Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Contour Detection by Synchronization of Integrate-and-Fire Neurons

BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision

Passive dendritic integration heavily affects spiking dynamics of recurrent networks

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

Computing with populations of monotonically tuned neurons

Neural Computation

Learning and inference in the brain

Neural Networks - Special issue: Neuroinformatics

Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience

Genetic Programming and Evolvable Machines

Flexible Couplings: Diffusing Neuromodulators and Adaptive Robotics

Artificial Life

The Cocktail Party Problem

Neural Computation

Supervised Learning Through Neuronal Response Modulation

Neural Computation

On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields

Neural Computation

When response variability increases neural network robustness to synaptic noise

Neural Computation

Sequential Memory: A Putative Neural and Synaptic Dynamical Mechanism

Journal of Cognitive Neuroscience

The time course of saccadic decision making: dynamic field theory

Neural Networks - 2006 Special issue: Neurobiology of decision making

A Method for Selecting the Bin Size of a Time Histogram

Neural Computation

Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling

Neural Computation

Distortion of Neural Signals by Spike Coding

Neural Computation

A Multichip Neuromorphic System for Spike-Based Visual Information Processing

Neural Computation

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

Neural Computation

Automatic Generation of Cognitive Theories using Genetic Programming

Minds and Machines

Modeling dopamine activity by Reinforcement Learning methods: implications from two recent models

Artificial Intelligence Review

Simulating global properties of electroencephalograms with minimal random neural networks

Neurocomputing

2008 Special Issue: Some neural networks compute, others don't

Neural Networks

Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space

Neural Computation

Anatomy of a cortical simulator

Proceedings of the 2007 ACM/IEEE conference on Supercomputing

2008 Special Issue: Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection

Neural Networks

Computational analysis and learning for a biologically motivated model of boundary detection

Neurocomputing

Processing visual stimuli using hierarchical spiking neural networks

Neurocomputing

Performance evaluation of PCA-based spike sorting algorithms

Computer Methods and Programs in Biomedicine

Letters: Spike-based cross-entropy method for reconstruction

Neurocomputing

Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks

Decoding Population Neuronal Responses by Topological Clustering

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

Motion Detection Using Spiking Neural Network Model

ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence

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

Neural Computation

Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal

Neural Computation

2008 Special Issue: FIND - A unified framework for neural data analysis

Neural Networks

2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism

Neural Networks

Synapses as stochastic concurrent systems

Theoretical Computer Science

Indices for testing neural codes

Neural Computation

Learning to Attend -- From Bottom-Up to Top-Down

Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint

Spike-timing error backpropagation in theta neuron networks

Neural Computation

Persistent neural states: Stationary localized activity patterns in nonlinear continuous n-population, q-dimensional neural networks

Neural Computation

A reproducing kernel hilbert space framework for spike train signal processing

Neural Computation

Letters: The role of inhibition in central pattern generators: A simulation study

Neurocomputing

Action Recognition Using a Bio-Inspired Feedforward Spiking Network

International Journal of Computer Vision

Neural code metrics: Analysis and application to the assessment of neural models

Neurocomputing

A Scientific Perspective on the Hard Problem of Consciousness

Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference

A Recurrent Neural Network for Robotic Sensory-based Search

IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods

Generation of spike trains with controlled auto-and cross-correlation functions

Neural Computation

Estimating instantaneous irregularity of neuronal firing

Neural Computation

Reconstruction of sensory stimuli encoded with integrate-and-fire neurons with random thresholds

EURASIP Journal on Advances in Signal Processing - Special issue on statistical signal processing in neuroscience

Electrical coupling promotes fidelity of responses in the networks of model neurons

Neural Computation

Stimulus-dependent correlations and population codes

Neural Computation

Spatio-temporal adaptation in the unsupervised development of networked visual neurons

IEEE Transactions on Neural Networks

Delayed feedback control of bursting synchronization in a scale-free neuronal network

