Jianfeng Feng

CoRR, 2024

fMRI-3D: A Comprehensive Dataset for Enhancing fMRI-based 3D Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2024

Automating the Diagnosis of Human Vision Disorders by Cross-modal 3D Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Towards free-response paradigm: a theory on decision-making in spiking neural networks.

[BibT_eX]

[DOI]

CoRR, 2024

Decoding Continuous Character-based Language from Non-invasive Brain Recordings.

[BibT_eX]

[DOI]

CoRR, 2024

Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry.

[BibT_eX]

[DOI]

CoRR, 2024

Learn to integrate parts for whole through correlated neural variability.

[BibT_eX]

[DOI]

CoRR, 2024

Mitigating critical nodes in brain simulations via edge removal.

[BibT_eX]

[DOI]

Comput. Networks, 2024

DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Combinatorial Optimization via Heat Diffusion.

[BibT_eX]

[DOI]

Hengyuan Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

MinD-3D: Reconstruct High-Quality 3D Objects in Human Brain.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Simulating the whole brain as an alternative way to achieve AGI.

[BibT_eX]

[DOI]

Quant. Biol., December, 2023

Fractionation of neural reward processing into independent components by novel decoding principle.

[BibT_eX]

[DOI]

NeuroImage, December, 2023

Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes.

[BibT_eX]

[DOI]

Neural Comput., November, 2023

DTBVis: An interactive visual comparison system for digital twin brain and human brain.

[BibT_eX]

[DOI]

Vis. Informatics, June, 2023

MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, April, 2023

Clustering by the Probability Distributions From Extreme Value Theory.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., April, 2023

Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders.

[BibT_eX]

[DOI]

NeuroImage, April, 2023

Rethinking Local and Global Feature Representation for Dense Prediction.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Controlling brain dynamics: Landscape and transition path for working memory.

[BibT_eX]

[DOI]

Leijun Ye

Chunhe Li

PLoS Comput. Biol., 2023

HiFi-Syn: Hierarchical Granularity Discrimination for High-Fidelity Synthesis of MR Images with Structure Preservation.

[BibT_eX]

[DOI]

CoRR, 2023

fMRI-PTE: A Large-scale fMRI Pretrained Transformer Encoder for Multi-Subject Brain Activity Decoding.

[BibT_eX]

[DOI]

CoRR, 2023

Digital Twin Brain: a simulation and assimilation platform for whole human brain.

[BibT_eX]

[DOI]

CoRR, 2023

Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification.

[BibT_eX]

[DOI]

CoRR, 2023

Toward spike-based stochastic neural computing.

[BibT_eX]

[DOI]

CoRR, 2023

Semantic Neural Decoding via Cross-Modal Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Preconditioned Score-based Generative Models.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Visual Exploration and Planning of the Automated Material Handling System for Smart Factory in the Immersive Environment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Learning Effective Global Receptive Field for Facial Expression Recognition.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

2022

SGM3D: Stereo Guided Monocular 3D Object Detection.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

AGO-Net: Association-Guided 3D Point Cloud Object Detection Network.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

GaitSet: Cross-View Gait Recognition Through Utilizing Gait As a Deep Set.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Analytic Investigation for Synchronous Firing Patterns Propagation in Spiking Neural Networks.

[BibT_eX]

[DOI]

Neural Process. Lett., 2022

Risk-taking in humans and the medial orbitofrontal cortex reward system.

[BibT_eX]

[DOI]

NeuroImage, 2022

The human language effective connectome.

[BibT_eX]

[DOI]

NeuroImage, 2022

A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies.

[BibT_eX]

[DOI]

NeuroImage, 2022

A Low-Latency Communication Design for Brain Simulations.

[BibT_eX]

[DOI]

IEEE Netw., 2022

The devil is in the face: Exploiting harmonious representations for facial expression recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Softmax-free Linear Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Accelerating Score-based Generative Models for High-Resolution Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Regularizing Sparse and Imbalanced Communications for Voxel-based Brain Simulations on Supercomputers.

[BibT_eX]

[DOI]

Proceedings of the 51st International Conference on Parallel Processing, 2022

Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Wiener Causality Defined by Divergence.

[BibT_eX]

[DOI]

Junya Chen

Neural Process. Lett., 2021

Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age.

