A Spherical Basis Function Neural Network for Modeling Auditory Space | Citedby Results | Neural Computation | MIT Press

Skip to Main Content

Skip Nav Destination

A Spherical Basis Function Neural Network for Modeling Auditory Space

Neural Computation (1996) 8 (1): 115–128.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Approximating Ocean Acoustic Fields with Finite Basis Function Series for Autonomous Vehicle Applications

Caitlin C. Bogdan
Sheryl M. Grace
J. Gregory McDaniel

Journal of Theoretical and Computational Acoustics (2020) 28 (01): 1950002.

Using Radial Basis Function Networks for Function Approximation and Classification

Yue Wu
Hui Wang
Biaobiao Zhang
K.-L. Du

ISRN Applied Mathematics (2012) 2012: 1.

Neural network modeling of central auditory dysfunction in Alzheimer’s disease

Sridhar Krishnamurti
Lyle Drake
Justin King

Neural Networks (2011) 24 (6): 646.

Headphone-Based Spatial Sound

V. Algazi
Richard Duda

IEEE Signal Processing Magazine (2011) 28 (1): 33.

Efficient Relighting of RBF-Based Illumination Adjustable Images

IEEE Transactions on Neural Networks (2009) 20 (12): 1987.

An RBF-based compression method for image-based relighting

IEEE Transactions on Image Processing (2006) 15 (4): 1031.

GPU-friendly rendering for illumination adjustable images

Tze-Yui Ho
Ping-Man Lam
Chi-Sing Leung
Tien-Tsin Wong

Signal Processing: Image Communication (2006) 21 (10): 919.

Synthesizing spatially complex sound in virtual space: an accurate offline algorithm

Gilad Jacobson
Iris Poganiatz
Israel Nelken

Journal of Neuroscience Methods (2001) 106 (1): 29.

Modeling of Auditory Spatial Receptive Fields With Spherical Approximation Functions

Rick L. Jenison
Richard A. Reale
Joseph E. Hind
John F. Brugge

Journal of Neurophysiology (1998) 80 (5): 2645.

On Acoustic Information for Motion

Rick L. Jenison

Ecological Psychology (1997) 9 (2): 131.