Browsing by Author "Ba, Demba E."
Now showing items 1-10 of 10
-
Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models
Ba, Demba; Temereanca, Simona; Brown, Emery N. (Frontiers Research Foundation, 2014-02)Understanding how ensembles of neurons represent and transmit information in the patterns of their joint spiking activity is a fundamental question in computational neuroscience. At present, analyses of spiking activity ... -
Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms for Sparse Signal Recovery in the Presence of Noise
Babadi, Behtash; Brown, Emery N.; Ba, Demba E.; Purdon, Patrick Lee (Institute of Electrical and Electronics Engineers (IEEE), 2013-10)In this paper, we study the theoretical properties of iteratively re-weighted least squares (IRLS) algorithms and their utility in sparse signal recovery in the presence of noise. We demonstrate a one-to-one correspondence ... -
Corticoamygdala Transfer of Socially Derived Information Gates Observational Learning
Allsop, Stephen Azariah; Wichmann, Romy; Mills, Fergil; Burgos-Robles, Anthony Noel; Chang, Chia-Jung; e.a. (Elsevier BV, 2018-05)Observational learning is a powerful survival tool allowing individuals to learn about threat-predictive stimuli without directly experiencing the pairing of the predictive cue and punishment. This ability has been linked ... -
Exact and stable recovery of sequences of signals with sparse increments via differential ℓ [subscript 1]-minimization
Ba, Demba E.; Babadi, Behtash; Purdon, Patrick; Brown, Emery N. (Neural Information Processing Systems Foundation, Inc., 2012-12)We consider the problem of recovering a sequence of vectors, (Xk)[K over k=0], for which the increments X[subscript k] - X[subscript k-1] are S[subscript k]-sparse (with S[subscript k] typically smaller than S[subscript ... -
Likelihood Methods for Point Processes with Refractoriness
Citi, Luca; Brown, Emery N.; Barbieri, Riccardo; Ba, Demba E. (MIT Press, 2014-01)Likelihood-based encoding models founded on point processes have received significant attention in the literature because of their ability to reveal the information encoded by spiking neural populations. We propose an ... -
Measuring the signal-to-noise ratio of a neuron
Czanner, Gabriela; Sarma, Sridevi V.; Eden, Uri T.; Wu, Wei; Eskandar, Emad; e.a. (National Academy of Sciences (U.S.), 2015-06)The signal-to-noise ratio (SNR), a commonly used measure of fidelity in physical systems, is defined as the ratio of the squared amplitude or variance of a signal relative to the variance of the noise. This definition is ... -
Missing mass approximations for the partition function of stimulus driven Ising models
Galuske, Ralf; Williams, Ziv; Pipa, Gordon; Haslinger, Robert Heinz; Ba, Demba E. (Frontiers Research Foundation, 2013-07)Ising models are routinely used to quantify the second order, functional structure of neural populations. With some recent exceptions, they generally do not include the influence of time varying stimulus drive. Yet if the ... -
Physostigmine and Methylphenidate Induce Distinct Arousal States During Isoflurane General Anesthesia in Rats
Kenny, Jonathan D.; Chemali, Jessica J.; Cotten, Joseph F.; Van Dort, Christa J.; Taylor, Norman E.; e.a. (Ovid Technologies (Wolters Kluwer Health), 2016-11)BACKGROUND: Although emergence from general anesthesia is clinically treated as a passive process driven by the pharmacokinetics of drug clearance, agents that hasten recovery from general anesthesia may be useful for ... -
A regularized point process generalized linear model for assessing the connectivity in the cat motor cortex
Ghosh, Soumya; Chen, Zhe; Putrino, David F.; Ba, Demba E.; Barbieri, Riccardo; e.a. (Institute of Electrical and Electronics Engineers, 2009-11)Identification of multiple simultaneously recorded neural spike train recordings is an important task in understanding neuronal dependency, functional connectivity, and temporal causality in neural systems. An assessment ... -
Robust spectrotemporal decomposition by iteratively reweighted least squares
Babadi, Behtash; Purdon, Patrick L.; Brown, Emery N.; Ba, Demba E. (National Academy of Sciences (U.S.), 2014-12)Classical nonparametric spectral analysis uses sliding windows to capture the dynamic nature of most real-world time series. This universally accepted approach fails to exploit the temporal continuity in the data and is ...