[BibT_eX]

[DOI]

NeuroImage, 2021

Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2021

SGM3D: Stereo Guided Monocular 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

International Workshop on Applications of Probability and Statistics to Biology, July 11-13, 2019.

[BibT_eX]

[DOI]

Quant. Biol., 2020

Sensation-seeking is related to functional connectivities of the medial orbitofrontal cortex with the anterior cingulate cortex.

[BibT_eX]

[DOI]

NeuroImage, 2020

Automated anatomical labelling atlas 3.

[BibT_eX]

[DOI]

NeuroImage, 2020

3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Monocular 3D Object Detection via Feature Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A powerful and efficient multivariate approach for voxel-level connectome-wide association studies.

[BibT_eX]

[DOI]

NeuroImage, 2019

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.

[BibT_eX]

[DOI]

Bioinform., 2019

On Fenchel Mini-Max Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Neural and genetic determinants of creativity.

[BibT_eX]

[DOI]

NeuroImage, 2018

Statistical testing and power analysis for brain-wide association study.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

A Wiener Causality Defined by Relative Entropy.

[BibT_eX]

[DOI]

Junya Chen

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Chi-square Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Dual Skipping Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.

[BibT_eX]

[DOI]

Chenyang Tao

Thomas E. Nichols

Xue Hua

Christopher R. K. Ching

Edmund T. Rolls

Paul M. Thompson

NeuroImage, 2017

Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis.

[BibT_eX]

[DOI]

NeuroImage, 2017

Canonical kernel dimension reduction.

[BibT_eX]

[DOI]

Chenyang Tao

Comput. Stat. Data Anal., 2017

Left-Right Skip-DenseNets for Coarse-to-Fine Object Categorization.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Using real-time fMRI to influence effective connectivity in the developing emotion regulation network.

[BibT_eX]

[DOI]

NeuroImage, 2016

Comparing data assimilation filters for parameter estimation in a neuron model.

[BibT_eX]

[DOI]

Nicola Politi

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization.

[BibT_eX]

[DOI]

Chenyang Tao

Wei Lin

Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

2013

Imaging genetics - towards discovery neuroscience.

[BibT_eX]

[DOI]

Gunter Schumann

Quant. Biol., 2013

Attention-Dependent Modulation of Cortical Taste Circuits Revealed by Granger Causality with Signal-Dependent Noise.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2013

Spatio-temporal Granger causality: A new framework.

[BibT_eX]

[DOI]

NeuroImage, 2013

Neuronal Synfire Chain via Moment Neuronal Network Approach.

[BibT_eX]

[DOI]

Xiangnan He

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

On the Spectral Characterization and Scalable Mining of Network Communities.

[BibT_eX]

[DOI]

Bo Yang

Jiming Liu

IEEE Trans. Knowl. Data Eng., 2012

Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems.

[BibT_eX]

[DOI]

Wei Lin

IEEE Trans. Autom. Control., 2012

A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons.

[BibT_eX]

[DOI]

Dimitrios V. Vavoulis

Volko A. Straub

John A. D. Aston

PLoS Comput. Biol., 2012

Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures.

[BibT_eX]

[DOI]

NeuroImage, 2012

Componential Granger causality, and its application to identifying the source and mechanisms of the top-down biased activation that controls attention to affective vs sensory processing.

[BibT_eX]

[DOI]

NeuroImage, 2012

2011

A Dynamical Model Reveals Gene Co-Localizations in Nucleus.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2011

Granger causality with signal-dependent noise.

[BibT_eX]

[DOI]

Qiang Luo

NeuroImage, 2011

Granger Causality: Its Foundation and Applications in Systems Biology.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Research on Computational and Systems Biology, 2011

2010

Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2010

On a Gaussian neuronal field model.

[BibT_eX]

[DOI]

Enrico Rossoni

NeuroImage, 2010

Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Controlling precise movement with stochastic signals.

[BibT_eX]

[DOI]

Enrico Rossoni

Jing Kang

Biol. Cybern., 2010

On Gaussian random neuronal field model: Moment neuronal network approach.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Find synaptic topology from spike trains.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Voxel Selection in fMRI Data Analysis Based on Sparse Representation.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2009

A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning.

[BibT_eX]

[DOI]

Keith M. Kendrick

PLoS Comput. Biol., 2009

Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution.

[BibT_eX]

[DOI]

Neural Comput., 2009

Impact of environmental inputs on reverse-engineering approach to network structures.

