View-invariant representations of familiar objects by neurons in the inferior temporal visual cortex.
By Michael Booth, E. T. Rolls. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- German Ignacio Parisi
- Stefan Wermter
- Stanislas Dehaene
- Leonardo G. Cohen
- Luiza Mici
- Yoshua Bengio
- Jun Tani
- Minjoon Kouh
Citations in the corpus
- Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization (2018, background): “View invariance of objects is a prominent property of higher-level visual areas of the mammalian brain, with neurons coding for abstract representations of familiar objects rather than for individual views and visual features (Booth and Rolls, 1998; Karimi-Rouzbahani et al., 2017).”
- How does the brain solve visual object recognition? (2012, neutral): “, 2005; Rust and DiCarlo, 2010) and appears to extend to difficult forms of invariance such as pose (Booth and Rolls, 1998; Freiwald and Tsao, 2010; Logothetis et al., 1995).”
- The Time Course of Visual Processing: From Early Perception to Decision-Making (2001, background): “These areas probably constitute the functional equivalent of monkey inferotemporal cortex regions that have been extensively investigated, demonstrating selectivity for complex visual features and object identity (Vogels, 1999; Booth & Rolls, 1998; Rolls & Tovee, 1995; Tanaka, 1993, 1996).”
- Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet (2012, background): “…temporal cortical areas, neurons with view-independent representations of faces are present in the same cortical areas as neurons with view-dependent representations (from which the view-independent neurons could receive inputs; Perrett et al., 1985; Hasselmo et al., 1989b; Booth and Rolls, 1998).”
- A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex (2005, methodology): “In addition, as other studies have shown [Perrett and Oram, 1993; Booth and Rolls, 1998; Logothetis et al., 1995; Hietanen et al., 1992], most neurons show specificity for a certain object view or lighting condition.”
- Deep Learning of Invariant Spatio-Temporal Features from Video (2010, background): “Similarly, neuronal responses that are invariant to scale [21, 37] and viewpoint [6] are discovered experimentally.”
- The orbitofrontal cortex and reward. (2000, background): “Visual inputs reach the orbitofrontal cortex directly from the inferior temporal cortex, in which representations of objects are found (Booth and Rolls, 1998), the cortex in the anterior part of the superior temporal sulcus, in which face-responsive neurons are found (Hasselmo et al., 1989a,b;…”
- Reading normal and degraded words: Contribution of the dorsal and ventral visual pathways (2008, background): “Neurophysiological observations in the macaque ventral visual regions have led to construe this system as a hierarchy of converging neural detectors with progressively larger receptor fields, tuned to increasingly complex objects (Booth and Rolls, 1998; Riesenhuber and Poggio, 1999; Rolls, 2000; Ull”
- The lateral occipital complex and its role in object recognition. (2001, background): “…for both viewpoint specific neurons (Perrett, Smith, Potter, Mistlin, Head, Milner & Jeeves, 1985; Logothetis, Pauls & Poggio, 1995) and viewpoint-invariant neurons (Hasselmo , Rolls, Baylis & Nalwa, 1989; Booth & Rolls, 1998), though the former appears to be more prevalent than the latter.”
- Are cortical models really bound by the "binding problem"? (1999, background): “Moreover, some IT cells seem to respond to objects in a view-invariant manner [1, 14, 23].”
- Hierarchical models of object recognition in cortex (1999, unknown): “[19] Booth, M.”