The synaptic connectivity of cortex is plastic, with experience shaping the ongoing interactions between neurons. Theoretical studies of spike timing-dependent plasticity (STDP) have focused on either just pairs of neurons or large-scale simulations. A simple analytic account for how fast spike time correlations affect both microscopic and macroscopic network structure is lacking. We develop a ...

Detecting deceptions of various kinds may be variously possible, but has little value if the deceiver cannot be identified. In this paper, we discuss our approach to Authorship Attribution that uses vector similarity with a frequencymean-variance framework for patterns of stopwords (no more than ten). The high frequency individual occurrences, and patterns of co-occurrence, can be used as ident...

Litman and Allen are concerned with the relationship between plan recognition in discourse and the underlying commonsense structures that are necessary to support the discourse. Building around a train-trip scenario, they demonstrate the importance of commonsense understanding of plans to the ability to analyze a discourse revolving around this plan. In this capacity they make the distinction b...

Neurons in the cerebral cortex respond inconsistently to a repeated sensory stimulus, yet they underlie our stable sensory experiences. Although the nature of this variability is unknown, its ubiquity has encouraged the general view that each cell produces random spike patterns that noisily represent its response rate. In contrast, here we show that reversibly inactivating distant sources of ei...

We present the calculation of the Wt single-top production channel to nextto-leading order in QCD, interfaced with parton showers within the MC@NLO formalism. This channel provides a complementary way of investigating the properties of the Wtb vertex, with respect to the sand t-channels. We pay special attention to the separation of this process from top quark pair production.

This mini-workshop will follow a “train-thetrainer” model. Experts will provide guidance and resources for college computing faculty who wish to organize workshops for high school computer science teachers. These workshops will enable the teachers to attract more and diverse students to their computer science classes, which will add to the college-bound population of students prepared for and i...

Data on 'neural coding' have frequently been analyzed using information-theoretic measures. These formulations involve the fundamental and generally difficult statistical problem of estimating entropy. We review briefly several methods that have been advanced to estimate entropy and highlight a method, the coverage-adjusted entropy estimator (CAE), due to Chao and Shen that appeared recently in...

Measures of multiple spike train synchrony are essential in order to study issues such as spike timing reliability, network synchronization, and neuronal coding. These measures can broadly be divided in multivariate measures and averages over bivariate measures. One of the most recent bivariate approaches, the ISI-distance, employs the ratio of instantaneous interspike intervals (ISIs). In this...

Spike train models are important for the development and calibration of data analysis methods and for the quantification of certain properties of the data. We study here the properties of a spike train model that can produce both oscillatory and non-oscillatory spike trains, faithfully reproducing the firing statistics of the original spiking data being modeled. Furthermore, using data recorded...