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The Colour of Noise
Andrew Doyle @crocodoyle
McGill Centre for
Integrative Neuroscience
Outline
1. Colours
2. Dithering
3. Noise
4. Colours of Noise
5. Where is Good Noise?
Colours
Above and Beyond. “Common Ground.” Anjuna Beats, 2018.
Colours
Stockman, MacLeod & Johnson. “Simplified human cone response
curves” Journal of the Optical Society of America. 1993.
Wavelength (nm)
Response
Colours
Adobe Systems Inc. “Adobe RGB (1998) Color Image Encoding”.
May 2005.
Colours
Adobe Systems Inc. “Adobe RGB (1998) Color Image Encoding”.
May 2005.
Dithering
Doyle, JA, Evans, AC. “What Colour is Neural Noise?” Cognitive
Computational Neuroscience, 2018. (under review)
colours gray ramp
Floyd-Steinberg (1976)
Dithering
Noise
𝑦 𝑡 = 𝑥 𝑡 + ε
measurement signal noise
Noise
Noise
Noise
Noise
Noise
Noise
Noise + Dithering
Noise
Aliasing
Ghosh, S. “Aliasing”.
https://nbviewer.jupyter.org/urls/dl.dropbox.com/s/s0nw827nc4kcnaa/
Aliasing.ipynb, 2018.
Original
Aliasing
Subsampled Anti-aliased
https://nbviewer.jupyter.org/urls/dl.dropbox.com/s/s0nw827nc4kcnaa/
Aliasing.ipynb
Assigning a colour to noise means:
1. Amplitude is Gaussian distributed
2. Particular Power Spectral Density (PSD)
Colours of Noise
Colours of Noise
What colourDoyle, JA, Evans, AC. “What Colour is Neural Noise?” Cognitive
Computational Neuroscience, 2018. (under review)
Doyle, JA, Evans, AC. “What Colour is Neural Noise?” Cognitive
Computational Neuroscience, 2018. (under review)
Colours of Noise
Colours of Noise
Colour Power Spectral Distribution
Black 1/𝑓 𝛼, 𝛼 > 2
Gray
121942
⋅ 𝑓4
𝑓2 + 20.62 √(𝑓2 + 737.92)(𝑓2 + 121942)
Brown 1/𝑓2
Orange musical notes removed
Red 1/𝑓2
Pink 1/𝑓
White 𝑐
Green 1/𝑓2
or 𝑐
Blue 𝑓
Violet 𝑓2
Pink Noise
Yukti, S. “Action Potential Animal Systems”. SlideShare.
slideshare.net/dryuktisharma/action-potentials-animal-systems. 2014.
1
𝑓
Pink Noise
Gao, R. “Interpreting the Electrophysiological Power
Spectrum”. Journal of Neurophysiology, 2015.
1
𝑓
ECoG
Pink Noise
Pritchard, Walter S. "The brain in fractal time: 1/f-like power spectrum
scaling of the human electroencephalogram." International Journal of
Neuroscience 66.1-2 (1992): 119-129.
EEG
1
𝑓
Pink Noise
Zhou, Junhong, et al. "Pink noise: effect on complexity
synchronization of brain activity and sleep consolidation." Journal of
theoretical biology 306 (2012): 68-72
1
𝑓
Stochastic Facilitation
with audio
Blue Noise
𝑓
Mitsa, Theophano, and Kevin J. Parker. "Digital halftoning technique
using a blue-noise mask." JOSA A 9.11 (1992)
Blue Noise
Yellott, John I. "Spectral consequences of photoreceptor sampling in
the rhesus retina." Science 221.4608 (1983): 382-385.
Blue Noise
Yellott, John I. "Spectral consequences of photoreceptor sampling in
the rhesus retina." Science 221.4608 (1983): 382-385.
Blue Noise
Yellott, John I. "Spectral consequences of photoreceptor sampling in
the rhesus retina." Science 221.4608 (1983): 382-385.
Blue Noise
Georgiev, I et al. “Blue-noise Dithered Sampling.” SIGGRAPH, 2016.
𝑓
Gizmodo
Noise in Vision
Kuriki,Ichiro,etal."FunctionalbrainimagingoftheRotating
SnakesillusionbyfMRI."Journalofvision8.10(2008):16-16.
Signals and Noise
𝑦 𝑡 = 𝑥 𝑡 + ε
𝑦 𝑡 = 𝑋 𝑡 + ε
deterministic
random / stochastic / noise / variable
Signals and Noise
𝑦 𝑡 = 𝑥 𝑡 + ε
𝑦 𝑡 = 𝑥 𝑡 + gn(t) + ε
deterministic
Signals and Noise
𝑦 𝑡 = 𝑥 𝑡 + ε
𝑦 𝑡 = 𝑥 𝑡, 𝑔𝑛 + gn(t) + ε
deterministic
Where to Look
Measuring Noise
1. Variance
2. Number of PCA components
3. Multiscale Entropy (MSE)
McIntosh, Anthony R., et al. "The development of a noisy
brain." Archives italiennes de biologie 148.3 (2010): 323-337.
Distraction
Cohen, Marlene R., and John HR Maunsell. "Attention improves
performance primarily by reducing interneuronal
correlations." Nature neuroscience 12.12 (2009): 1594.
Experiments
fMRI
PyBIDS
Gorgolewski, Krzysztof J., et al. "A test-retest fMRI dataset for motor,
language and spatial attention functions." GigaScience2.1 (2013): 6.
EEG
Noise & Stability
Halley, John M., and Pablo Inchausti. "The increasing importance of
1/f-noises as models of ecological variability." Fluctuation and Noise
Letters 4.02 (2004): R1-R26.
Conclusion
https://github.com/crocodoyle/good-noise
Conclusion
Conclusion

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The Colour of Noise