A neuromorphic VLSI circuit for spike-based random sampling

CH Chien, SC Liu, A Steimer - IEEE Transactions on Emerging …, 2015 - ieeexplore.ieee.org
This paper presents a novel, neuromorphic circuit that produces a continuous stream of
analog random samples. The circuit encodes these samples by the temporal difference …

Assessing significance of information flow in high dimensional dynamical systems with few data

RP Anderson, M Porfiri - Dynamic Systems …, 2014 - asmedigitalcollection.asme.org
Information-theoretical notions of causality provide a model-free approach to identification of
the magnitude and direction of influence among sub-components of a stochastic dynamical …

Semantic spaces: Behavior, language and word learning in the human speechome corpus

MA Miller - 2011 - dspace.mit.edu
The Human Speechome Project is an unprecedented attempt to record, analyze and
understand the process of language acquisition. It is composed of over 90,000 hours of …

Evolution of language: An empirical study at eBay Big Data Lab

D Bodoff, R Bekkerman, J Dai - PloS one, 2017 - journals.plos.org
The evolutionary theory of language predicts that a language will tend towards fewer
synonyms for a given object. We subject this and related predictions to empirical tests, using …

Towards trustworthy social computing systems

B Viswanath - 2016 - publikationen.sulb.uni-saarland.de
The rising popularity of social computing systems has managed to attract rampant forms of
service abuse that negatively affects the sustainability of these systems and degrades the …

[PDF][PDF] Spectral Probablistic Modeling and Applications to Natural Language Processing

A Parikh - 2015 - reports-archive.adm.cs.cmu.edu
Probabilistic modeling with latent variables is a powerful paradigm that has led to key
advances in many applications such natural language processing, text mining, and …

[CITÁCIA][C] A Neuromorphic VLSI Circuit for Spike-Based Random Sampling

A STEIMER