Spikes: exploring the neural code

Blind source separation and deconvolution: the dynamic component analysis algorithm

Neural Computation

Probability density methods for smooth function approximation and learning in populations of tuned spiking neurons

Neural Computation

Complex response to periodic inhibition in simple and detailed neuronal models

Neural Computation

The effect of correlated variability on the accuracy of a population code

Neural Computation

Spatiaotemporal coding in the cortex: information flow-based learning in spiking neural networks

Neural Computation

Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli

Neural Computation

On decoding the responses of a population of neurons from short time windows

Neural Computation

Introduction: Computer Vision Research at NECI

International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute

The CAM-Brain Machine (CBM): Real Time Evolution andUpdate of a 75 Million Neuron FPGA-Based Artificial Brain

Journal of VLSI Signal Processing Systems - Special issue on VLSI on custom computing technology

On the relevance of time in neural computation and learning

Theoretical Computer Science

Unsupervised learning and self-organization in networks of spiking neurons

Self-Organizing neural networks

Evolution of visual resolution constrained by a trade-off

Artificial Life

Cognitive mechanisms underlying the creative process

C&C '02 Proceedings of the 4th conference on Creativity & cognition

On computing Boolean functions by a spiking neuron

Annals of Mathematics and Artificial Intelligence

The CAM-Brain Machine (CBM): An FPGA Based Tool for Evolving a 75 Million Neuron Artificial Brain to Control a Lifesized Kitten Robot

Autonomous Robots

A spiking neuron model: applications and learning

Neural Networks

The bifurcating neuron network 2: an analog associative memory

Neural Networks

Information processing in dendrites-II.: information theoretic complexity

Neural Networks

Spiking neurons and the induction of finite state machines

Theoretical Computer Science - Natural computing

Scalable hybrid computation with spikes

Neural Computation

Representational accuracy of stochastic neural populations

Neural Computation

Synchronisation, binding, and the role of correlated firing in fast information transmission

Emergent neural computational architectures based on neuroscience

Noise-Induced Signal Enhancement in Heterogeneous Neural Networks

ICCS '01 Proceedings of the International Conference on Computational Science-Part II

Self-Organized Evolutionary Process in Sets of Interdependent Variables near the Midpoint of Phase Transition in K-Satisfiability

ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware

Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission

Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing

The impact of spike timing variability on the signal-encoding performance of neural spiking models

Neural Computation

Locality of global stochastic interaction in directed acyclic networks

Neural Computation

Cortical belief networks

Computational models for neuroscience

Estimation of entropy and mutual information

Neural Computation

Evolutionary bits'n'spikes

ICAL 2003 Proceedings of the eighth international conference on Artificial life

Computation in a single Neuron: Hodgkin and Huxley revisited

Neural Computation

What causes a Neuron to spike?

Neural Computation

Neural representation of probabilistic information

Neural Computation

An efficient training algorithm for dynamic synapse neural networks using trust region methods

Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03

Pattern filtering for detection of neural activity, with examples from HVc activity during sleep in Zebra finches

Neural Computation

Tree-structured neural decoding

The Journal of Machine Learning Research

Dynamical properties of strongly interacting Markov chains

Neural Networks

Mean instantaneous firing frequency is always higher than the firing rate

Neural Computation

Estimating the temporal interval entropy of neuronal discharge

Neural Computation

A novel signal-processing strategy for hearing-aid design: neurocompensation

Signal Processing

On the computational power of circuits of spiking neurons

Journal of Computer and System Sciences

Cognition and the Power of Continuous Dynamical Systems

Minds and Machines

Genetic design of discrete dynamical basis networks that approximate data sequences and functions

International Journal of Systems Science

From Wheels to Wings with Evolutionary Spiking Circuits

Artificial Life

How Close Are We to Understanding V1?

Neural Computation

Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population

Neural Computation

A Unified Approach to Building and Controlling Spiking Attractor Networks

Neural Computation

Estimating Entropy Rates with Bayesian Confidence Intervals

Neural Computation

Quantifying Stimulus Discriminability: A Comparison of Information Theory and Ideal Observer Analysis

Neural Computation

A Subjective Distance Between Stimuli: Quantifying the Metric Structure of Representations

Neural Computation

Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule

Neural Computation

Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity

Neural Computation

Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions

Neural Computation

Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks

Neural Computation

Dynamic Analyses of Information Encoding in Neural Ensembles

Neural Computation

Decoding a Temporal Population Code

Neural Computation

Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex

Neural Computation

A Unified Approach to the Study of Temporal, Correlational, and Rate Coding

Neural Computation

A Novel Spike Distance

Neural Computation

Metabolically Efficient Information Processing

Neural Computation

Predictability, Complexity, and Learning

Neural Computation

Period Focusing Induced by Network Feedback in Populations of Noisy Integrate-and-Fire Neurons

