Representation of three-dimensional visual space in the cerebral cortex

1988 ◽  
Vol 66 (4) ◽  
pp. 478-487 ◽  
Author(s):  
John H. R. Maunsell

This article reviews two issues relevant to the topic of how three-dimensional space is represented in the cerebral cortex. The first is the question of how individual neurons encode information that might contribute to stereoscopic estimation of visual depth. Particular attention is given to the current understanding of the neural representation of motion through three-dimensional space and to the complexities that arise in interpreting neuronal responses to this complex stimulus parameter. The second issue considered is the disorderliness that exists in the retinotopic mapping of the visual field in some cortical visual areas. Several extrastriate areas have been found to contain maps of the contralateral visual hemifield that are disorderly in the sense that the representation of various parts of the visual field are often misplaced or grossly over-or under-represented. It is suggested that this disorderliness may in some cases represent adaptations to facilitate certain types of visual functions.

2008 ◽  
Vol 5 (1) ◽  
pp. 117-121 ◽  
Author(s):  
Hironobu Ito ◽  
Naoyuki Yamamoto

A large skull is disadvantageous to animals that move quickly in three-dimensional space, such as fishes and birds in water or air. A cerebral neocortex with a six-layered sheet has not evolved, most likely due to the limited cranial space. Instead of the laminar cortex, telencephalic nuclear masses seem to have evolved as the pallium in teleost fishes. We consider that the nuclear masses contain rather simple neural circuits sharing a skeleton of simple circuits in the mammalian cortex, which have been elaborated by additional circuits in mammals. Such basic similarities at the connectional level shared by nuclear and cortical pallium might underlie similar or equivalent functions.


2013 ◽  
Vol 36 (5) ◽  
pp. 544-545 ◽  
Author(s):  
Michael Barnett-Cowan ◽  
Heinrich H. Bülthoff

AbstractJeffery et al. propose a non-uniform representation of three-dimensional space during navigation. Fittingly, we recently revealed asymmetries between horizontal and vertical path integration in humans. We agree that representing navigation in more than two dimensions increases computational load and suggest that tendencies to maintain upright head posture may help constrain computational processing, while distorting neural representation of three-dimensional navigation.


1997 ◽  
Vol 84 (1) ◽  
pp. 176-178
Author(s):  
Frank O'Brien

The author's population density index ( PDI) model is extended to three-dimensional distributions. A derived formula is presented that allows for the calculation of the lower and upper bounds of density in three-dimensional space for any finite lattice.


2019 ◽  
Author(s):  
Jumpei Morimoto ◽  
Yasuhiro Fukuda ◽  
Takumu Watanabe ◽  
Daisuke Kuroda ◽  
Kouhei Tsumoto ◽  
...  

<div> <div> <div> <p>“Peptoids” was proposed, over decades ago, as a term describing analogs of peptides that exhibit better physicochemical and pharmacokinetic properties than peptides. Oligo-(N-substituted glycines) (oligo-NSG) was previously proposed as a peptoid due to its high proteolytic resistance and membrane permeability. However, oligo-NSG is conformationally flexible and is difficult to achieve a defined shape in water. This conformational flexibility is severely limiting biological application of oligo-NSG. Here, we propose oligo-(N-substituted alanines) (oligo-NSA) as a new peptoid that forms a defined shape in water. A synthetic method established in this study enabled the first isolation and conformational study of optically pure oligo-NSA. Computational simulations, crystallographic studies and spectroscopic analysis demonstrated the well-defined extended shape of oligo-NSA realized by backbone steric effects. The new class of peptoid achieves the constrained conformation without any assistance of N-substituents and serves as an ideal scaffold for displaying functional groups in well-defined three-dimensional space, which leads to effective biomolecular recognition. </p> </div> </div> </div>


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