Research Topics
| David D CoxSummaryAffiliation: Massachusetts Institute of Technology Country: USA Publications
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Detail Information
Publications
Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortexDavid D Cox
Rowland Institute for Science, Cambridge, MA 02142, USA
Neuroimage 19:261-70. 2003....
What response properties do individual neurons need to underlie position and clutter "invariant" object recognition?Nuo Li
McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA
J Neurophysiol 102:360-76. 2009..g., V1) do not, we suggest that preserving the rank-order object preference regardless of clutter, rather than the response magnitude, more precisely describes the goal of individual neurons at the top of the ventral visual stream...
High-resolution three-dimensional microelectrode brain mapping using stereo microfocal X-ray imagingDavid D Cox
McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
J Neurophysiol 100:2966-76. 2008....- A high-throughput screening approach to discovering good forms of biologically inspired visual representationNicolas Pinto
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachussetts, USA
PLoS Comput Biol 5:e1000579. 2009.... - A rodent model for the study of invariant visual object recognitionDavide Zoccolan
The Rowland Institute at Harvard, Harvard University, Cambridge, MA 02142, USA
Proc Natl Acad Sci U S A 106:8748-53. 2009..These results provide the first systematic evidence for invariant object recognition in rats and argue for an increased focus on rodents as models for studying high-level visual processing... - Does learned shape selectivity in inferior temporal cortex automatically generalize across retinal position?David D Cox
Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
J Neurosci 28:10045-55. 2008..This finding raises the possibility that visual experience plays a role in building neuronal tolerance in the ventral visual stream and the recognition abilities it supports... - Untangling invariant object recognitionJames J DiCarlo
McGovern Institute for Brain Research, and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Trends Cogn Sci 11:333-41. 2007..Finally, we speculate on the key neuronal mechanisms that could enable this solution, which, if understood, would have far-reaching implications for cognitive neuroscience... - Multiple object response normalization in monkey inferotemporal cortexDavide Zoccolan
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
J Neurosci 25:8150-64. 2005.... - 'Breaking' position-invariant object recognitionDavid D Cox
McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
Nat Neurosci 8:1145-7. 2005..Thus, position invariance is not a rigid property of vision but is constantly adapting to the statistics of the environment... - Why is real-world visual object recognition hard?Nicolas Pinto
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
PLoS Comput Biol 4:e27. 2008..Instead, we reexamine what it means for images to be natural and argue for a renewed focus on the core problem of object recognition--real-world image variation...