Striate cortex of monkey and cat: contrast response function.
By D. G. Albrecht, D. B. Hamilton. 1982
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Matteo Carandini
- David J. Heeger
- J. Urgen Schmidhuber
- Yoshua Bengio
- Thomas Serre
- John H. Reynolds
- Nikolaus Kriegeskorte
- Tomaso A. Poggio
Citations in the corpus
- The role of fixational eye movements in visual perception (2004, background): “Changes in contrast can be encoded as changes in the latency of neuronal response”
- GABAA inhibition controls response gain in visual cortex (2011, unknown): “Contrast responses were fitted with the hyperbolic ratio function (Albrecht and Hamilton, 1982):”
- Modeling simple-cell direction selectivity with normalized, half-squared, linear operators. (1993, background): “…of nonpreferred direction of motion, nonoptimal orientation, nonoptimal spatial or temporal frequency, and for stimuli in the nondominant eye ( Albrecht and Hamilton 1982; Dean 1980, Some have interpreted these results as demonstrating that saturation of the contrast-response curve is already…”
- Shunting inhibition modulates neuronal gain during synaptic excitation. (2003, background): “…direction selecthe gain and shifts the offset of cerebellar granule cell tively to motion (Sillito, 1977; Wyatt and Daw, 1975) and input-output relationships during frequency-depen- gain normalization (Albrecht and Hamilton, 1982; Bonds, dent excitation with synaptic conductance waveforms.”
- Parvalbumin-Expressing Interneurons Linearly Transform Cortical Responses to Visual Stimuli (2012, methodology): “Contrast-response curves were fit with the hyperbolic ratio equation (Albrecht and Hamilton, 1982): R(C) = Rmax c n / (C50 n + cn) + Roffset, where c is contrast, C50 is the semisaturation contrast, and n is a fitting exponent that describes the shape of the curve, Rmax determines the gain, and…”
- Complex dynamics of V1 population responses explained by a simple gain-control model (2009, unknown): “Third, the tuning of single neurons is typically invariant with contrast, even in the saturated response range (Albrecht and Hamilton, 1982; Albrecht and Geisler, 1991; Heeger, 1991, 1992).”
- Contrast gain control and cortical TrkB signaling shape visual acuity (2010, background): “It was introduced to describe nonlinear response phenomena in V1, such as response suppression by a superimposed additional stimulus and, especially relevant in our context, contrast saturatio”
- The Suppressive Field of Neurons in Lateral Geniculate Nucleus (2005, background): “In fact, neurons in primary visual cortex exhibit contrast saturation (Albrecht and Hamilton, 1982; Sclar et al., 1990), masking (Bonds, 1989; Freeman et al.”
- Temporal properties of surround suppression in cat primary visual cortex (2007, background): “This is the function that is commonly fitted to contrast responses ~Albrecht & Hamilton, 1982!.”
- A Synaptic Explanation of Suppression in Visual Cortex (2002, methodology): “Although responses of lateral geniculate neurons increase with stimulus contrast over the full range of contrasts, at high contrast, responses of V1 neurons reach a plateau (Albrecht and Hamilton, 1982; Li and Creutzfeldt, 1984).”
- Do We Know What the Early Visual System Does? (2005, background): “Notable nonlinearities (shared with complex cells) are response saturation at high contrasts (Albrecht and Hamilton, 1982), and “nonspecific suppression” (Bonds, 1989; DeAngelis et al.”
- A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence (2021, background): “This simple model is expected to recover spatial tuning in early visual cortex where responses co-vary with stimulus energy 37 .”
- A Normalization Model of Multisensory Integration (2011, unknown): “This nonlinearity models the sublinear intensity response functions often seen in sensory neurons 47 .”
- Measurement and modeling of center-surround suppression and enhancement. (2001, background): “(4), is an extension of a model that has been previously proposed to fit psychophysical data on contrast discrimination (Foley, 1994Boynton et al., 1999), which is closely related to models of the responses of V1 neurons (Albrecht & Hamilton, 1982; Heeger, 1992Carandini et al., 1997).”