[BibT_eX]

[DOI]

Jianhua Wu

James L. Sinfield

Vicky Buchanan-Wollaston

BMC Syst. Biol., 2009

Granger causality vs. dynamic Bayesian network inference: a comparative study.

[BibT_eX]

[DOI]

Cunlu Zou

BMC Bioinform., 2009

Granger causality vs. dynamic Bayesian network inference: a comparative study.

[BibT_eX]

[DOI]

Cunlu Zou

Katherine J. Denby

BMC Bioinform., 2009

Filtering noise for synchronised activity in multi-trial electrophysiology data using Wiener and Kalman filters.

[BibT_eX]

[DOI]

Biosyst., 2009

2008

Training Spiking Neuronal Networks With Applications in Engineering Tasks.

[BibT_eX]

[DOI]

Phill Rowcliffe

IEEE Trans. Neural Networks, 2008

Emergent Synchronous Bursting of Oxytocin Neuronal Network.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2008

Uncovering Interactions in the Frequency Domain.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2008

A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data.

[BibT_eX]

[DOI]

Cong Zhou

Lucas D. Bowler

BMC Bioinform., 2008

On Modularity of Social Network Communities: The Spectral Characterization.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

2007

A Geometrical Method to Improve Performance of the Support Vector Machine.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

Optimal movement control models of Langevin and Hamiltonian types.

[BibT_eX]

[DOI]

Math. Comput. Model., 2007

Revealing the dynamic causal interdependence between neural and muscular signals in Parkinsonian tremor.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2007

A novel approach to detect hot-spots in large-scale multivariate data.

[BibT_eX]

[DOI]

Jianhua Wu

Keith M. Kendrick

BMC Bioinform., 2007

Decoding spike train ensembles: tracking a moving stimulus.

[BibT_eX]

[DOI]

Enrico Rossoni

Biol. Cybern., 2007

2006

Spiking perceptrons.

[BibT_eX]

[DOI]

Phill Rowcliffe

IEEE Trans. Neural Networks, 2006

Population approach to a neural discrimination task.

[BibT_eX]

[DOI]

Benoît Gaillard

Biol. Cybern., 2006

Negatively correlated firing: the functional meaning of lateral inhibition within cortical columns.

[BibT_eX]

[DOI]

Simon Durrant

Biol. Cybern., 2006

The Ideal Noisy Environment for Fast Neural Computation.

[BibT_eX]

[DOI]

Si Wu

Shun-ichi Amari

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

Cue-guided search: a computational model of selective attention.

[BibT_eX]

[DOI]

KangWoo Lee

IEEE Trans. Neural Networks, 2005

Impact of temperature and pH value on the stability of hGHRH: An MD approach<sup>, </sup>.

[BibT_eX]

[DOI]

Enrico Ferraro

Math. Comput. Model., 2005

Scaling the Kernel Function to Improve Performance of the Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

Decoding Input Signals in Time Domain - A Model Approach.

[BibT_eX]

[DOI]

J. Comput. Neurosci., 2004

Stimulus-evoked synchronization in neuronal models.

[BibT_eX]

[DOI]

Guibin Li

Neurocomputing, 2004

Is partial coherence a viable technique for identifying generators of neural oscillations?

[BibT_eX]

[DOI]

Zimbul Albo

Gonzalo Viana Di Prisco

Biol. Cybern., 2004

2003

Temporal album.

[BibT_eX]

[DOI]

Eleni Vasilaki

IEEE Trans. Neural Networks, 2003

Training integrate-and-fire neurons with the Informax principle II.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2003

The Minimum-Variance Theory Revisited.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002

Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis.

[BibT_eX]

[DOI]

Guibin Li

Neural Comput., 2002

Ideal observer of single neuron activity.

[BibT_eX]

[DOI]

Ping Zhang

Neurocomputing, 2002

Training neuron models with the Informax principle.

[BibT_eX]

[DOI]

Neurocomputing, 2002

Clustering within Integrate-and-Fire Neurons for Image Segmentation.

[BibT_eX]

[DOI]

Phill Rowcliffe

Proceedings of the Artificial Neural Networks, 2002

2001

The generalization error of the symmetric and scaled support vector machines.

[BibT_eX]

[DOI]

Peter Williams

IEEE Trans. Neural Networks, 2001

Is the integrate-and-fire model good enough?--a review.

