TY - JOUR
T1 - Optimal Local Estimates of Visual Motion in a Natural Environment
AU - Sinha, Shiva R.
AU - Bialek, William
AU - Van Steveninck, Rob R.De Ruyter
N1 - Publisher Copyright:
© 2021 American Physical Society. All rights reserved.
PY - 2021/1/4
Y1 - 2021/1/4
N2 - Many organisms use visual signals to estimate motion, and these estimates typically are biased. Here, we ask whether these biases may reflect physical rather than biological limitations. Using a camera-gyroscope system, we sample the joint distribution of images and rotational motions in a natural environment, and from this distribution we construct the optimal estimator of velocity based on local image intensities. Over most of the natural dynamic range, this estimator exhibits the biases observed in neural and behavioral responses. Thus, imputed errors in sensory processing may represent an optimal response to the physical signals sampled from the environment.
AB - Many organisms use visual signals to estimate motion, and these estimates typically are biased. Here, we ask whether these biases may reflect physical rather than biological limitations. Using a camera-gyroscope system, we sample the joint distribution of images and rotational motions in a natural environment, and from this distribution we construct the optimal estimator of velocity based on local image intensities. Over most of the natural dynamic range, this estimator exhibits the biases observed in neural and behavioral responses. Thus, imputed errors in sensory processing may represent an optimal response to the physical signals sampled from the environment.
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U2 - 10.1103/PhysRevLett.126.018101
DO - 10.1103/PhysRevLett.126.018101
M3 - Article
C2 - 33480762
AN - SCOPUS:85099159914
SN - 0031-9007
VL - 126
JO - Physical review letters
JF - Physical review letters
IS - 1
M1 - 018101
ER -