Neural Networks

Edge Detection Based on Spiking Neural Network Model

ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation

Digital Signal Processing

Temporal competitive learning induced in neural networks by spike timing-dependent plasticity

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Computational intelligence in modeling of biological neurons: a case study of an invertebrate pacemaker neuron

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Prerequisites for integrating unsupervised and reinforcement learning in a single network of spiking neurons

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

High-conductance states in a neuromorphic hardware system

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

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

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

Neural Computation

A possible mechanism of curvature coding in early vision

Neurocomputing

Simulating place field dynamics using spike timing-dependent plasticity

Neurocomputing

A software framework for tuning the dynamics of neuromorphic silicon towards biology

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

Implementing classical conditioning with spiking neurons

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

SimBa: a fuzzy similarity-based modelling framework for large-scale cerebral networks

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

Spiking neural network performs discrete cosine transform for visual images

ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications

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

Neural Computation

Reward-modulated hebbian learning of decision making

Neural Computation

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

Neural Computation

Conditional mixture model for correlated neuronal spikes

Neural Computation

On the noise-enhancing ability of stochastic hodgkin-huxley neuron systems

Neural Computation

Hebbian plasticity and homeostasis in a model of hypercolumn of the visual cortex

Neural Computation

A gene regulatory model for the development of primitive nervous systems

ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I

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

Neural Networks

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

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

Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia

Proceedings of the 12th annual conference on Genetic and evolutionary computation

How "Authentic Intentionality" can be Enabled: a Neurocomputational Hypothesis

Minds and Machines

Spectral method and high-order finite differences for the nonlinear cable equation

Neural Computation

A characterization of the time-rescaled gamma process as a model for spike trains

Journal of Computational Neuroscience

Correlation-distortion based identification of Linear-Nonlinear-Poisson models

Journal of Computational Neuroscience

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

Journal of Computational Neuroscience

A self-adapting approach for the detection of bursts and network bursts in neuronal cultures

Journal of Computational Neuroscience

Neuronal population decoding explains the change in signal detection sensitivity caused by task-irrelevant perceptual bias

Neural Computation

Segmentation and Edge Detection Based on Spiking Neural Network Model

Neural Processing Letters

Rough sets for solving classification problems in computational neuroscience

RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing

FLIPPS for the Blind: an object detector for medium distances using concerted fingertip stimulation

ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs

Internal models in the cerebellum: a coupling scheme for online and offline learning in procedural tasks

SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats

Supervised associative learning in spiking neural network

ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I

Multi-class sparse Bayesian regression for neuroimaging data analysis

MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging

A temporal coding hardware implementation for spiking neural networks

ACM SIGARCH Computer Architecture News

A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction

Neural Computation

Psychophysically tuned divisive normalization approximately factorizes the pdf of natural images

Neural Computation

Abstract stimulus-specific adaptation models

Neural Computation

A model study on the circuit mechanism underlying decision-making in Drosophila

Neural Networks

Can homeostatic plasticity in deafferented primary auditory cortex lead to travelling waves of excitation?

Journal of Computational Neuroscience

Mechanisms that modulate the transfer of spiking correlations

Neural Computation

2011 Special Issue: Are computational models of any use to psychiatry?

Neural Networks

2011 Special Issue: A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations

Neural Networks

Insights from a simple expression for linear fisher information in a recurrently connected population of spiking neurons

Neural Computation

Spiking neurons and the first passage problem

Neural Computation

Spike-timing-dependent plasticity and reliability optimization: The role of neuron dynamics

Neural Computation

Signal propagation in feedforward neuronal networks with unreliable synapses

Journal of Computational Neuroscience

A survey of signal propagation in feedforward neuronal networks

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I

2011 Special Issue: Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units

Neural Networks

Multiclass sparse Bayesian regression for fMRI-based prediction

Journal of Biomedical Imaging - Special issue on Machine Learning in Medical Imaging

