The emergence of contrast-invariant orientation tuning in simple cells of cat visual cortex.

By Ian M. Finn, Nicholas J. Priebe, D. Ferster. 2007

255 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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Citations in the corpus

Normalization as a canonical neural computation (2011, background): “3a ), and orientation tuning is invariant with contras”
Mechanisms for Stable, Robust, and Adaptive Development of Orientation Maps in the Primary Visual Cortex (2013, methodology): “Similar methods of achieving contrast-invariant orientation tuning have been described in previous nondevelopmental models (Geisler and Albrecht, 1997; Anderson et al., 2000; Carandini et al., 2002; Finn et al., 2007), but to our knowledge GCAL is the first model to show how contrast-invariant tunin”
Parvalbumin-Expressing Interneurons Linearly Transform Cortical Responses to Visual Stimuli (2012, background): “In other words, thanks in part to fluctuations in membrane potential (Carandini, 2007; Finn et al., 2007) the iceberg is almost completely out of the water: further depolarization will increase the firing rate at all orientations but will not result in a broadening of the tuning curve.”
Melting the iceberg: contrast invariance in visual cortex. (2007, background): “To find the solution to these two problems, Finn et al. (2007) took the final step and measured the impact of noise fluctuations in membrane potential (Figures 1G–1I).”
The Normalization Model of Attention (2009, background): “This threshold model of spike generation , although oversimplified, is a reasonable approximation for the relationship between membrane potential fluctuation and firing rate (Anderson et al., 2000; Carandini, 2004a; Carandini and Ferster, 2000; Finn et al., 2007; Granit et al., 1963).”
Highly Selective Receptive Fields in Mouse Visual Cortex (2008, background): “…this property, including recurrent connectivity, inhibition, membrane potential fluctuations attributable to background activity, and the spike threshold, among others (Sompolinsky and Shapley, 1997; Ferster and Miller, 2000; Shapley et al., 2003; Finn et al., 2007; Priebe and Ferster, 2008).”
GABAA inhibition controls response gain in visual cortex (2011, background): “Normalization is now thought to rely on alternative mechanisms, at least for phenomena that arise within the receptive field (Carandini et al., 2002; Priebe and Ferster, 2006; Finn et al., 2007).”
Inhibition, spike threshold, and stimulus selectivity in primary visual cortex. (2008, unknown): “Contrast invariance therefore appears in the spike output of simple cells, without lateral inhibition, even when the visually evoked synaptic inputs are themselves not invariant (Finn et al., 2007).”
The Operating Point of the Cortex: Neurons as Large Deviation Detectors (2007, background): “Despite a nonsaturating LGN response, we cannot rule out that saturation of postsynaptic responses as recently described in cat visual cortex (Finn et al., 2007) contributes to the invariance of threshold with contrast.”
Primary Visual Cortex Represents the Difference Between Past and Present (2013, methodology): “…(2012) propose that these relationships are well captured by a power function with an exponent of ∼4, similarly as observed for the relationship Cerebral Cortex June 2015, V 25 N 6 1433 between average membrane potential and spike rates in single V1 neurons (Anderson et al. 2000; Finn et al. 2007).”
Complex dynamics of V1 population responses explained by a simple gain-control model (2009, unknown): “Noise reduction in the membrane potential could also contribute to gain-control by reducing the likelihood of crossing spike threshold (Finn et al., 2007); however, noise reduction may itself be the result of some form of gain-control (in many systems, lowering gain lowers noise).”