self-Tuning Computing Systems
Representing objects, relations, and sequences
Neural Computation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Spatio-temporal spike pattern classification in neuromorphic systems
Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems
Natural Computing: an international journal
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A key challenge for neural modeling is to explain how a continuous stream of multimodal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrate-and-fire neurons in real time. We propose a new computational model for real-time computing on time-varying input that provides an alternative to paradigms based on Turing machines or attractor neural networks. It does not require a task-dependent construction of neural circuits. Instead, it is based on principles of high-dimensional dynamical systems in combination with statistical learning theory and can be implemented on generic evolved or found recurrent circuitry. It is shown that the inherent transient dynamics of the high-dimensional dynamical system formed by a sufficiently large and heterogeneous neural circuit may serve as universal analog fading memory. Readout neurons can learn to extract in real time from the current state of such recurrent neural circuit information about current and past inputs that may be needed for diverse tasks. Stable internal states are not required for giving a stable output, since transient internal states can be transformed by readout neurons into stable target outputs due to the high dimensionality of the dynamical system. Our approach is based on a rigorous computational model, the liquid state machine, that, unlike Turing machines, does not require sequential transitions between well-defined discrete internal states. It is supported, as the Turing machine is, by rigorous mathematical results that predict universal computational power under idealized conditions, but for the biologically more realistic scenario of real-time processing of time-varying inputs. Our approach provides new perspectives for the interpretation of neural coding, the design of experiments and data analysis in neurophysiology, and the solution of problems in robotics and neurotechnology.