How Close Are We to Understanding V1?

By Barbara Olshausen, David J. Field. Neural Computation, 2005

478 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3f7e0bc25699fb2fe23c3ebd7ea93b28352cab53

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In Cognitive Neuroscience

Citations in the corpus

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity (2013, result): “A number of experimental studies confirm this predictions (see [98] for a review).”
Cortical travelling waves: mechanisms and computational principles (2018, background): “For example, standard models of cortical neurons based on this framework capture only a fraction of the response variance observed under natural sensory conditions 129 .”
Inverse retinotopy: Inferring the visual content of images from brain activation patterns (2006, methodology): “While this model might be partially supported by current knowledge about V1 (Tootell et al., 1998b; Hansen et al., 2004), it is obviously an over-simplification (Olshausen and Field, 2005), especially if one considers higher visual areas.”
How does the brain solve visual object recognition? (2012, unknown): “…models tend to produce easier-to-decode object identity manifolds largely on the strength of the normalization operation (Jarrett et al., 2009; Lewicki and Sejnowski, 2000; Olshausen and Field, 2005; Pinto et al., 2008b), similar in spirit to the overcomplete approach of V1 (described above).”
Direct-fit to nature: an evolutionary perspective on biological (and artificial) neural networks (2019, background): “…stimuli and designs to recover elegant coding principles (e.g., Hubel and Wiesel, 1962); but it remains unclear whether these principles actually capture neural responses in naturalistic contexts (Felsen and Dan, 2005; Olshausen and Field, 2005; Hasson and Honey, 2012; Hamilton and Huth, 2018).”
Functional mechanisms shaping lateral geniculate responses to artificial and natural stimuli. (2008, background): “Nonlinear mechanisms may operate differently for different classes of stimuli (Olshausen and Field, 2005 ), and it is reassuring to find that this is not the case for two such important mechanisms.”
A default mode of brain function: A brief history of an evolving idea (2007, background): “Understanding this work depends on complex concepts not only from neurophysiology but also from theoretical neuroscience (Olshausen and Field, 2005), cell biology (Attwell and Laughlin, 2001; Pellerin and www.elsevier.com/locate/ynimg NeuroImage 37 (2007) 1083 – 1090 ⁎ Corresponding author.”
Sparse deep belief net model for visual area V2 (2007, background): “The only free parameters were p (which is chosen based on rough estimates of the average firing rate of neurons in V1 and V2 when exposed to natural scenes [26]), and σ.”
Primary Visual Cortex Represents the Difference Between Past and Present (2013, background): “That is, response behavior to natural input can deviate significantly from predictions based on simple parameterized stimuli, probably due to the extensive spatial context in natural images (see Carandini et al. 2005; Olshausen and Field 2005 for reviews).”