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Urai AE & Wimmer K (2016). Spatiotemporal motion energy filtering: a Matlab implementation.

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Urai AE & Wimmer K (2016). Spatiotemporal motion energy filtering: a Matlab implementation. Zenodo, http://doi.org/10.5281/zenodo.594505.

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Implements motion energy filtering as described in Adelson & Bergen (1985), on 3D moving dot stimuli as done in Kiani et al. (2008) and others. See tutorial.m for explanation of how to use the code.

See also these excellent tutorials on the 2D equivalent of these filters

And see this version from the Gallant lab, which includes filtering over a color dimension:

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. If you use the Software for your own research, cite the paper.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Anne Urai and Klaus Wimmer, 2016
anne.urai@gmail.com / kwimmer@clinic.ub.es

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Urai AE & Wimmer K (2016). Spatiotemporal motion energy filtering: a Matlab implementation.

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