Partially Distributed Representations of Objects and Faces in Ventral Temporal Cortex

By Alice J. O'Toole, Fang Jiang, Hervé Abdi, James V. Haxby. Journal of Cognitive Neuroscience, 2005

351 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3fab578a7f5edee7b8ccffb1970a5f939a9000e4

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In Cognitive Neuroscience

Citations in the corpus

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns (2008, neutral): “…2003, Mitchell et al., 2004, Mourao-Miranda et al., 2005, LaConte et al., 2005, Kamitani and Tong, 2005), linear disciminant analysis (LDA) (O'Toole et al., 2005, Haynes and Rees, 2005, Kriegeskorte et al., 2006) Gaussian Naïve Bayes (GNB) (Mitchell et al., 2004) and Neural Networks (Hanson…”
Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey (2008, background): “in Inferior Temporal Cortex of Man and Monkey”
PRoNTo: Pattern Recognition for Neuroimaging Toolbox (2013, methodology): “Here we describe a simple brain decoding analysis using a dataset that has been previously used in pattern recognition for neuroimaging studies (Haxby et al. 2001; Hanson et al. 2004; O ’ Toole et al. 2005) and for describing the functionalities of other software toolboxes (Hanke et al. 2009a, b).”
Multivariate pattern analysis of fMRI: The early beginnings (2012, methodology): “Reanalyses of our data by Steve Hanson et al. (2004) and Alice O'Toole et al. (2005) revealed similarity structures that conformed to intuitions about semantic relationships — namely, a major distinction between animate and inanimate objects and a secondary distinction between houses and small inani”
A continuous semantic space describes the representation of thousands of object and action categories across the human brain (2012, background): “…locations on the cortical surface might represent many semantically related categories (Connolly et al., 2012; Downing et al., 2006; Edelman et al., 1998; Just et al., 2010; Konkle and Oliva, 2012; Kriegeskorte et al., 2008; Naselaris et al., 2009; Op de Beeck et al., 2008; O'Toole et al., 2005).”
PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data (2009, methodology): “For example, classifier-based analysis was first used to investigate neural representations of faces and objects in ventral temporal cortex and showed that the representations of different object categories are spatially distributed and overlapping and revealed that they have a similarity structure ”
A common, high-dimensional model of the representational space in human ventral temporal cortex (2011, background): “…R. Conroy,3 M. Ida Gobbini,1,4 Michael Hanke,1 and Peter J. Ramadge3 1Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA 2Center for Mind/Brain Sciences, Universitá degli studi di Trento, Rovereto 38068, Italy 3Department of Electrical Engineering, Princeton…”
Machine learning classifiers and fMRI: a tutorial overview (2008, background): “[37], on the same dataset, shows that the ability to distinguish the category stimuli correlates with the ability of the classifier to distinguish the corresponding classes.”
Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns (2008, neutral): “…of visual objects, which cannot be easily distinguished by the conventional functional mapping (see also Strother et al., 2002; Spiridon and Kanwisher, 2002; Cox and Savoy, 2003; Carlson et al., 2003; Mitchell et. al., 2004; Laconte et. al., 2005; O'Toole et al., 2005 for other examples).”
Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience (2008, neutral): “…neuronal activity patterns have begun to be applied in human fMRI (Aguirre, 2007; Aguirre et al., in preparation; Drucker and Aguirre, submitted; Edelman et al., 1998; Kriegeskorte et al., in press; O’Toole et al., 2005) and monkey electrophysiology (Kiani et al., 2007; Op de Beeck et al., 2001).”