VAMP (Voting Agent Model of Preferences): A computational model of individual multi-attribute choice.

This paper proposes an original account of decision anomalies and a computational alternative to existing dynamic models of multi-attribute choice. To date, most models attempting to account for the "Big Three" decision anomalies (similarity, attraction, and compromise effects) are variants of evidence accumulation models, or rational Bayesian analysis. This paper provides an existence proof of a new approach in the form of a multi-agent system based on the principles of voting geometry.

Moderate levels of activation lead to forgetting in the think/no-think paradigm.

Using the think/no-think paradigm (Anderson & Green, 2001), researchers have found that suppressing retrieval of a memory (in the presence of a strong retrieval cue) can make it harder to retrieve that memory on a subsequent test. This effect has been replicated numerous times, but the size of the effect is highly variable. Also, it is unclear from a neural mechanistic standpoint why preventing recall of a memory now should impair your ability to recall that memory later.

Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments.

In this paper we show that a corpus of a few thousand Wikipedia articles about concrete or visualizable concepts can be used to produce a low-dimensional semantic feature representation of those concepts. The purpose of such a representation is to serve as a model of the mental context of a subject during functional magnetic resonance imaging (fMRI) experiments. A recent study [19] showed that it was possible to predict fMRI data acquired while subjects thought about a concrete concept, given a representation of those concepts in terms of semantic features obtained with human supervision.

Generating text from functional brain images.

Recent work has shown that it is possible to take brain images acquired during viewing of a scene and reconstruct an approximation of the scene from those images. Here we show that it is also possible to generate text about the mental content reflected in brain images. We began with images collected as participants read names of concrete items (e.

A neural network model of retrieval-induced forgetting.

Retrieval-induced forgetting (RIF) refers to the finding that retrieving a memory can impair subsequent recall of related memories. Here, the authors present a new model of how the brain gives rise to RIF in both semantic and episodic memory. The core of the model is a recently developed neural network learning algorithm that leverages regular oscillations in feedback inhibition to strengthen weak parts of target memories and to weaken competing memories.

Beyond mind-reading: multi-voxel pattern analysis of fMRI data.

A key challenge for cognitive neuroscience is determining how mental representations map onto patterns of neural activity. Recently, researchers have started to address this question by applying sophisticated pattern-classification algorithms to distributed (multi-voxel) patterns of functional MRI data, with the goal of decoding the information that is represented in the subject's brain at a particular point in time. This multi-voxel pattern analysis (MVPA) approach has led to several impressive feats of mind reading.

How inhibitory oscillations can train neural networks and punish competitors.

We present a new learning algorithm that leverages oscillations in the strength of neural inhibition to train neural networks. Raising inhibition can be used to identify weak parts of target memories, which are then strengthened. Conversely, lowering inhibition can be used to identify competitors, which are then weakened.

Synthesis and antiinflammatory activity of novel 12 beta-substituted analogues of betamethasone.

A series of 9 alpha-halo-12 beta-hydroxy and 12 beta-acyloxy analogues of betamethasone 17,21-dipropionate were synthesized and tested for topical antiinflammatory potency in the croton oil ear assay. The compounds were assayed for systemic absorption in the contralateral ear assay, in which it was found that 12 beta-hydroxy analogues 9, 13, and 15 were all absorbed but the corresponding 12 beta-esters 11a-e, 14, and 16 were not. On repeated high-dose applications to the mouse ear, there was no evidence of systemic absorption of any 12 beta-propionate ester as gauged by thymus weights (thymic involution) and plasma cortisol levels (adrenal suppression).

Synthesis and testing of 17a beta-hydroxy-7 alpha-methyl-D-homoestra-4,16-dien-3-one: a highly potent orally active androgen.

The title compound, 17a beta-hydroxy-7 alpha-methyl-D-homoestra-4,16-dien-3-one (3), was synthesized in five steps (17% overall yield) from 7 alpha-methylestrone methyl ether (5) and was found to possess oral androgenic activity, in excess of other known androgens, without using 17 alpha-alkyl substitution.