Previous research has shown that the medial temporal lobes (MTL) are more strongly engaged when individuals think about the future than about the present, leading to the suggestion that future projection drives MTL engagement. However, future thinking tasks often involve scene processing, leaving open the alternative possibility that scene-construction demands, rather than future projection, ar...

It is well known that MTL with integer endpoints is unable to express all of monadic first-order logic of order and metric (FO(<,+1)). Indeed, MTL is unable to express the counting modalities Cn that assert a properties holds n times in the next time interval. We show that MTL with the counting modalities, MTL+C, is expressively complete for FO(<,+1). This result strongly supports the assertion...

Multi-Task Learning (MTL) is a learning paradigm in machine learning and its aim is to leverage useful information contained in multiple related tasks to help improve the generalization performance of all the tasks. In this paper, we give a survey for MTL. First, we classify different MTL algorithms into several categories: feature learning approach, low-rank approach, task clustering approach,...

In this issue of Neuron, Quian Quiroga et al. (2014) show that neurons in the human medial temporal lobe (MTL) follow subjects' perceptual states rather than the features of the visual input. Patients with MTL damage however have intact perceptual abilities but suffer instead from extreme forgetfulness. Thus, the reported MTL neurons could create new memories of the current perceptual state.

Research on factors associated with motivation to learn (MtL) is limited, particularly among middle-aged adults and immigrants. This study examines educational attainment, literacy skills, nativity (foreign-born vs. native-born) as predictors of MtL in living the United States. Nationally representative data between ages 40 65 years were obtained from 2012/2014 Program for International Assessm...

Neurons in the medial temporal lobe (MTL) respond selectively to pictures of specific individuals, objects, and places. However, the underlying mechanisms leading to such degree of stimulus selectivity are largely unknown. A necessary step to move forward in this direction involves the identification and characterization of the different neuron types present in MTL circuitry. We show that putat...

Cognitive scientists have used developments in functional imaging to explore the role of the medial temporal lobe (MTL) in memory formation. Lesion studies have suggested that separate MTL subregions make distinct contributions to memory. Functional imaging of these distinct contributions, however, remains a challenge, because the proximity of the MTL substructures tests the spatial resolution ...

This paper describes experiments done to demonstrate the effectiveness of Multi-task Learning (MTL) for software agents. The experiments were carried out on an agent for processing electronic mail (email). MTL is shown to slightly improve the learning rate in this domain over Single-task Learning (STL) in a k-nearest-neighbor implementation. We then introduce a new method of lazy learning we ca...

The MIT Microsystems Technology Laboratories (MTL) is an interdepartmental laboratory with a mission to foster research and education in semiconductor process and device technology and in integrated circuits and systems design. MTL provides microand nanofabrication and computer-aided design (CAD) infrastructure to the entire campus. MTL has 30 core faculty members who are engaged in diverse res...