Convergence and divergence in a neural architecture for recognition and memory

@article{Meyer2009ConvergenceAD,
  title={Convergence and divergence in a neural architecture for recognition and memory},
  author={Kaspar Meyer and Antonio R. Damasio},
  journal={Trends in Neurosciences},
  year={2009},
  volume={32},
  pages={376-382}
}
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References

SHOWING 1-10 OF 44 REFERENCES
Imagery neurons in the human brain
TLDR
This study reveals single neuron correlates of volitional visual imagery in humans and suggests a common substrate for the processing of incoming visual information and visual recall.
Return of the mental image: are there really pictures in the brain?
Neural foundations of imagery
TLDR
Neuroimaging studies, combined with other methods, are revealing the ways in which imagery draws on mechanisms used in other activities, such as perception and motor control.
Topographical representations of mental images in primary visual cortex
TLDR
Findings resolve a debate in the literature about whether imagery activates early visual cortex and indicate that visual mental imagery involves 'depictive' representations, not solely language-like descriptions12–14.
Is visual imagery really visual? Overlooked evidence from neuropsychology.
  • M. Farah
  • Psychology, Art
    Psychological review
  • 1988
TLDR
Previously overlooked neuropsychological evidence on the relation between imagery and perception is reviewed, and its relative immunity to the foregoing alternative explanations is discussed.
Time-locked multiregional retroactivation: A systems-level proposal for the neural substrates of recall and recognition
Feeling with the mind's eye
TLDR
It is proposed that activation in left parieto-occipital cortex reflects the use of imagery-related visuo-spatial processes to enable the tactile discrimination of orientation.
Mental Imagery of Faces and Places Activates Corresponding Stimulus-Specific Brain Regions
TLDR
Evidence that imagery and perception share common processing mechanisms is strengthened, and it is demonstrated that the specific brain regions activated during mental imagery depend on the content of the visual image.
Audiovisual mirror neurons and action recognition
TLDR
A population of neurons in the ventral premotor cortex of the monkey that discharge both when the animal performs a specific action and when it hears or sees the same action performed by another individual are described.
The role of area 17 in visual imagery: convergent evidence from PET and rTMS.
TLDR
PET results showed that when patterns of stripes are visualized, Area 17 is activated, and the rTMS results show that such activation underlies information processing.
...
...