It takes a fraction of a second to recognize a person or an object even when seen under strikingly different conditions. How such a robust, high-level representation is achieved by neurons in the human brain is still unclear. In monkeys, neurons in the upper stages of the ventral visual pathway respond to complex images such as faces and objects and show some degree of invariance to metric properties such as the stimulus size, position and viewing angle. We have previously shown that neurons in the human medial temporal lobe (MTL) fire selectively to images of faces, animals, objects or scenes. Here we report on a remarkable subset of MTL neurons that are selectively activated by strikingly different pictures of given individuals, landmarks...
Decades of research have shed light on some of the computational elements that enable the extraordin...
The human visual system can learn to recognize visual stimuli rapidly. For example, humans can accur...
Vision is computationally challenging because objects in the real world can change in size, position...
It takes a fraction of a second to recognize a person or an object even when seen under strikingly d...
It remains unclear how single neurons in the human brain represent whole-object visual stimuli. Whil...
Experimental findings show the ubiquitous presence of graded responses and tuning curves in the neoc...
We used a face adaptation paradigm to bias the perception of ambiguous images of faces and study how...
Neurophysiological evidence is described, showing that some neurons in the macaque temporal cortical...
SummaryDifferent pictures of Marilyn Monroe can evoke the same percept, even if greatly modified as ...
SummaryWe used a face adaptation paradigm to bias the perception of ambiguous images of faces and st...
Although a large number of neuropsychological and imaging studies have demonstrated that the medial ...
The hippocampus, amygdala and entorhinal cortex receive convergent input from temporal neocortical r...
AbstractThe hippocampus and its associated structures play a key role in human memory, yet the under...
Neurons in the human medial temporal lobe (MTL) that are selective for the identity of specific peop...
As human beings interact with the world, we sample it, build representations of its underlying struc...
Decades of research have shed light on some of the computational elements that enable the extraordin...
The human visual system can learn to recognize visual stimuli rapidly. For example, humans can accur...
Vision is computationally challenging because objects in the real world can change in size, position...
It takes a fraction of a second to recognize a person or an object even when seen under strikingly d...
It remains unclear how single neurons in the human brain represent whole-object visual stimuli. Whil...
Experimental findings show the ubiquitous presence of graded responses and tuning curves in the neoc...
We used a face adaptation paradigm to bias the perception of ambiguous images of faces and study how...
Neurophysiological evidence is described, showing that some neurons in the macaque temporal cortical...
SummaryDifferent pictures of Marilyn Monroe can evoke the same percept, even if greatly modified as ...
SummaryWe used a face adaptation paradigm to bias the perception of ambiguous images of faces and st...
Although a large number of neuropsychological and imaging studies have demonstrated that the medial ...
The hippocampus, amygdala and entorhinal cortex receive convergent input from temporal neocortical r...
AbstractThe hippocampus and its associated structures play a key role in human memory, yet the under...
Neurons in the human medial temporal lobe (MTL) that are selective for the identity of specific peop...
As human beings interact with the world, we sample it, build representations of its underlying struc...
Decades of research have shed light on some of the computational elements that enable the extraordin...
The human visual system can learn to recognize visual stimuli rapidly. For example, humans can accur...
Vision is computationally challenging because objects in the real world can change in size, position...