21 papers · ranked by Valyu relevance
Gabriel Mahuas, Thomas Buffet, Olivier Marre, Ulisse Ferrari + 1 more
Neural correlations play a critical role in sensory information coding. They are of two kinds: signal correlations, when neurons have overlapping sensitivities, and noise correlations from network effects and shared noise. It is commonly thought that stimulus and noise correlations should have opposite signs to improve…
Mina Sadeghi, Xiu Zhai, Ian H. Stevenson, Monty A. Escabí + 1 more
'Manuel S. Malmierca'] Humans and other animals effortlessly identify natural sounds and categorize them into behaviorally relevant categories. Yet, the acoustic features and neural transformations that enable sound recognition and the formation of perceptual categories are largely unknown. Here, using multichannel…
Maulik Parikh, Francesco Setti
We consider quantum gravity fluctuations in a pair of nearby gravitational wave detectors. Quantum fluctuations of long-wavelength modes of the gravitational field induce coherent fluctuations in the detectors, leading to correlated noise. We determine the variance and covariance in the lengths of the arms of the…
Jackson E. T. Smith, Andrew J. Parker
Human psychophysical studies demonstrate that visual detection thresholds are sometimes close to the limits imposed by the physics of the stimulus. Another potential limit is the variable spiking of cortical neurons, which theoretically reduces information about the stimulus. The correlation structure of noise in the…
Gabriel Mahuas, Thomas Buffet, Olivier Marre, Ulisse Ferrari + 1 more
coding Authors: ['Gabriel Mahuas' 'Thomas Buffet' 'Olivier Marre' 'Ulisse Ferrari' 'Thierry Mora'] Neural correlations play a critical role in sensory information coding. They are of two kinds: signal correlations, when neurons have overlapping sensitivities, and noise correlations from network effects and shared…
Isaac Wong, P. T. H. Pang, M Wils, Francesco Cireddu + 2 more
Gravitational Wave Detectors Authors: ['Isaac Wong' 'P. T. H. Pang' 'M Wils' 'Francesco Cireddu' 'W. Del Pozzo' 'Tjonnie G. F. Li'] Building upon the statistical formulation for parameter estimation in the presence of correlated noise proposed by Cireddu et al., we present the initial study to incorporate the effects…
Oren Weiss, Hayley A. Bounds, Hillel Adesnik, Ruben Coen-Cagli
Divisive normalization, a prominent descriptive model of neural activity, plays a key role in influential theories of neural coding. Yet, the relationship between normalization and the statistics of neural activity beyond single neurons remains largely unexplored. Here we focus on noise correlations, a widely studied…
David P. A. Schulz, Maneesh Sahani, Matteo Carandini
The responses of cortical neurons to repeated presentation of a stimulus are highly variable, yet correlated. These “noise correlations” reflect a low-dimensional structure of population dynamics. Here, we examine noise correlations in 22,705 pairs of neurons in primary visual cortex (V1) of anesthetized cats, during…
Volker Pernice, Rava Azeredo da Silveira, Brent Doiron
Neural populations respond to the repeated presentations of a sensory stimulus with correlated variability. These correlations have been studied in detail, with respect to their mechanistic origin, as well as their influence on stimulus discrimination and on the performance of population codes. A number of theoretical…
C. R. Gwinn, Michael D. Johnson, J. E. Reynolds, D. L. Jauncey + 11 more
'A. K. Tzioumis' 'S. M. Dougherty' 'Brent Carlson' 'D. Del Rizzo' 'H. Hirabayashi' 'Hideyuki Kobayashi' 'Yasuhiro Murata' 'P. G. Edwards' 'J. F. H. Quick' 'C. S. Flanagan' 'P. M. McCulloch'] We compare the noise in interferometric measurements of the Vela pulsar from ground- and space-based antennas with theoretical…
Y. Himemoto, Atsushi Taruya
Direct detection of gravitational waves (GWs) from compact binary systems suggests that the merger rate of such events is large, and the sum of their GWs can be viewed as stochastic signals. Because of its random nature, cross-correlating the signals from multiple detectors is essential to disentangle the GWs from…
Mohammad Mohammadi, Jerome Carriot, Isabelle Mackrous, Kathleen E. Cullen + 2 more
'Kathleen E. Cullen' 'Maurice J. Chacron' 'Manuel S. Malmierca'] How the activities of large neural populations are integrated in the brain to ensure accurate perception and behavior remains a central problem in systems neuroscience. Here, we investigated population coding of naturalistic self-motion by neurons within…
Toshiyuki Takahashi, Yoshiko Maruyama, Hiroyuki Ito, Keiji Miura
Despite the profound influence on coding capacity of sensory neurons, the measurements of noise correlations have been inconsistent. This is, possibly, because nonstationarity, i.e., drifting baselines, engendered the spurious long-term correlations even if no actual short-term correlation existed. Although attempts to…
Hiroshi Tamura
Spiking activity often correlates across neurons in the cerebral cortex. Precise spike-timing correlation at millisecond scale reflects underlying neural circuitries. Correlations of stimulus evoked spiking activities affects the distributions of spike counts in a multi-neuron space and reflects stimulus encoding…
Jillian Doyle, Alan C. Evans
Random noise plays a beneficial role in cognitive processing and produces measurable improvement in simulations and biological agents' task performance. Stochastic facilitation, the phenomenon of additive noise improving signal transmission in complex systems, has been shown to occur in a variety of neural contexts.…
Authors not listed
MAS-DNP has markedly improved the inherently low sensitivity of NMR, enabling advanced applications such as multidimensional correlation experiments (e.g., 13C -13C , 13C -15N ) at natural isotopic abundance (NA). However, these experiments are frequently hindered by 𝑡1-noise, an artifact resulting from experimental…
Sterling G. Baird, Eric R. Homer, David T. Fullwood, Oliver K. Johnson
We apply a newly developed Voronoi fundamental zone (VFZ) framework to gain insights about grain boundary (GB) structure-property relationships in the five degree-of-freedom (5DOF) space of cubic GBs. We analyze the shape and size of a 5DOF fundamental zone (FZ), molecular statics energy uncertainty, property…
Authors not listed
Scanning emission-based microscopies, such as X-ray fluorescence (XRF) and energy-dispersive X-ray spectroscopy, offer nanometer-scale chemical maps, but suffer from long acquisition times and radiation damage. Lower-flux and shorter dwell time scans mitigate this problem, but the resulting signal loss can only…
Kenneth D. Harris
Many neurophysiological signals exhibit slow continuous trends over time. Because standard correlation analyses assume that all samples are independent, they can yield apparently significant “nonsense correlations” even for signals that are completely unrelated. Here we compare the performance of several methods for…
Adeleke Maradesa, Baptiste Py, Ting Hei Wan, Mohammed B. Effat + 1 more
Electrochemical impedance spectroscopy (EIS) is a characterization technique used widely in electrochemistry. Obtaining EIS data is simple when modern electrochemical workstations are used; however, analyzing EIS spectra is still a considerable quandary. The distribution of relaxation times (DRT) has emerged as a…
Authors not listed
Surface hopping simulations critically depend on the accuracy and robustness of the underlying electronic structure methods. Fully correlated approaches—such as CASPT2, MRCI, L-PDFT, and MRSF-TDDFT—that account for both dynamic and static electron correlation offer significant promise. Still, their practical…