Skip to content

Commit 571fbec

Browse files
authored
DOC: readme refs
1 parent 4cc3618 commit 571fbec

File tree

1 file changed

+9
-2
lines changed

1 file changed

+9
-2
lines changed

README.rst

Lines changed: 9 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -9,12 +9,12 @@ What is pymoten?
99
================
1010

1111
``pymoten`` is a python package that provides a convenient way to extract motion energy
12-
features from video using a pyramid of spatio-temporal Gabor filters. The filters
12+
features from video using a pyramid of spatio-temporal Gabor filters [1]_ [2]_. The filters
1313
are created at multiple spatial and temporal frequencies, directions of motion,
1414
x-y positions, and sizes. Each filter quadrature-pair is convolved with the
1515
video and their activation energy is computed for each frame. These features
1616
provide a good basis to model brain responses to natural movies
17-
[1]_ [2]_.
17+
[3]_ [4]_.
1818

1919

2020
Installation
@@ -93,6 +93,13 @@ Simple example using a video file
9393
References
9494
==========
9595

96+
97+
.. [1] Adelson, E. H., & Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion.
98+
Journal of the Optical Society of America A, 2(2), 284-299.
99+
100+
.. [2] Watson, A. B., & Ahumada, A. J. (1985). Model of human visual-motion sensing.
101+
Journal of the Optical Society of America A, 2(2), 322–342.
102+
96103
.. [1] Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., &
97104
Gallant, J. L. (2011). Reconstructing visual experiences from brain activity
98105
evoked by natural movies. Current Biology, 21(19), 1641-1646.

0 commit comments

Comments
 (0)