Shape representation in the inferior temporal cortex of monkeys.
By Nikos K. Logothetis, J. Pauls, T. Poggiot. 1995
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yoshua Bengio
- Kristen Grauman
- Trevor Darrell
- Wenguan Wang
- Antonio Torralba
- Ali Borji
- Sergey Levine
- Luc Van Gool
Citations in the corpus
- View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation (2016, neutral): “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].”
- How does the brain solve visual object recognition? (2012, neutral): “…image transformations such as changes in object size, contrast, in-depth and in-plane rotation, and presence of background or clutter (Ito et al., 1995; Logothetis et al., 1995; Op de Beeck and Vogels, 2000; Perrett et al., 1982; Rust and DiCarlo, 2010; Zoccolan et al., 2005, 2007).”
- A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex (2005, methodology): “Tuning properties of viewtuned units in IT The model has been able to duplicate quantitatively the generalization properties of IT neurons that remain highly selective for particular objects, while being invariant to some transformations [Logothetis et al., 1995; Riesenhuber and Poggio, 1999b] their”
- Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex (2007, background): “Some of the most remarkable findings about anterior IT concern the highly selective neuronal tuning for complex visual patterns reported by some authors (Desimone et al., 1984; Logothetis et al., 1995; Op de Beeck et al., 2001; Brincat and Connor, 2004; Freedman et al., 2005; Brincat and Connor, 200”
- The human visual cortex. (2004, background): “…(Gallant et al. 1993, Schein & Desimone 1990), and in occipitotemporal regions cells respond selectively to particular shapes (Booth & Rolls 1998, Desimone et al. 1984, Fujita et al. 1992, Kobatake & Tanaka 1994, Logothetis et al. 1995, Sigala & Logothetis 2002, Tanaka 1993, Wachsmuth et al. 1994).”
- Realistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object Recognition in Cortex (2004, methodology): “To assess the degree of invariance to stimulus transformations, we used a paradigm similar to the one used in [3, 4], in which a transformed (rescaled or rotated in depth) target stimulus is considered recognized in a certain presentation condition if the VTU tuned to the original target (default si”
- On the biological plausibility of grandmother cells: implications for neural network theories in psychology and neuroscience. (2009, background): “For example, in the Logothetis et al. (1995) study, the monkeys were trained on a large set of objects for months, and selective responses were only observed for the trained images (novel objects failed to support these effects).”
- Illiterate to literate: behavioural and cerebral changes induced by reading acquisition (2015, unknown): “A patch of infero-temporal cortex contains neurons that generalize over mirror images, treating them as two views of the same object 40,74,77 .”