Marc Van Hulle

Articles in Scholarly Journals [Incomplete List]

  1. fMRI bold signal analysis using a novel nonparametric statistical method
    Journal of Magnetic Resonance, vol. 185, no. 1, pp. 138–151, 2007
  2. Optimal instantaneous rigid motion estimation insensitive to local minima
    Computer Vision and Image Understanding, vol. 104, no. 1, pp. 77–86, 2006
  3. Topographic map formation of factorized Edgeworth-expanded kernels
    Neural Networks, vol. 19, no. 6-7, pp. 744–750, 2006
  4. Editorial: ECOVISION: Challenges in Early-Cognitive Vision
    International Journal of Computer Vision, vol. 72, no. 1, pp. 5–7, 2006
  5. Fixation as a Mechanism for Stabilization of Short Image Sequences
    International Journal of Computer Vision, vol. 72, no. 1, pp. 67–78, 2006
  6. Batch Map Extensions of the Kernel-Based Maximum Entropy Learning Rule
    IEEE Transactions on Neural Networks, vol. 17, no. 2, pp. 529–532, 2006
  7. Sperm transfer during mating in the pharaoh's ant, Monomorium pharaonis
    Physiological Entomology, vol. 31, no. 3, pp. 294–298, 2006
  8. Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures
    Neural Computation, vol. 18, no. 2, pp. 430–445, 2006
  9. Maximum Likelihood Topographic Map Formation
    Neural Computation, vol. 17, no. 3, pp. 503–513, 2005
  10. Edgeworth-Expanded Gaussian Mixture Density Modeling
    Neural Computation, vol. 17, no. 8, pp. 1706–1714, 2005
  11. Edgeworth Approximation of Multivariate Differential Entropy
    Neural Computation, vol. 17, no. 9, pp. 1903–1910, 2005
  12. Estimating the global order of the fMRI noise model
    NeuroImage, vol. 26, no. 4, pp. 1211–1217, 2005
  13. Neural Networks in Signal Processing
    Neurocomputing, vol. 69, no. 1-3, pp. 1–2, 2005
  14. Mixture density modeling, Kullback?Leibler divergence, and differential log-likelihood
    Signal Processing, vol. 85, no. 5, pp. 951–963, 2005
  15. Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing
    Natural Computing, vol. 3, no. 3, pp. 293–321, 2004
  16. Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes
    The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology, vol. 37, no. 2/3, pp. 211–222, 2004
  17. The delay vector variance method for detecting determinism and nonlinearity in time series
    Physica D: Nonlinear Phenomena, vol. 190, no. 3-4, pp. 167–176, 2004
  18. Optimal spatial regularisation of autocorrelation estimates in fMRI analysis
    NeuroImage, vol. 23, no. 3, pp. 1203–1216, 2004
  19. A Novel Method for Determining the Nature of Time Series
    IEEE Transactions on Biomedical Engineering, vol. 51, no. 5, pp. 728–736, 2004
  20. Entropy-Based Kernel Mixture Modeling for Topographic Map Formation
    IEEE Transactions on Neural Networks, vol. 15, no. 4, pp. 850–858, 2004
  21. Signal nonlinearity in fMRI: a comparison between BOLD and MION
    IEEE Transactions on Medical Imaging, vol. 22, no. 5, pp. 636–644, 2003
  22. Scientometrics, vol. 56, no. 1, pp. 147–160, 2003
  23. Indications of nonlinear structures in brain electrical activity
    Physical Review E, vol. 67, no. 4, 2003
  24. The Journal of VLSI Signal Processing, vol. 31, no. 1, pp. 19–30, 2002
  25. The Journal of VLSI Signal Processing, vol. 32, no. 1/2, pp. 5–6, 2002
  26. The Journal of VLSI Signal Processing, vol. 32, no. 1/2, pp. 119–134, 2002
  27. Kernel-based topographic map formation achieved with an information-theoretic approach
    Neural Networks, vol. 15, no. 8-9, pp. 1029–1039, 2002
  28. A phase-based approach to the estimation of the optical flow field using spatial filtering
    IEEE Transactions on Neural Networks, vol. 13, no. 5, pp. 1127–1136, 2002
  29. Kernel-Based Topographic Map Formation by Local Density Modeling
