The Statistical Computation Underlying Contrast Gain Control
By Vincent Bonin, Valerio Mante, Matteo Carandini. 2006
88 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Matteo Carandini
- David J. Heeger
- Dario L. Ringach
- Valerio Mante
- Vincent Bonin
- B. Malone
- B. Borghuis
- D. L. Beaudoin
In Molecular Biology
- Matteo Carandini
- Vincent Bonin
- Valerio Mante
- Dario L. Ringach
- David J. Heeger
- B. Malone
- J. Demb
- Fred Henrik Hamker
Citations in the corpus
- Normalization as a canonical neural computation (2011, background): “The responses of neurons at the output of the retina (as measured in the lateral geniculate nucleus (LGN)) are characterized well by this equation, in which the normalization in the denominator corresponds to the standard deviation of contrasts over a region of the visual fiel”
- Functional mechanisms shaping lateral geniculate responses to artificial and natural stimuli. (2008, methodology): “To define the model of contrast gain control, we drew on previous work that defined and quantified a divisive ''suppressive field,'' a mechanism that computes a local measure of contrast and operates divisively on the output of the RF (Bonin et al., 2005, 2006).”
- Eye smarter than scientists believed: Neural computations in circuits of the retina (2010, unknown): “of contrast in the scene, like the time-averaged standard deviation (Bonin et al., 2006).”
- Cellular Basis for Contrast Gain Control over the Receptive Field Center of Mammalian Retinal Ganglion Cells (2007, background): “A second mechanism represents a true “gain control” and rapidly modifies the slope of the stimulus–response relationship ( 100 ms) (Shapley and Victor, 1978; Victor, 1987; Chander and Chichilnisky, 2001; Kim and Rieke, 2001; Baccus and Meister, 2002; Zaghloul et al., 2005; Bonin et al., 2006).”
- The challenges natural images pose for visual adaptation. (2009, unknown): “Bonin et al. (2006) argue that changes in higher-order statistical properties invoke little or no adaptation.”
- The Operating Point of the Cortex: Neurons as Large Deviation Detectors (2007, background): “However, in contrast to V1, the LGN nonlinearities had thresholds distributed near zero (Fig.”