Selectivity for the shape, size, and orientation of objects for grasping in neurons of monkey parietal area AIP.
By A. Murata, Vittorio Gallese †, Giuseppe Luppino, M. Kaseda, H. Sakata. 2000
848 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Social Psychology, Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Stanislas Dehaene
- Leonardo G. Cohen
- Giacomo Rizzolatti
- Jacqueline Gottlieb
- Richard E. Passingham
- Julie Grèzes
- Jorge L. Armony
- James Benedict Rowe
In Social Psychology
- Stanislas Dehaene
- Giacomo Rizzolatti
- Leonardo G. Cohen
- Richard E. Passingham
- Julie Grèzes
- Jorge L. Armony
- James Benedict Rowe
- Massimo Matelli
In Neuroscience
- Stanislas Dehaene
- Kadharbatcha S. Saleem
- Mortimer Mishkin
- Massimo Matelli
- Sinan Kalkan
- Ales Leonardis
- Laurenz Wiskott
- Dwight J. Kravitz
Citations in the corpus
- Dynamic Neural Networks: A Survey (2021, background): “dynamic networks may bridge the gap between the underlying mechanism of deep models and brains, as it is believed that the brains process information in a dynamic way [37], [38].”
- How does the brain solve visual object recognition? (2012, neutral): “…Valyear 416 Neuron 73, February 9, 2012 ª2012 Elsevier Inc. et al., 2006) and to shape the hand to manipulate an object (e.g., Goodale et al., 1994; Murata et al., 2000), and we do not review that work here (see Cardoso-Leite and Gorea, 2010; Jeannerod et al., 1995; Konen and Kastner, 2008;…”
- Parallel Processing Strategies of the Primate Visual System (2009, neutral): “Again, recent studies have shown important differences in the way that these attributes are encoded and in the behaviour or perception that they are likely to infor”
- Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction (2018, background): “Human behavior appears to rely on sensorimotor representations of this type: populations of neurons in parietal and premotor areas of the cortex are sensitive to both the visual properties and behavioral goals associated with objects [33, 30, 34, 15], and the outputs of these areas are critical for ”
- Two different streams form the dorsal visual system: anatomy and functions (2003, background): “The parietal area that plays a central role in sensory transformation for grasping is area AIP (see Sakata and Taira 1994; Murata et al. 2000).”
- Topographical layout of hand, eye, calculation, and language-related areas in the human parietal lobe. (2002, background): “involved in the visually guided shaping of the hand (Murata et al., 2000; Sakata et al., 1995).”
- Integration of Visuospatial and Effector Information during Symbolically Cued Limb Movements in Monkey Lateral Intraparietal Area (2006, background): “These responses unambiguously identify our neurons as belonging to the LIP, because in no other parietal area can one find this strength and prevalence of delay and presaccadic activity (Barash et al., 1991; Murata et al., 2000; Snyder et al., 2000a).”
- A new neural framework for visuospatial processing (2011, background): “…that the anterior intraparietal area (AIP) contains representations of the three-dimensional shapes of objects suited for guiding grasping 189–191 , and adjacent regions of the rostral portion of the inferior parietal lobule (rIPL) contain complex multimodal representations of space relative…”
- Activations related to "mirror" and "canonical" neurones in the human brain: an fMRI study (2003, background): “According to Murata et al. (2000) this is due to the enhancement by the motor component, subserved by bidirectional anatomical connections between the premotor area F5 and the AIP (Luppino et al., 1999).”
- Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? (2013, background): “Some AIP neurons respond during object fixation and grasping, but not during grasping in the dark (visual-dominant neurons); other AIP neurons do not respond during object fixation but only when the object is grasped, even in the dark (motordominant neurons), whereas a third class of AIP neurons res”