Neural Computation

Detecting and Estimating Signals over Noisy and Unreliable Synapses: Information-Theoretic Analysis

Neural Computation

Evaluating Auditory Performance Limits: I. One-Parameter Discrimination Using a Computational Model for the Auditory Nerve

Neural Computation

Evaluating Auditory Performance Limits: II. One-Parameter Discrimination with Random-Level Variation

Neural Computation

Synergy in a Neural Code

Neural Computation

Multispikes and Synchronization in a Large Neural Network with Temporal Delays

Neural Computation

Neural Systems as Nonlinear Filters

Neural Computation

Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates

Neural Computation

Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials

Neural Computation

Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials

Neural Computation

Improvements to the Sensitivity of Gravitational Clustering for Multiple Neuron Recordings

Neural Computation

Detecting and Estimating Signals in Noisy Cable Structures, I: Neuronal Noise Sources

Neural Computation

Detecting and Estimating Signals in Noisy Cable Structures, II: Information Theoretical Analysis

Neural Computation

Adaptive Neural Coding Dependent on the Time-Varying Statistics of the Somatic Input Current

Neural Computation

Dynamics of Strongly Coupled Spiking Neurons

Neural Computation

Computing Information in Neuronal Spikes

Neural Processing Letters

Using Bayes’ Rule to Model Multisensory Enhancement in the Superior Colliculus

Neural Computation

Cooperative and temporally structured information in the visual cortex

Signal Processing - Neuronal coordination in the brain: A signal processing perspective

Sparse representations of polyphonic music

Signal Processing - Sparse approximations in signal and image processing

Stimulus reconstruction from neural spike trains: are conventional filters suitable for both periodic and aperiodic stimuli?

Signal Processing

Dynamic gain changes during attentional modulation

Neural Computation

The Neurophysiology of Backward Visual Masking: Information Analysis

Journal of Cognitive Neuroscience

Timing channels, anonymity, mixes, and spikes

ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology

Recognition by Variance: Learning Rules for Spatiotemporal Patterns

Neural Computation

The Spike-Triggered Average of the Integrate-and-Fire Cell Driven by Gaussian White Noise

Neural Computation

Massively distributed digital implementation of an integrate-and-fire LEGION network for visual scene segmentation

Neurocomputing

Linking non-binned spike train kernels to several existing spike train metrics

Neurocomputing

Coherent response of the Hodgkin-Huxley neuron in the high-input regime

Neurocomputing

Fast Population Coding

Neural Computation

2007 Special Issue: Fading memory and time series prediction in recurrent networks with different forms of plasticity

Neural Networks

Time series prediction with single multiplicative neuron model

Applied Soft Computing

Estimating Information Rates with Confidence Intervals in Neural Spike Trains

Neural Computation

Tracking signal subspace invariance for blind separation and classification of nonorthogonal sources in correlated noise

EURASIP Journal on Applied Signal Processing

Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques

Neural Computation

Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories

Neural Computation

Inter-spike-intervals analysis of AER Poisson-like generator hardware

Neurocomputing

Single neuron computation: From dynamical system to feature detector

Neural Computation

Connecting neurons to a mobile robot: an in vitro bidirectional neural interface

Computational Intelligence and Neuroscience - EEG/MEG Signal Processing

On the nature of neural information: A critique of the received view 50 years later

Neurocomputing

How optimal stimuli for sensory neurons are constrained by network architecture

Neural Computation

Dynamical constraints on using precise spike timing to compute in recurrent cortical networks

Neural Computation

Populations of tightly coupled neurons: The rgc/lgn system

Neural Computation

Validation testing of temporal neural networks for RBF recognition

EHAC'05 Proceedings of the 4th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications

Can spike coordination be differentiated from rate covariation?

Neural Computation

2008 Special Issue: Deterministic neural dynamics transmitted through neural networks

Neural Networks

Functional Identification of Retinal Ganglion Cells Based on Neural Population Responses

IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks

Bayesian Inference for Sparse Generalized Linear Models

ECML '07 Proceedings of the 18th European conference on Machine Learning

Closing the Sensory-Motor Loop on Dopamine Signalled Reinforcement Learning

SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats

Real and Modeled Spike Trains: Where Do They Meet?

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II

Mutual information expansion for studying the role of correlations in population codes: How important are autocorrelations?

