Underlying principles of visual shape selectivity in posterior inferotemporal cortex

By Scott L. Brincat, C. Connor. Nature Neuroscience, 2004

406 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bbbcfee941da08e09ceb549db686e95aa10f626c

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In Cognitive Neuroscience

Citations in the corpus

Experience-dependent sharpening of visual shape selectivity in inferior temporal cortex. (2005, neutral): “…for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Whereas much is known about the visual shape selectivity of neurons in the inferior temporal cortex (ITC), less is known about the role of visual learning in the development and refinement of ITC shape selectivity.”
Performance-optimized hierarchical models predict neural responses in higher visual cortex (2014, methodology): “, it is a rule for producing output on any arbitrary stimulus set and does not explicitly rely on stimuli being in a particular subclass of images (10, 11).”
Mechanisms of face perception. (2008, background): “Even earlier in the temporal pathway, nonlinear combinatorial selectivity can be seen (Brincat & Connor 2004).”
Cultural recycling of cortical maps. (2007, positive): “Inferotemporal neurons are thought to gain their sensitivity to complex shapes by pooling over neurons coding for simpler shapes at the immediately earlier level (Brincat and Connor, 2004; Serre et al., 2007).”
Reading normal and degraded words: Contribution of the dorsal and ventral visual pathways (2008, background): “Encoding of complex shapes then results from the convergence of elementary contour detectors (Brincat and Connor, 2004; Tsunoda et al., 2001).”
Selectivity and tolerance (“invariance”) both increase as visual information propagates from cortical area V4 to IT (2010, methodology): “For these neurons, we quantified how well rank-order selectivity was preserved across changes in position, scale, and context using a single-neuron linear separability index (Mazer et al., 2002; Brincat and Connor 2004; Janssen et al., 2008; Li et al., 2009) that measures how well the response of th”
On the biological plausibility of grandmother cells: implications for neural network theories in psychology and neuroscience. (2009, background): “According to Broadbent (1985), this is justified because neuroscience is only relevant at what Marr (1982) called the implementational level of description.”
Figure–ground organization and the emergence of proto-objects in the visual cortex (2015, background): “An IT neuron might respond to the presence, in a specific arrangement, of two or three contour segments each with a specific curvature (Brincat and Connor, 2004).”
Unsupervised Natural Visual Experience Rapidly Reshapes Size Invariant Object Representation in Inferior Temporal Cortex (2010, positive): “We decided to test size tolerance, because normal size tolerance in IT ismuch better described (Brincat and Connor, 2004; Ito et al., 1995; Logothetis and Sheinberg, 1996; Vogels and Orban, 1996) than pose or illumination tolerance.”
The code for facial identity in the primate brain (2017, background): “Configural coding in terms of shape fragments is a third alternative to the holistic axis and exemplar models considered in this paper and is supported by previous studies showing that general object coding is best described in terms of Gaussian-like tuning for contour, surface, and medial axis frag”
A neural code for three-dimensional object shape in macaque inferotemporal cortex (2008, background): “In posterior IT, individual neurons integrate information about multiple two-dimensional boundary fragments, producing explicit signals for more complex shape configuration”
Transformation of shape information in the ventral pathway. (2007, methodology): “Recent experiments indicate that curvature processing begins by the V2 level [15,16] and that curvature representation is prominent across multiple higher stages in IT [17,18].”
A neural model of figure-ground organization. (2007, positive): “Cells that respond selectively to curved contour segments and to combinations of such segments have been shown to exist in extrastriate cortex (Brincat and Connor 2004; Pasupathy and Connor 2001).”