On the use of interaction error potentials for adaptive brain computer interfaces

Neural Networks

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

Neurocomputing

A systematic method for configuring vlsi networks of spiking neurons

Neural Computation

Characterization of minimum error linear coding with sensory and neural noise

Neural Computation

A general likelihood framework for characterizing the time course of neural activity

Neural Computation

A low-order model of biological neural networks

Neural Computation

Motoneuron membrane potentials follow a time inhomogeneous jump diffusion process

Journal of Computational Neuroscience

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

Journal of Computational Neuroscience

Novel treatment strategies for neurodegenerative diseases based on RF exposure

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies

Neuronal coding strategies for two-alternative forced choice tasks

ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I

An unsupervised learning rule for class discrimination in a recurrent neural network

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I

Neural mass activity, bifurcations, and epilepsy

Neural Computation

Adaptive co-ordinate transformation based on a spike timing-dependent plasticity learning paradigm

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

Learning algorithm for spiking neural networks

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

Feedback effects in simulated stein's coupled neurons

EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory

A supervised clustering approach for fMRI-based inference of brain states

Pattern Recognition

A novel approach for the implementation of large scale spiking neural networks on FPGA hardware

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

Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics

Journal of Computational Neuroscience

What can be inferred from multiple-task psychophysical studies about the mechanisms for temporal processing?

COST'10 Proceedings of the 2010 international conference on Multidisciplinary Aspects of Time and Time Perception

Dynamic state and parameter estimation applied to neuromorphic systems

Neural Computation

The faithful copy neuron

Journal of Computational Neuroscience

Strictly positive-definite spike train kernels for point-process divergences

Neural Computation

Hebbian learning of recurrent connections: A geometrical perspective

Neural Computation

Moving target detection and classification using spiking neural networks

IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering

The neuron's modeling methods based on neurodynamics

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I

Multivoxel pattern analysis using information-preserving EMD

IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning

Scalable communications for a million-core neural processing architecture

Journal of Parallel and Distributed Computing

The effects of induction electric field on sensitivity of firing rate in a single-compartment neuron model

Neurocomputing

A network of spiking neurons for computing sparse representations in an energy-efficient way

Neural Computation

Adaptive classification on brain-computer interfaces using reinforcement signals

Neural Computation

Incremental slow feature analysis: Adaptive low-complexity slow feature updating from high-dimensional input streams

Neural Computation

The Explanatory Role of Computation in Cognitive Science

Minds and Machines

Low complexity proto-value function learning from sensory observations with incremental slow feature analysis

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II

Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neurons

Neural Computation

Characterisation of information flow in an izhikevich network

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I

A spiking neural model for stable reinforcement of synapses based on multiple distal rewards

Neural Computation

A radial basis function spike model for indirect learning via integrate-and-fire sampling and reconstruction techniques

Advances in Artificial Neural Systems - Special issue on Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine

2013 Special Issue: Intrinsically motivated action-outcome learning and goal-based action recall: A system-level bio-constrained computational model

Neural Networks

2013 Special Issue: A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning

Neural Networks

New supervised learning theory applied to cerebellar modeling for suppression of variability of saccade end points

Neural Computation

Mental imagery in the navigation domain: a computational model of sensory-motor simulation mechanisms

Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems

Storing cycles in Hopfield-type networks with pseudoinverse learning rule: Admissibility and network topology

Neural Networks

Neuronal assembly dynamics in supervised and unsupervised learning scenarios

Neural Computation

SpiNNaker: Fault tolerance in a power- and area- constrained large-scale neuromimetic architecture

Parallel Computing

Lyapunov exponents computation for hybrid neurons

Journal of Computational Neuroscience

Mimicking human neuronal pathways in silico: an emergent model on the effective connectivity

Journal of Computational Neuroscience

Modeling response properties of V2 neurons using a hierarchical K-means model

Neurocomputing