Neuronal selectivities to complex object features in the ventral visual pathway of the macaque cerebral cortex.
By Eucaly Kobatake, Keiji Tanaka. 1994
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Nikolaus Kriegeskorte
- Yoshua Bengio
- Daniel L. K. Yamins
- James J. DiCarlo
- J. Urgen Schmidhuber
- Charles F. Cadieu
- E. T. Rolls
- Tomaso A. Poggio
Citations in the corpus
- 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).”
- Continuous transformation learning of translation invariant representations (2010, background): “…that the inferior temporal visual cortex has neurons that respond to faces and objects invariantly with respect to translation (Tovee et al. 1994; Kobatake and Tanaka 1994; Ito et al. 1995; Op de Beeck and Vogels 2000; Rolls et al. 2003), size (Rolls and Baylis 1986; Ito et al. 1995), contrast…”
- Perceived Shape Similarity among Unfamiliar Objects and the Organization of the Human Object Vision Pathway (2008, background): “Many empirical findings agree with this general hierarchical scheme (Kobatake and Tanaka, 1994; Riesenhuber and Poggio, 1999; Pasupathy and Connor, 2001).”
- Neural population control via deep image synthesis (2018, background): “Indeed, textbooks and 290 important recent results tell us that V1 neurons are tuned to oriented bars (20), V2 neurons 291 are tuned to correlated combinations of V1 neurons found in natural images (21), V4 neu292 rons are tuned to complex curvature shapes in both 2D and 3D (17, 22) and tuned to bou”
- Mechanisms of face perception. (2008, background): “…however such spatial-configuration selective responses and nonlinear combination of features is not restricted to face cells, as such behavior has been reported for other kinds of complex-object selective cells in the temporal lobe (Baker et al 2002, Kobatake & Tanaka 1994, Tanaka et al 1991).”
- The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded (2012, background): “…has been reported to impair object recognition (Grill-Spector et al., 2000; Rolls et al., 1999), receptive fields subtend large portions of the visual field (generally 10–20°; Rust & Dicarlo, 2010; Kobatake & Tanaka, 1994), and thus, spatial-based inhibition at this level is virtually nonexistent.”
- Are cortical models really bound by the "binding problem"? (1999, background): “…and Rolls, 1997) of average feature complexity and receptive field size have proposed that coding an object through a set of throughout the stream (Kobatake and Tanaka, 1994). intermediate features made up of local arrangements of While simple cells in V1 have small localized receptive simpler…”
- Selectivity and tolerance (“invariance”) both increase as visual information propagates from cortical area V4 to IT (2010, background): “Can the increases in conjunction sensitivity that we observed be explained simply by increases in RF size (Desimone and Schein, 1987; Gattass et al., 1988; Kobatake and Tanaka, 1994; Op De Beeck and Vogels, 2000) as signals pass from V4 to IT?”
- Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System (2015, background): “Electrophysiological studies in macaque monkeys have shown that images of faces selectively drive a subset of neurons in the inferotemporal cortex (Perrett et al., 1982; Desimone et al., 1984; Kobatake and Tanaka, 1994), and PET and fMRI studies of humans have shown that there are localized regions ”
- Statistical learning of visual transitions in monkey inferotemporal cortex (2011, background): “ITC neurons respond with individual patterns of selectivity to complex images (4).”
- Learning Intermediate-Level Representations of Form and Motion from Natural Movies (2012, background): “…neurons at higher levels such as in the inferotemporal and posterior parietal regions represent more global properties such as object identity (Kobatake & Tanaka, 1994; Tsunoda, Yamane, Nishizaki, & Tanifuji, 2001; Yamane, Carlson, Bowman, Wang, & Connor, 2008) and complex motion trajectories…”
- The composite face illusion: A whole window into our understanding of holistic face perception (2013, unknown): “…the representation of a whole face is truly different than the summed representation of its parts (i.e., a nonlinearity) by contrasting the behavioural or neural response to a part versus the whole face (e.g., Freiwald, Tsao, & Livingstone, 2009; Gold, Mundy, & Tjan, 2012; Kobatake & Tanaka, 1994).”
- 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).”