[BibT_eX]

[DOI]

Neural Networks, 2001

Behaviour of two-compartment models.

[BibT_eX]

[DOI]

Guibin Li

Neurocomputing, 2001

Inhibitory inputs increase a neurons's firing rate.

[BibT_eX]

[DOI]

Neurocomputing, 2001

Spike synchronization in a biophysically-detailed model of the olfactory bulb.

[BibT_eX]

[DOI]

Andrew P. Davison

Neurocomputing, 2001

Significance of random neuronal drive.

[BibT_eX]

[DOI]

Neurocomputing, 2001

Non-symmetric Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Connectionist Models of Neurons, 2001

Neuronal Models with Current Inputs.

[BibT_eX]

[DOI]

Proceedings of the Connectionist Models of Neurons, 2001

2000

Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model.

[BibT_eX]

[DOI]

Neural Comput., 2000

Synchronization driven by correlated inputs.

[BibT_eX]

[DOI]

Neurocomputing, 2000

Random pulse input versus continuous current plus white noise: Are they equivalent?

[BibT_eX]

[DOI]

Neurocomputing, 2000

Low correlation between random synaptic inputs impacts considerably on the output of the Hodgkin-Huxley model.

[BibT_eX]

[DOI]

Neurocomputing, 2000

1999

Origin of firing varibility of the integrate-and-fire model.

[BibT_eX]

[DOI]

Neurocomputing, 1999

Is there a problem matching real and model CV(ISI)?

[BibT_eX]

[DOI]

Neurocomputing, 1999

Coefficient of variation of interspike intervals greater than 0.5. How and when?

[BibT_eX]

[DOI]

Biol. Cybern., 1999

Estimating Exact Form of Generalisation Errors.

[BibT_eX]

[DOI]

Proceedings of the Foundations and Tools for Neural Modeling, 1999

Integrate-and-Fire Model with Correlated Inputs.

[BibT_eX]

[DOI]

Proceedings of the Foundations and Tools for Neural Modeling, 1999

Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model.

[BibT_eX]

[DOI]

Proceedings of the Foundations and Tools for Neural Modeling, 1999

Structure of Lateral Inhibition in an Olfactory Bulb Model.

[BibT_eX]

[DOI]

Andrew P. Davison

Proceedings of the Foundations and Tools for Neural Modeling, 1999

Effects of Correlation and Degree of Balance in Random Synaptic Inputs on the Output of the Hodgkin-Huxley Model.

[BibT_eX]

[DOI]

Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998

Fixed Point Attractor Analysis for a Class of Neurodynamics.

[BibT_eX]

[DOI]

Neural Comput., 1998

Impact of temporal variation and the balance between excitation and inhibition on the output of the perfect integrate-and-fire model.

[BibT_eX]

[DOI]

Biol. Cybern., 1998

Output jitter diverges to infinity, converges to zero or remains constant.

[BibT_eX]

[DOI]

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

What is observable in a class of neurodynamics?

[BibT_eX]

[DOI]

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997

Linsker-type Hebbian Learning: A Qualitative Analysis on the Parameter Space.

[BibT_eX]

[DOI]

Vwani P. Roychowdhury

Neural Networks, 1997

Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics.

[BibT_eX]

[DOI]

Neural Comput., 1997

A discrete version of the dynamic link network.

[BibT_eX]

[DOI]

Neurocomputing, 1997

Convergence theorems for a class of learning algorithms with VLRPs.

[BibT_eX]

[DOI]

Neurocomputing, 1997

Viewing a Class of Neurodynamics on Parameter Space.

[BibT_eX]

[DOI]

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1996

A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics.

[BibT_eX]

[DOI]

Neural Process. Lett., 1996

On Neurodynamics with Limiter Function and Linsker's Developmental Model.

[BibT_eX]

[DOI]

Vwani P. Roychowdhury

Neural Comput., 1996

1995

Establishment of topological maps - a model study.

[BibT_eX]

[DOI]

Neural Process. Lett., 1995

An Application of the Saturated Attractor Analysis to Three Typical Models.

[BibT_eX]

[DOI]

Proceedings of the From Natural to Artificial Neural Computation, 1995

1994

A Rigorous Analysis of Linsker-Type Hebbian Learning.

[BibT_eX]

[DOI]

Vwani P. Roychowdhury

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Analysis of Linsker-type Hebbian learning: rigorous results.

[BibT_eX]

[DOI]