Normal sensory experience rarely presents us with isolated bars, gratings, or other stimuli that have shaped our knowledge of sensory representations. Instead, typical input adheres to certain statistical regularities, which make it 'natural' and cannot be adequately modeled by linear superposition of simple stimuli. Natural stimuli necessitate a paradigm shift with a focus on downstream processing. This shift currently follows three main lines: quantification of the information a downstream area can read out (decoding); describing a representation as the optimization of computational principles with respect to natural input (normative approach); understanding the sensory representation as optimal for the systems' tasks and intended actions (behavioral context). The interaction between representational levels, intermediate-level features, and bidirectional coupling through attention are key elements for sensory processing.
We propose the parallel
Chen-Han (or PCH) algorithm, which extends the classic Chen-Han (CH) discrete
Geodesic algorithm to the parallel setting. The original CH algorithm and its
Variant both lack a parallel solution because the windows (a key data structure
That carries the shortest distance in th...
The objectives of this study were to determine the effects of a low-dose (≤1 kGy), low-penetration electron beam on the sensory qualities of (1) raw muscle pieces of beef and (2) cooked ground beef patties. Outside flat, inside round, brisket and sirloin muscle pieces were used...
We obtain a result about propagation of geometric properties for solutions of
The non-homogeneous incompressible Euler system in any dimension $N\geq2$. In
Particular, we investigate conservation of striated and conormal regularity,
Which is a natural way of generalizing the 2-D structure of vortex...
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