Neural Computation

Faithful representation of stimuli with a population of integrate-and-fire neurons

Neural Computation

Motion detection and object tracking with discrete leaky integrate-and-fire neurons

Applied Intelligence

Neural network learning of optimal Kalman prediction and control

Neural Networks

Indices for testing neural codes

Neural Computation

Spike-timing error backpropagation in theta neuron networks

Neural Computation

Searching for semantics in the retinal code

Neurocomputing

Identifying functional connectivity in large-scale neural ensemble recordings: A multiscale data mining approach

Neural Computation

Action Recognition Using a Bio-Inspired Feedforward Spiking Network

International Journal of Computer Vision

Formal Tools for the Analysis of Brain-Like Structures and Dynamics

Creating Brain-Like Intelligence

Spike Detection and Sorting: Combining Algebraic Differentiations with ICA

ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation

Mean-field approximations for coupled populations of generalized linear model spiking neurons with markov refractoriness

Neural Computation

A refinement of the common cause principle

Discrete Applied Mathematics

2009 Special Issue: Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces

Neural Networks

A first-order nonhomogeneous markov model for the response of spiking neurons stimulated by small phase-continuous signals

Neural Computation

Direct estimation of inhomogeneous markov interval models of spike trains

Neural Computation

Stimulus-dependent correlations in threshold-crossing spiking neurons

Neural Computation

Stochastic properties of coincidence-detector neural cells

Neural Computation

Universal Estimation of Information Measures for Analog Sources

Foundations and Trends in Communications and Information Theory

2009 Special Issue: Spatial attention in area V4 is mediated by circuits in primary visual cortex

Neural Networks

Maximum likelihood decoding of neuronal inputs from an interspike interval distribution

Neural Computation

Sequential monte carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces

Neural Computation

Energy coding and energy functions for local activities of the brain

Neurocomputing

On the accuracy and resolution of powersum-based sampling methods

IEEE Transactions on Signal Processing

Entropy and mutual information can improve fitness evaluation in coevolution of neural networks

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation

Evolving Spiking Neural Parameters for Behavioral Sequences

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II

The robustness of stochastic switching networks

ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3

Real-valued average consensus over noisy quantized channels

ACC'09 Proceedings of the 2009 conference on American Control Conference

A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition

Digital Signal Processing

Supervised learning in spiking neural networks with resume: Sequence learning, classification, and spike shifting

Neural Computation

The computational structure of spike trains

Neural Computation

Towards Spike-Based Speech Processing: A Biologically Plausible Approach to Simple Acoustic Classification

International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak

Feature selection in simple neurons: How coding depends on spiking dynamics

Neural Computation

Phase locking below rate threshold in noisy model neurons

Neural Computation

A continuous entropy rate estimator for spike trains using a k-means-based context tree

Neural Computation

Quantitative estimation of the nonstationary behavior of neural spontaneous activity

Computational Intelligence and Neuroscience - Special issue on signal processing for neural spike trains

Constraints of biological neural networks and their consideration in AI applications

Advances in Artificial Intelligence - Special issue on artificial intelligence in neuroscience and systems biology: lessons learnt, open problems, and the road ahead

An asynchronous spiking chaotic neuron integrated circuit

Neurocomputing

Examining methods for estimating mutual information in spiking neural systems

Neurocomputing

Deficiencies in traditional measures of in vitro hippocampal rhythms

Neurocomputing

A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions

Neurocomputing

Altered sensory filtering and coding properties by synaptic dynamics in the electric sense

Neurocomputing

Collective plasticity and individual stability in cultured neuronal networks

Neurocomputing

Decoding poisson spike trains by gaussian filtering

Neural Computation

Implementing classical conditioning with spiking neurons

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Zero-lag long range synchronization of neurons is enhanced by dynamical relaying

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

A continuous entropy rate estimator for spike trains using a k-means-based context tree

Neural Computation

General poisson exact breakdown of the mutual information to study the role of correlations in populations of neurons

Neural Computation

2010 Special Issue: Investigating neuronal activity by SPYCODE multi-channel data analyzer

Neural Networks

Information theory and neural information processing

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

Population encoding with Hodgkin-Huxley neurons

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

Capacity analysis for integrate-and-fire neurons with descending action potential thresholds

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

Synergistic coding by cortical neural ensembles

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

Anthropic correction of information estimates and its application to neural coding

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

Symmetry breaking in soft clustering decoding of neural codes

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

A channel model for inferring the optimal number of electrodes for future cochlear implants

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

Multilayer processing of spatiotemporal spike patterns in a neuron with active dendrites

Neural Computation

An information theoretic approach to identify the role of higher-order interactions between cortical neurons in stimulus coding

