Neurally plausible, non-combinatorial iterative independent process analysis

A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation

Visual object recognition occurs easily despite differences in position, size, and rotation of the object, but the neural mechanisms responsible for this invariance are not known. We have found a set of transforms that achieve invariance in a neurally plausible way. We find that a transform based on local spatial frequency analysis of oriented segments and on logarithmic mapping, when applied t...

Connectionist mechanisms for cognitive control

An understanding of cognitive control is crucial for understanding high-level cognition and delineating the functional role of prefrontal cortex in supporting complex cognitive operations. In this paper, we approach the problem of cognitive control by examining the control needs of SHRUTI, a neurally plausible and cognitively motivated model of inference and decision-making. It is shown that pr...

An Analysis of Linear Prices in Iterative Combinatorial Auctions

Ask prices are the most essential form of information feedback in Iterative Combinatorial Auctions (ICA) and vital in achieving an efficient auction outcome. Different pricing concepts have been analyzed in the literature, including linear, non-linear and discriminative non-linear prices. Linear prices, i.e. per-item prices, are intuitive and easy to understand for bidders, however, under certa...

Some Geometrical Bases for Incremental-Iterative Methods (RESEARCH NOTE)

Finding the equilibrium path by non-linear structural analysis is one of the most important subjects in structural engineering. In this way, Incremental-Iterative methods are extremely used. This paper introduces several factors in incremental steps. In addition, it suggests some control criteria for the iterative part of the non-linear analysis. These techniques are based on the geometric of e...

Toward A Neurally Plausible Language Of Thought