Published in Front Comput Neurosci on June 25, 2012
Toward an Integration of Deep Learning and Neuroscience. Front Comput Neurosci (2016) 0.97
Toward a unified model of face and object recognition in the human visual system. Front Psychol (2013) 0.92
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. PLoS Comput Biol (2015) 0.81
Finding and recognizing objects in natural scenes: complementary computations in the dorsal and ventral visual systems. Front Comput Neurosci (2014) 0.79
Deformation-specific and deformation-invariant visual object recognition: pose vs. identity recognition of people and deforming objects. Front Comput Neurosci (2014) 0.79
A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans. Sci Rep (2016) 0.78
How lateral connections and spiking dynamics may separate multiple objects moving together. PLoS One (2013) 0.78
Invariant recognition of visual objects: some emerging computational principles. Front Comput Neurosci (2012) 0.77
Spatiotemporal information during unsupervised learning enhances viewpoint invariant object recognition. J Vis (2015) 0.76
The development of newborn object recognition in fast and slow visual worlds. Proc Biol Sci (2016) 0.75
Exploiting temporal continuity of views to learn visual object invariance. Front Neurosci (2013) 0.75
Computational modeling of the neural representation of object shape in the primate ventral visual system. Front Comput Neurosci (2015) 0.75
View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation. Curr Biol (2016) 0.75
Invariant visual object recognition: biologically plausible approaches. Biol Cybern (2015) 0.75
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J Physiol (1962) 33.15
Hierarchical models of object recognition in cortex. Nat Neurosci (1999) 7.40
Robust object recognition with cortex-like mechanisms. IEEE Trans Pattern Anal Mach Intell (2007) 4.16
Neocognitron: a self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol Cybern (1980) 4.13
Becoming a "Greeble" expert: exploring mechanisms for face recognition. Vision Res (1997) 3.11
Slow feature analysis: unsupervised learning of invariances. Neural Comput (2002) 2.26
Invariant face and object recognition in the visual system. Prog Neurobiol (1997) 2.25
Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol (2007) 2.02
Unsupervised natural experience rapidly alters invariant object representation in visual cortex. Science (2008) 1.98
A model of the ventral visual system based on temporal stability and local memory. PLoS Biol (2006) 1.83
Effects of temporal association on recognition memory. Proc Natl Acad Sci U S A (2001) 1.70
'Breaking' position-invariant object recognition. Nat Neurosci (2005) 1.52
Slowness and sparseness lead to place, head-direction, and spatial-view cells. PLoS Comput Biol (2007) 1.38
Unsupervised natural visual experience rapidly reshapes size-invariant object representation in inferior temporal cortex. Neuron (2010) 1.29
Learning viewpoint invariant object representations using a temporal coherence principle. Biol Cybern (2005) 1.02
Learning illumination- and orientation-invariant representations of objects through temporal association. J Vis (2009) 0.99
Learning viewpoint invariant perceptual representations from cluttered images. IEEE Trans Pattern Anal Mach Intell (2005) 0.89
View-based models of 3D object recognition: invariance to imaging transformations. Cereb Cortex (1995) 0.88
Prediction of central nervous system embryonal tumour outcome based on gene expression. Nature (2002) 15.36
Identification and analysis of alternative splicing events conserved in human and mouse. Proc Natl Acad Sci U S A (2005) 5.26
Fast readout of object identity from macaque inferior temporal cortex. Science (2005) 4.54
Robust object recognition with cortex-like mechanisms. IEEE Trans Pattern Anal Mach Intell (2007) 4.16
A feedforward architecture accounts for rapid categorization. Proc Natl Acad Sci U S A (2007) 3.43
A comparison of primate prefrontal and inferior temporal cortices during visual categorization. J Neurosci (2003) 3.00
Neural mechanisms for the recognition of biological movements. Nat Rev Neurosci (2003) 2.70
Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex. Neuron (2006) 2.55
Dynamic population coding of category information in inferior temporal and prefrontal cortex. J Neurophysiol (2008) 2.14
Neural mechanisms of object recognition. Curr Opin Neurobiol (2002) 1.90
Visual categorization and the primate prefrontal cortex: neurophysiology and behavior. J Neurophysiol (2002) 1.88
Prefrontal cortex activity during flexible categorization. J Neurosci (2010) 1.64
Trade-off between object selectivity and tolerance in monkey inferotemporal cortex. J Neurosci (2007) 1.58
A model of V4 shape selectivity and invariance. J Neurophysiol (2007) 1.53
Experience-dependent sharpening of visual shape selectivity in inferior temporal cortex. Cereb Cortex (2005) 1.51
A canonical neural circuit for cortical nonlinear operations. Neural Comput (2008) 1.43
A quantitative theory of immediate visual recognition. Prog Brain Res (2007) 1.26
Automated home-cage behavioural phenotyping of mice. Nat Commun (2010) 1.26
Intracellular measurements of spatial integration and the MAX operation in complex cells of the cat primary visual cortex. J Neurophysiol (2004) 1.19
What and where: a Bayesian inference theory of attention. Vision Res (2010) 1.09
'United' we stand. Perception (2002) 1.07
The dynamics of invariant object recognition in the human visual system. J Neurophysiol (2013) 1.02
Invariant representations for action recognition in the visual system. J Vis (2015) 0.75
DONALD ARTHUR GLASER: 21 SEPTEMBER 1926 - 28 FEBRUARY 2013. Proc Am Philos Soc (2014) 0.75