The pre-decisional process of hypothesis generation is a ubiquitous cognitive faculty that we continually employ in an effort to understand our environment and thereby support appropriate judgments and decisions. Although we are beginning to understand the fundamental processes underlying hypothesis generation, little is known about how various temporal dynamics, inherent in real world generati...

What happens to memories as we forget? They might gradually lose fidelity, lose their associations (and thus be retrieved in response to the incorrect cues), or be completely lost. Typical long-term memory studies assess memory as a binary outcome (correct/incorrect), and cannot distinguish these different kinds of forgetting. Here we assess long-term memory for scalar information, thus allowin...

Five experiments examined the relearning of words, simple line-drawing pictures, and complex photographic pictures after retention intervals of 1 to 10 weeks. For those items that were neither recalled nor recognized, the identical item was relearned better than an unrelated control item, as measured by a recall test following relearning. This relearning advantage in recall held for all three c...

Humans have a massive capacity to store detailed information in visual long-term memory. The present studies explored the fidelity of these visual long-term memory representations and examined how conceptual and perceptual features of object categories support this capacity. Observers viewed 2,800 object images with a different number of exemplars presented from each category. At test, observer...

In this paper we present a deep-learning system that competed at SemEval-2017 Task 6 “#HashtagWars: Learning a Sense of Humor”. We participated in Subtask A, in which the goal was, given two Twitter messages, to identify which one is funnier. We propose a Siamese architecture with bidirectional Long Short-Term Memory (LSTM) networks, augmented with an attention mechanism. Our system works on th...

A task-switching paradigm with a 2:1 mapping between cues and tasks was used to separate cue-switching processes (indexed through pure cue-switch costs) from actual task-switching processes (indexed through additional costs in case of cue and task changes). A large portion of total switch costs was due to cue changes (Experiments 1 and 2), and cue-switch costs but not task-switch costs were sen...

The following report introduces ideas augmenting standard Long Short Term Memory (LSTM) architecture with multiple memory cells per hidden unit in order to improve its generalization capabilities. It considers both deterministic and stochastic variants of memory operation. It is shown that the nondeterministic Array-LSTM approach improves stateof-the-art performance on character level text pred...

The brain stores various kinds of temporal sequences as long-term memories, such as motor sequences, episodes, and melodies. The present study aims at clarifying the general principle underlying such memories. For this purpose, the memory mechanism of sequential patterns is examined from the viewpoint of computational theory and neural network modeling, and a neural network model of sequential ...

Analogical reasoning is a landmark of human cognition. Based on the realization that the elements of two situations are organized by similar systems of relations, analogical inferences allow the transfer of knowledge structures from a better-known situation (the base analog) to a target situation that is relatively less understood (the target analog). Experimental research has demonstrated that...

We studied the dynamics of the process through which subjects build a visuomotor representation in memory as they learn a morphokinetic movement sequence presented on videotape. It was hypothesized that recall accuracy is closely tied to the dynamics of the movement-representation process. When analyzed in the form of time series, recall performance should exhibit a deterministic inter-trial re...