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Concept

Java Database Connectivity

Related publications (10)

Selective attention involves a feature-specific sequential release from inhibitory gating

David Pascucci, Gijs Plomp

Selective attention is a fundamental cognitive mechanism that allows our brain to preferentially process relevant sensory information, while filtering out distracting information. Attention is thought to flexibly gate the communication of irrelevant inform ...

2022

Modeling time-varying brain networks with a self-tuning optimized Kalman filter

Gijs Plomp, David Pascucci

Brain networks are complex dynamical systems in which directed interactions between different areas evolve at the sub-second scale of sensory, cognitive and motor processes. Due to the highly non-stationary nature of neural signals and their unknown noise ...

2020

A hybrid framework for industrial data storage and exploitation

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos, Ioannis Tourkogiorgis

In this paper a hybrid framework is illustrated, with a software and hardware integration strategy, for an industrial platform that exploits features from a Relational Database (RDB) and Triplestore using the blackboard architectural pattern, ensuring effi ...

Elsevier2019

Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies

Christian O'Reilly

Background Although it is well recognized that autism is associated with altered patterns of over-and under-connectivity, specifics are still a matter of debate. Little has been done so far to synthesize available literature using whole-brain electroenceph ...

Public Library of Science2017

Eigenmaps Of Dynamic Functional Connectivity: Voxel-Level Dominant Patterns Through Eigenvector Centrality

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Dynamic functional connectivity (dFC) based on resting-state functional magnetic resonance imaging (fMRI) explores the ongoing temporal configuration of brain networks. To reduce the large dimensionality of the data, conventional dFC analysis usually fores ...

IEEE2016

Agile in-litero experiments : how can semi-automated information extraction from neuroscientific literature help neuroscience model building?

Renaud Luc Richardet

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles in peer-reviewed journals. One challenge for modern neuroinformatics is to design methods to make the knowledge from the tremend ...

EPFL2016

Automated Physical Designers: What You See is (Not) What You Get

Anastasia Ailamaki, Ioannis Alagiannis, Renata Borovica-Gajic

The explosion of available data in the last few years has increased the importance of physical database design, since the selection of proper physical structures (e.g. indices, partitions and materialized views) may improve query execution performance by s ...

ACM2012

Deadlock Immunity : Enabling General-Purpose Software to Defend Itself against Deadlocks

Horatiu Jula

Deadlock immunity is a property by which programs, once afflicted by a deadlock, develop resistance against future occurrences of that deadlock. We enable real applications to automatically achieve immunity against deadlock bugs involving mutex locks, sema ...

EPFL2011

Drivolution: Rethinking the Database Driver Lifecycle

George Candea, Emmanuel Cecchet

The current design of database drivers – a necessary evil for interacting with a DBMS – imposes undue burdens on those who install, upgrade, and manage database systems and their applications. In this paper, we introduce Drivolution, a new architecture for ...

2009

The Flux: Creating a Large Annotated Image Database

Sabine Süsstrunk, Patrick Vandewalle, Patrick Merryl Marlon Schönmann

From image retrieval to image classification, all research shares one common requirement: a good image database to test or train the algorithms. In order to create a large database of images, we set up a project that allowed gathering a collection of more ...

2008