TY - JOUR
T1 - Contrast saturation in a neuronally-based model of elementary motion detection
AU - Rivera-Alvidrez, Zuley
AU - Higgins, Charles M.
N1 - Funding Information:
This work was partially supported by the US Air Force Office of Scientific Research through STTR contract number SC-25627-1374-03 to Physical Sciences, Inc. (Andover, MA). The authors gratefully acknowledge the assistance of Dr. John K. Douglass of the ARL Division of Neurobiology at the University of Arizona.
PY - 2005/6
Y1 - 2005/6
N2 - The Hassenstein-Reichardt (HR) correlation model is commonly used to model elementary motion detection in the fly. Recently, a neuronally-based computational model was proposed which, unlike the HR model, is based on identified neurons. The response of both models increases as the square of contrast, although the response of insect neurons saturates at high contrasts. We introduce a saturating nonlinearity into the neuronally-based model in order to produce contrast saturation and discuss the neuronal implications of these elements. Furthermore, we show that features of the contrast sensitivity of movement-detecting neurons are predicted by the modified model.
AB - The Hassenstein-Reichardt (HR) correlation model is commonly used to model elementary motion detection in the fly. Recently, a neuronally-based computational model was proposed which, unlike the HR model, is based on identified neurons. The response of both models increases as the square of contrast, although the response of insect neurons saturates at high contrasts. We introduce a saturating nonlinearity into the neuronally-based model in order to produce contrast saturation and discuss the neuronal implications of these elements. Furthermore, we show that features of the contrast sensitivity of movement-detecting neurons are predicted by the modified model.
KW - Contrast saturation
KW - Contrast sensitivity functions
KW - Elementary motion detection
KW - Fly
KW - Neuronally-based model
KW - Vision
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U2 - 10.1016/j.neucom.2004.10.102
DO - 10.1016/j.neucom.2004.10.102
M3 - Article
AN - SCOPUS:18144362139
VL - 65-66
SP - 173
EP - 179
JO - Neurocomputing
JF - Neurocomputing
SN - 0925-2312
IS - SPEC. ISS.
ER -