    Neural Computation, vol. 14, no. 7, pp. 1561–1573, 2002
  30. Joint Entropy Maximization in Kernel-Based Topographic Maps
    Neural Computation, vol. 14, no. 8, pp. 1887–1906, 2002
  31. Encoding of Categories by Noncategory-Specific Neurons in the Inferior Temporal Cortex
    Journal of Cognitive Neuroscience, vol. 13, no. 2, pp. 190–200, 2001
  32. Function of center-surround antagonism for motion in visual area MT/V5: a modeling study
    Vision Research, vol. 41, no. 28, pp. 3917–3930, 2001
  33. The Journal of VLSI Signal Processing, vol. 26, no. 1/2, pp. 79–94, 2000
  34. Density-based clustering with topographic maps
    IEEE Transactions on Neural Networks, vol. 10, no. 1, pp. 204–207, 1999
  35. Faithful representations with topographic maps
    Neural Networks, vol. 12, no. 6, pp. 803–823, 1999
  36. Neural Processing Letters, vol. 10, no. 2, pp. 131–137, 1999
  37. The Journal of VLSI Signal Processing, vol. 18, no. 3, pp. 275–285, 1998
  38. Neural Processing Letters, vol. 8, no. 2, pp. 181–192, 1998
  39. Kernel-Based Equiprobabilistic Topographic Map Formation
    Neural Computation, vol. 10, no. 7, pp. 1847–1871, 1998
  40. Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion
    Neural Computation, vol. 10, no. 2, pp. 295–312, 1998
  41. The Formation of Topographic Maps That Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals
    Neural Computation, vol. 9, no. 3, pp. 595–606, 1997
  42. Nonparametric regression analysis achieved with topographic maps developed in combination with projection pursuit learning: an application to density estimation and adaptive filtering of grey-scale images
    IEEE Transactions on Signal Processing, vol. 45, no. 11, pp. 2663–2672, 1997
  43. Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule
    Neural Networks, vol. 10, no. 3, pp. 431–446, 1997
  44. Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs
    Biological Cybernetics, vol. 77, no. 1, pp. 49–61, 1997
  45. Combining topographic map formation with projection pursuit learning for nonparametric regression analysis
    Neural Processing Letters, vol. 4, no. 2, pp. 97–105, 1996
  46. Topographic map formation by maximizing unconditional entropy: a plausible strategy for "online" unsupervised competitive learning and nonparametric density estimation
    IEEE Transactions on Neural Networks, vol. 7, no. 5, pp. 1299–1305, 1996
  47. Shape and Spatial Distribution of Receptive Fields and Antagonistic Motion Surrounds in the Middle Temporal Area (V5) of the Macaque
    European Journal of Neuroscience, vol. 7, no. 10, pp. 2064–2082, 1995
  48. Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization
    Neural Networks, vol. 8, no. 6, pp. 891–900, 1995
  49. Massive MIMD neural network simulations: The connections dilemma
    Concurrency: Practice and Experience, vol. 6, no. 3, pp. 153–191, 1994
  50. On a novel unsupervised competitive learning algorithm for scalar quantization
    IEEE Transactions on Neural Networks, vol. 5, no. 3, pp. 498–501, 1994
  51. A modular artificial neural network for texture processing
    Neural Networks, vol. 6, no. 1, pp. 7–32, 1993
  52. Parallel implementation and capabilities of entropy-driven artificial neural networks
    Journal of Parallel and Distributed Computing, vol. 14, no. 3, pp. 286–305, 1992
  53. Representation and processing in a stochastic neural network: An integrated approach
    Neural Networks, vol. 4, no. 5, pp. 643–655, 1991
  54. A goal programming network for linear programming
    Biological Cybernetics, vol. 65, no. 4, pp. 243–252, 1991
  55. Entropy driven Artificial Neuronal Networks and sensorial representation: A proposal
    Journal of Parallel and Distributed Computing, vol. 6, no. 2, pp. 264–290, 1989