'What' and 'where' in the human brain.
By Leslie G. Ungerleider, James V. Haxby. 1994
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yoshua Bengio
- Luc Van Gool
- Sergey Levine
- Abhinav Kumar Gupta
- Ruslan Salakhutdinov
- Dacheng Tao
- Trevor Darrell
- Jitendra Malik
Citations in the corpus
- A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning (2017, background): “nnis ball, we can imagine its trajectory, and prepare ourselves in advance to catch it. Although the act of recognising the tennis ball is seemingly independent of our intuition of Newtonian dynamics [31], very little of this assumption has yet been captured in the end-to-end models that presently m”
- Understanding the Effective Receptive Field in Deep Convolutional Neural Networks (2016, background): “A popular characterization of mammalian visual systems involves a split into "what" and "where" pathways [19].”
- Peripheral vision and pattern recognition: a review. (2011, background): “An interesting question has been brought up by Vickery, Shim, Chakravarthi, Jiang, and Luedeman (2009): What is the relative importance of the various mechanisms, and do their contributions act over- or under-additively? They reported an intriguing example of dramatic over-additivity, which they ter”
- Neuroimaging studies of working memory: (2003, background): “…9.09, p , .05, for peaks), and BA 7 showed preference for spatial storage (c 2 5 15.12, p , .001, for peaks), as predicted by the what versus where theory of dorsal and ventral visual streams for processing spatial and object identity information (Smith & Jonides, 1999; Ungerleider & Haxby, 1994).”
- Hierarchical models of object recognition in cortex (1999, background): “, the highest purely visual area in the ventral visual stream thought to have a key role in object recognitio”
- Scalable multi-class object detection (2011, background): “idence suggesting that the localization and classification of objects follow different pathways in the human visual system [21, 30].”
- fMRI resting state networks define distinct modes of long-distance interactions in the human brain (2006, background): “RSN5, by contrast, involves predominantly more inferior regions of occipital, parietal, and prefrontal cortex in a pattern recalling the complementary visual perceptual ‘‘what’’ pathway (Ungerleider and Haxby, 1994).”
- Visual attention mediated by biased competition in extrastriate visual cortex. (1998, background): “…neurobiological aspects of the model as it applies to attentional selection in thèventral stream' of extrastriate cortex, which is the network of cortical visual areas that is important for object recognition in primates (see Ungerleider & Mishkin 1982; Ungerleider & Haxby 1994; Ungerleider 1995).”
- Sleep, memory, and plasticity. (2006, background): “…both the ventral object recognition (inferior parietal and occipital-temporal junction) and dorsal object location (superior parietal lobe) pathways (Ungerleider & Haxby 1994), together with corresponding decreases in the right temporal pole, a region involved in emotional visual processing.”
- Listening to Action-related Sentences Activates Fronto-parietal Motor Circuits (2005, background): “In monkeys, the inferior parietal lobule receives its major visual input from the dorsal stream, and in particular, from area MT/ V5 (Ungerleider & Haxby, 1994).”
- Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks (2019, unknown): “These streams have been referred to as the “where” and “what” pathways for visual object perception (Ungerleider and Haxby 1994).”
- STEVENS' HANDBOOK OF EXPERIMENTAL PSYCHOLOGY (2002, unknown): “SOURCE: After Ungerleider and Haxby (1994).”
- Neuroindices of cognitive workload: Neuroimaging, pupillometric and event-related potential studies of brain work (2003, unknown): “Lesions in this area are associated with visuospatial neglect, optic ataxia and difficulties in spatial learning, such as stylus maze learning (Ungerleider and Haxby 1994).”
- The independence of combinatory semantic processing: Evidence from event-related potentials (2005, background): “The proposal focuses on similarities between the language processing system and the visual processing system, which is widely understood to contain multiple parallel streams of processing (e.g., dorsal and ventral streams that process object and spatial vision, respectively; Ungerleider & Haxby, 19”
- Cortical mechanisms for reach planning (2004, background): “From the visual cortex, visual information about the spatial location of objects travels to the posterior parietal cortex (PPC), along the dorsal stream (Goodale 1993; Milner and Goodale 1993; Tann et al. 1995; Ungerleider and Haxby 1994).”
- Mechanisms of visual attention in the human cortex. (2000, methodology): “The existence of separate processing streams has been tested by having subjects perform object-identity and spatial-localization tasks analogous to the tasks used with monkeys (Haxby et al 1994, Ungerleider & Haxby 1994).”