Starting from Marr's ideas about levels of explanation, a theory of the data structures and access processes in human memory is demonstrated on 10 tasks. Functional characteristics of human memory are captured implementation-independently. Our theory generates a multidimensional task classification subsuming existing classifications such as the distinction between tasks that are implicit versus explicit, data driven versus conceptually driven, and simple associative versus higher order, providing a broad basis for new experiments. The formal language clarifies the binding problem in episodic (...) memory, the role of input pathways in both episodic and semantic memory, the importance of the input set in episodic memory, and the ubiquitous calculation of an intersection in theories of episodic and lexical access. (shrink)

The focus of this paper is two-fold. First, similarities generated from six semantic models were compared to human ratings of paragraph similarity on two datasets—23 World Entertainment News Network paragraphs and 50 ABC newswire paragraphs. Contrary to findings on smaller textual units such as word associations (Griffiths, Tenenbaum, & Steyvers, 2007), our results suggest that when single paragraphs are compared, simple nonreductive models (word overlap and vector space) can provide better similarity estimates than more complex models (LSA, Topic Model, SpNMF, (...) and CSM). Second, various methods of corpus creation were explored to facilitate the semantic models’ similarity estimates. Removing numeric and single characters, and also truncating document length improved performance. Automated construction of smaller Wikipedia-based corpora proved to be very effective, even improving upon the performance of corpora that had been chosen for the domain. Model performance was further improved by augmenting corpora with dataset paragraphs. (shrink)

This commentary is divided into two parts. The first considers a possible role for Gray's predictor plus comparator mechanism in human episodic recognition memory. It draws on the computational specifications of recognition outlined in Humphreys et al. to demonstrate how the logically necessary components of recognition tasks might be mapped onto the mechanism. The second part demonstrates how the mechanism outlined by Gray might be implicated in a form of imitative learning suitable for the acquisition of complex tasks.

When dealing with the moving worlds of migration among the Persian diaspora in Australia, memories cannot simply be removed to dusty attic boxes to be stored as an archive. Rather, this analysis takes the body and its sensory engagement with the world as a central focus, arguing that memories are crafted, tasted, smelt and touched in everyday temporalities. In the kitchens and lounges of Persian migrant women the lived past refuses to become undone from the countless revolutions of food, talk (...) and domestic activity that are central to the patterning of memory. In this paper, we argue that these intimate practices have references beyond their domestic dimensions, for they point to a worldly movement of life writ domestically small. It is via a sensory network that the spatially and temporally disparate worlds of homeland and new homes are remembered and forgotten, and where miniature worlds call out to the movement of migration. Indo-Pacific Journal of Phenomenology , Volume 7, Edition 2 September 2007. (shrink)

Bastin et al. present a framework that draws heavily on existing ideas of dual processes in memory in order to make predictions about memory deficits in clinical populations. It has been difficult to find behavioral evidence for multiple memory processes but we offer some evidence for dual processes in a related domain: memory for the time-of-occurrence of events.