Publications related to Statistical learning in language acquisition

High-speed multiplane structured illumination microscopy of living cells using an image-splitting prism

Theo Lasser, Aleksandra Radenovic, Tomas Lukes, Vytautas Navikas, Adrien Charles-François Raymond Descloux

Super-resolution structured illumination microscopy (SR-SIM) can be conducted at video-rate acquisition speeds when combined with high-speed spatial light modulators and sCMOS cameras, rendering it particularly suitable for live-cell imaging. If, however, ...

2020

Statistical Learning Impairments as a Consequence of Stroke

Albulena Jashari-Shaqiri

Statistical learning is the implicit learning of the contingencies between sequential stimuli, typically from mere exposure. It is present from infancy onward, and plays a role in functions from language learning to selective attention. Despite these obser ...

2018

Social babbling: The emergence of symbolic gestures and words

Aude Billard, Laura Bénédicte Marine Cohen

Language acquisition theories classically distinguish passive language understanding from active language production. However, recent findings show that brain areas such as Broca's region are shared in language understanding and production. Furthermore, th ...

PERGAMON-ELSEVIER SCIENCE LTD2018

Automated Taxonomy Induction and its Applications

Amit Gupta

Machine-readable semantic knowledge in the form of taxonomies (i.e., a collection of is-a edges) has proved to be beneficial in an array of NLP tasks including inference, textual entailment, question answering and information extraction. Such widespread ut ...

EPFL2017

Noise-Induced Phenomena in Collective Spinor Polariton Excitations

Hadis Abbaspour

Polaritons are quasiparticles resulting from the strong coupling between photons and excitons embedded in a semiconductor microcavity. The exciton component of polaritons provides strong nonlinear interactions, while their photonic counterpart facilitates ...

EPFL2015

Live-cell multiplane three-dimensional super-resolution optical fluctuation imaging

Theo Lasser, Françoise Gisou van der Goot Grunberg, Marcel Leutenegger, Noelia Laura Bocchio, Aurélien Godinat, Patrick Alain Sandoz, Azat Sharipov, Stefan Geissbuehler

Super-resolution optical fluctuation imaging (SOFI) provides an elegant way of overcoming the diffraction limit in all three spatial dimensions by computing higher-order cumulants of image sequences of blinking fluorophores acquired with a classical widefi ...

Nature Research2014

Scala-Virtualized: Linguistic Reuse for Deep Embeddings

Martin Odersky, Tiark Rompf, Philipp Haller, Nada Amin

Scala-Virtualized extends the Scala language to better support hosting embedded DSLs. Scala is an expressive language that provides a flexible syntax, type-level computation using implicits, and other features that facilitate the development of em- bedded ...

Springer Verlag2013

Spread spectrum for compressed sensing techniques in magnetic resonance imaging

Jean-Philippe Thiran, Rolf Gruetter, Pierre Vandergheynst, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Gilles Puy

Magnetic resonance imaging (MRI) probes signals through Fourier measurements. Accelerating the acquisition process is of major interest for various MRI applications. The recent theory of compressed sensing shows that sparse or compressible signals may be r ...

IEEE Signal Process. Soc.2010

XuvTools: free, fast and reliable stitching of large 3D datasets

Alessandra Griffa

Current biomedical research increasingly requires imaging large and thick 3D structures at high resolution. Prominent examples are the tracking of fine filaments over long distances in brain slices, or the localization of gene expression or cell migration ...

2009

Adaptive sensorimotor peripersonal space representation and motor learning for a humanoid robot

Micha Hersch

This thesis presents possible computational mechanisms by which a humanoid robot can develop a coherent representation of the space within its reach (its peripersonal space), and use it to control its movements. Those mechanisms are inspired by current the ...

EPFL2009

Computational models in the debate over language learnability

Frédéric Kaplan

Computational models have played a central role in the debate over language learnability. This article discusses how they have been used in different stances, from generative views to more recently introduced explanatory frameworks based on embodiment, cog ...

2008

Effect on Network Performance of Common versus Private Acquisition Sequences for Impulse Radio UWB Networks

Jean-Yves Le Boudec, Ruben Merz

Packet detection and timing acquisition for IR-UWB networks such as 802.15.4a relies on the presence of an acquisition sequence (or preamble) at the beginning of each packet. A simple network design choice is to use a common acquisition sequence for the wh ...

2006

Efficient integration of automated speech recognition in the framework of dialogue-based vocal systems

In this work, we propose different strategies for efficiently integrating an automated speech recognition module in the framework of a dialogue-based vocal system. The aim is the study of different ways leading to the improvement of the quality and robustn ...

EPFL2005