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Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a "face" area?

Stephen José Hanson, Toshihiko Matsuka, James V. Haxby
2004 NeuroImage  
There has been considerable research in 552 both visual neuroscience and neuroimaging showing specificity or 553 responses in these specific areas of ventral temporal lobe.  ...  549 In Fig. 6 and especially Fig. 7 , we show that there is a lack of 550 object specificity in the PPA (so-called ''place'' area) and the FFA 551 (the solaced ''face'' area).  ... 
doi:10.1016/j.neuroimage.2004.05.020 pmid:15325362 fatcat:zbtf4gqhcnedzbaghfwhzxym7e

Page 1581 of Journal of Cognitive Neuroscience Vol. 22, Issue 7 [page]

2010 Journal of Cognitive Neuroscience  
Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: Is there a face area? Neuroimage, 23, 156-1060. Haushofer, J., Livingstone, M., & Kanwisher, N. (2008).  ...  For viewpoint, we conclude that there is information available across VT cortex to de- code viewpoint.  ... 

Neural representations of faces and limbs neighbor in human high-level visual cortex: evidence for a new organization principle

Kevin S. Weiner, Kalanit Grill-Spector
2011 Psychological Research  
selective for images of biologically relevant categories, such as faces and limbs.  ...  among functional regions, and (3) a topographic organization of face-and limb-selective regions in adjacent and alternating clusters.  ...  The ventral stream: the role of ventral temporal cortex in recognition and memory The ventral stream extends from early visual areas to ventral aspects of the occipital and temporal lobe (Fig. 1) .  ... 
doi:10.1007/s00426-011-0392-x pmid:22139022 pmcid:PMC3535411 fatcat:xcntv3jidnaidmtofo5j5gtpha

Dissociable Neural Patterns of Facial Identity across Changes in Viewpoint

Vaidehi S. Natu, Fang Jiang, Abhijit Narvekar, Shaiyan Keshvari, Volker Blanz, Alice J. O'Toole
2010 Journal of Cognitive Neuroscience  
Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: Is there a face area? Neuroimage, 23, 156-1060. Haushofer, J., Livingstone, M., & Kanwisher, N. (2008).  ...  One speculative possibility, consistent with Haxby et al. (2000), is that viewpoint information is coded both in ventral face areas and in pSTS, but with different functions.  ... 
doi:10.1162/jocn.2009.21312 pmid:19642884 fatcat:rbnqt6nfinaxpnuwqd2e3v5c6e

Social Vision: Functional Forecasting and the Integration of Compound Social Cues

Reginald B. Adams, Kestutis Kveraga
2015 Review of Philosophy and Psychology  
cues are obscured, as in the dark or in a forest environment where vision is obstructed by dense foliage.  ...  recent evidence for combinatorial processing of social cues.  ...  to real faces in the face-sensitive cortex in the ventral temporal lobe (Hadjikhani, Kveraga et al., 2009 ).  ... 
doi:10.1007/s13164-015-0256-1 pmid:29242738 pmcid:PMC5726574 fatcat:hdro2xor6nbutkwy727afqtpfy

Fine-grain atlases of functional modes for fMRI analysis [article]

Kamalaker Dadi, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann
2020 arXiv   pre-print
For this reason, brain images are typically summarized in a few signals, for instance reducing voxel-level measures with brain atlases or functional modes.  ...  A good choice of the corresponding brain networks is important, as most data analyses start from these reduced signals.  ...  Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a "face" area? NeuroImage 23, 156 -166.  ... 
arXiv:2003.05405v1 fatcat:3ed452xtnnfylbvcveixb3hdqa

Faster than thought: Detecting sub-second activation sequences with sequential fMRI pattern analysis [article]

Lennart Wittkuhn, Nicolas W Schuck
2020 bioRxiv   pre-print
Probabilistic pattern classifiers were trained on fMRI data to detect the presence of image-specific activation patterns in early visual and ventral temporal cortex.  ...  This poses a particular challenge for the study of the human brain because non-invasive methods have either high temporal or spatial resolution, but not both.  ...  Haxby. Combinatorial codes in ventral 1285 temporal lobe for object recognition: Haxby (2001) revisited: is there a "face" area? Neu- 1286 roImage, 23(1):156-166, Sep 2004.  ... 
doi:10.1101/2020.02.15.950667 fatcat:psgmpbni7jfhhnr65vywiusvaq

Solving the "human problem": The frontal feedback model

Raymond A. Noack
2012 Consciousness and Cognition  
This paper argues that humans possess unique cognitive abilities due to the presence of a functional system that exists in the human brain that is absent in the non-human brain.  ...  This synthesis is used to support the proposal of an information flow reversal occurring in the hominin brain and also to explain how such a reversal generates the wide variety of cognitive and experiential  ...  Parker for her continued interest in and helpful reviews of this version and earlier versions of the model. Finally, I would like to thank Elaine M.  ... 
doi:10.1016/j.concog.2012.01.011 pmid:22330981 fatcat:m6vyjzscurcjdbixnxupgd4a7e

What can autism teach us about the role of sensorimotor systems in higher cognition? New clues from studies on language, action semantics, and abstract emotional concept processing

Rachel L. Moseley, Friedemann Pulvermüller
2018 Cortex  
development of new clinical interventions for this population and others characterised by early and pervasive motor disruption.  ...  BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/). to higher cognitive and social impairment, we suggest, is timely and promising as it may advance both neurocognitive theory and the  ...  Acknowledgements The authors would like to thank colleagues at the MRC Cognition and Brain Sciences Unit for their assistance in the c o r t e x 1 0 0 ( 2 0 1 8 ) 1 4 9 e1 9 0  ... 
doi:10.1016/j.cortex.2017.11.019 pmid:29306521 fatcat:zqu2kxopbrgixf7fuv2rgx44f4

Neural underpinnings of orthography in first and second language readers

Osamu Takai
2019
Reading success in a second language (L2) is crucial for billions of people worldwide, but it is well known that it remains difficult for L2 learners to automatize the L2 processing in general.  ...  By contrasting single-letters with pseudoletter visual stimuli (a pseudoletter effect) in L1, the reaction time data showed that reading experience makes letter processing faster than in pseudoletter processing  ...  A negative response recorded from left inferior temporal cortices, termed the N200, has also been shown to be larger for words than for faces or objects .  ... 
doi:10.14288/1.0380819 fatcat:wbcxmokjdvdcllwib3qzbc7x2y

Neuroplasticity, neural reuse, and the language module [article]

John Zerilli, University, The Australian National, University, The Australian National
2018
In the course of doing so I articulate a schematically and neurobiologically precise framework for understanding modules and their supramodular interactions.  ...  I argue from principles of both neural reuse and neural redundancy that language is facilitated by a composite of modules (or module-like entities), few if any of which are likely to be linguistically  ...  the ventral ("what") path for object and shape recognition.  ... 
doi:10.25911/5d6c3c60dbf51 fatcat:5am6tlojzzgetpftfkgmplmyze

The Time and Location of Natural Reading Processes in the Brain

Leila Wehbe
2018
We obtain a spatio-temporal picture of how successive words are processed by the brain. We show the progressive perception of each word in a posterior to anterior fashion.  ...  For each region along this pathway we show a differentiation of the word properties that best explain its activity.  ...  Furthermore, bilateral damage to superior temporal lobe regions is associated with severe deficits in speech recognition (word deafness) 39 , consistent with the idea that speech recognition systems  ... 
doi:10.1184/r1/6723803.v1 fatcat:j4dlrx4kubfr5jx3d7wyoyejpy