Visual object recognition.

By Nikos K. Logothetis, David L. Sheinberg. 1996

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Citations in the corpus

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation (2016, positive): “Abstract: The primate brain contains a hierarchy of visual areas, dubbed the ventral stream, which rapidly computes object representations that are both specific for object identity and relatively robust against identity-preserving transformations like depth-rotations [33, 32, 23, 13].”
Theory of Mind: A Neural Prediction Problem (2013, neutral): “Because sensory input passes through many hierarchically organized levels of processing (DiCarlo et al., 2012; Felleman and Van Essen, 1991; Logothetis and Sheinberg, 1996; Desimone et al., 1984; Maunsell and Newsome, 1987), a predictive model of sensory processing requires an account of the…”
Invariant visual representation by single neurons in the human brain (2005, background): “on the following: (1) the spike shape and its variance; (2) the ratio between the spike peak value and the noise level; (3) the inter-spike interval distribution of each cluster; and (4) the presence of a refractory period for the single units (that is, less than 1% of spikes within less than 3ms in”
How does the brain solve visual object recognition? (2012, neutral): “Thus, just 100ms after image photons impinge on the retina, a first wave of imageselective neuronal activity is present throughout much of IT (e.g., Desimone et al., 1984; DiCarlo and Maunsell, 2000; Hung et al., 2005; Kobatake and Tanaka, 1994a; Logothetis and Sheinberg, 1996; Tanaka, 1996).”
Multimodal Distributional Semantics (2013, methodology): “We exploit recent advances in computer vision (Grauman & Leibe, 2011) and the availability of documents that combine text and images to automatically extract visual features that are naturally co-occurring with words in multimodal corpora.”
Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex (2007, background): “The present result helps unify a body of previous IT work by explaining why the amount of tolerance is highly varied within and across those studies (Gross et al., 1972; Desimone and Gross, 1979; Perrett et al., 1982; Desimone et al., 1984; Rolls and Baylis, 1986; Sato, 1989; Lueschow et al., 1994; ”
Integration of local features into global shapes: monkey and human FMRI studies. (2003, unknown): “At this stage, global processes, et al., 1972; Logothetis and Sheinberg, 1996; Tanaka, 1996; Grill-Spector and Malach, 2001; Haxby et al.,namely figure-ground segmentation (Lamme 1995; Zipser et al., 1996; Lee et al., 1998; Rossi et al., 2001) 2001).”
Cross-generalization: learning novel classes from a single example by feature replacement (2005, background): “For example, it is estimated that humans are familiar with tens of thousands of different classes [3].”
Selectivity for the shape, size, and orientation of objects for grasping in neurons of monkey parietal area AIP. (2000, background): “During both the fixation tasks, when the color of the spot was green, the monkey was trained to fixate on the spot while pressing a home key for 1.5 s until the spot changed color from green to red.”
Experience-dependent sharpening of visual shape selectivity in inferior temporal cortex. (2005, unknown): “…Learning and McGovern Institute 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…”
A quantitative theory of immediate visual recognition. (2007, background): “A hallmark of the cells in IT is the robustness of their firing over stimulus transformations such as scale and position changes (Perrett and Oram, 1993; Logothetis et al., 1995; Logothetis and Sheinberg, 1996; Tanaka, 1996).”
A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex (2005, background): “…V1, with small receptive fields that respond preferably to oriented bars, neurons along the ventral stream [Perrett and Oram, 1993; Tanaka, 1996; Logothetis and Sheinberg, 1996] show an increase in receptive field size as well as in the complexity of their preferred stimuli [Kobatake and…”