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers

A new look at state-space models for neural data

Journal of Computational Neuroscience

Causal pattern recovery from neural spike train data using the Snap Shot Score

Journal of Computational Neuroscience

Functional identification of biological neural networks using reservoir adaptation for point processes

Journal of Computational Neuroscience

Recording from two neurons: Second-order stimulus reconstruction from spike trains and population coding

Neural Computation

A fast lp spike alignment metric

Neural Computation

Receptive field optimisation and supervision of a fuzzy spiking neural network

Neural Networks

Pattern recognition using spiking neurons and firing rates

IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence

Synaptic information transfer in computer models of neocortical columns

Journal of Computational Neuroscience

Characterizing the fine structure of a neural sensory code through information distortion

Journal of Computational Neuroscience

A metric space approach to the information channel capacity of spike trains

Journal of Computational Neuroscience

Quantifying neurotransmission reliability through metrics-based information analysis

Neural Computation

A spiking neuron model of auditory neural coding

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

From hopfield nets to pulsed neural networks

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

A finite-sample, distribution-free, probabilistic lower bound on mutual information

Neural Computation

Firing variability is higher than deduced from the empirical coefficient of variation

Neural Computation

Auditory information coding by modeled cochlear nucleus neurons

Journal of Computational Neuroscience

Dynamic model of the dLGN push-pull circuitry

IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - 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

Observational learning based on models of overlapping pathways

ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II

Combinatorial fusion analysis in brain informatics: gender variation in facial attractiveness judgment

AMT'11 Proceedings of the 7th international conference on Active media technology

Combinatorial fusion analysis in brain informatics: gender variation in facial attractiveness judgment

BI'11 Proceedings of the 2011 international conference on Brain informatics

A cortex-like learning machine for temporal hierarchical pattern clustering, detection, and recognition

Neurocomputing

Finding the event structure of neuronal spike trains

Neural Computation

A low-order model of biological neural networks

Neural Computation

An information-geometric framework for statistical inferences in the neural spike train space

Journal of Computational Neuroscience

Decoding acupuncture electrical signals in spinal dorsal root ganglion

Neurocomputing

Approximate reconstruction of bandlimited functions for the integrate and fire sampler

Advances in Computational Mathematics

Letters: How spurious correlations affect a correlation-based measure of spike timing reliability

Neurocomputing

Improved similarity measures for small sets of spike trains

Neural Computation

Optimizing time histograms for non-poissonian spike trains

Neural Computation

A method for quantifying temporal and spatial patterns of spike trains

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

STDP within NDS neurons

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I

Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Inter-spike-intervals analysis of poisson like hardware synthetic AER generation

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Perceptive, non-linear speech processing and spiking neural networks

Nonlinear Speech Modeling and Applications

Encoding and decoding of analog signals with a population of neurons

Mathematical and Computer Modelling: An International Journal

On the relation between encoding and decoding of neuronal spikes

Neural Computation

Characterizing responses of translation-invariant neurons to natural stimuli: Maximally informative invariant dimensions

Neural Computation

A closed-loop neurorobotic system for investigating braille-reading finger kinematics

EuroHaptics'12 Proceedings of the 2012 international conference on Haptics: perception, devices, mobility, and communication - Volume Part I

Mapping of visual receptive fields by tomographic reconstruction

Neural Computation

A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots

Neural Networks

Parameter identification for a local field potential driven model of the Parkinsonian subthalamic nucleus spike activity

Neural Networks

Point-process principal components analysis via geometric optimization

Neural Computation

Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes

Journal of Computational Neuroscience

Neural encoding schemes of tactile information in afferent activity of the vibrissal system

Journal of Computational Neuroscience

Toward tractable AGI: challenges for system identification in neural circuitry

AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence

Use of the separation property to derive Liquid State Machines with enhanced classification performance

Neurocomputing

Information filtering by synchronous spikes in a neural population

Journal of Computational Neuroscience

A new supervised learning algorithm for spiking neurons

Neural Computation

Combinatorial neural codes from a mathematical coding theory perspective

Neural Computation

Quantifying neurotransmission reliability through metrics-based information analysis

Neural Computation

Spike train pattern and firing synchronization in a model of the olfactory mitral cell

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I

Encoding of stimuli in embodied neuronal networks

Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems

NeuVision: A novel simulation environment to model spontaneous and stimulus-evoked activity of large-scale neuronal networks

Neurocomputing

Neuronal assembly dynamics in supervised and unsupervised learning scenarios

Neural Computation

Synergy, redundancy, and multivariate information measures: an experimentalist's perspective

Journal of Computational Neuroscience