Quasiuniversal scaling in mouse-brain neuronal activity stems from edge-of-instability critical dynamics

GB Morales, S Di Santo, MA Muñoz - … of the National Academy of Sciences, 2023 - pnas.org
The brain is in a state of perpetual reverberant neural activity, even in the absence of
specific tasks or stimuli. Shedding light on the origin and functional significance of such a …

A real-time radar signal sorting method under Bayesian framework with dynamic cluster merging

M Wan, Y Zhang, Y Bai, Y Sun, Q Yu… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Traditional radar signal sorting (RSS) methods assume that all types of radar signals can be
stored and trained offline. However, the presence of noncooperative radar emitters makes …

Retention indices for most frequently reported essential oil compounds in GC

VI Babushok, IG Zenkevich - Chromatographia, 2009 - Springer
Retention indices were evaluated for one hundred most commonly reported essential oil
compounds in gas chromatography (GC) using a large retention index database. Retention …

On-chip noise sensor for integrated circuit susceptibility investigations

S Dhia, A Boyer, B Vrignon… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
With the growing concerns about electromagnetic compatibility of integrated circuits, the
need for accurate prediction tools and models to reduce risks of noncompliance becomes …

A new bin size index method for statistical analysis of multimodal datasets from materials characterization

T Jiang, S Luo, D Wang, Y Li, Y Wu, L He, G Zhang - Scientific Reports, 2023 - nature.com
This paper presents a normalized standard error-based statistical data binning method,
termed “bin size index”(BSI), which yields an optimized, objective bin size for constructing a …

Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms

D Endres, M Oram, J Schindelin… - Advances in neural …, 2007 - proceedings.neurips.cc
The peristimulus time historgram (PSTH) and its more continuous cousin, the spike density
function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is usually …

Multiscale analysis of neural spike trains

R Ramezan, P Marriott, S Chenouri - Statistics in medicine, 2014 - Wiley Online Library
This paper studies the multiscale analysis of neural spike trains, through both graphical and
Poisson process approaches. We introduce the interspike interval plot, which …

Impact of strong disorder on the static magnetic properties of the spin-chain compound BaCuSiGeO

T Shiroka, F Casola, W Lorenz, K Prša, A Zheludev… - Physical Review B …, 2013 - APS
The disordered quasi-one-dimensional magnet BaCu 2 SiGeO 7 is considered as one of the
best physical realizations of the random Heisenberg chain model, which features an …

Feature extraction from spike trains with Bayesian binning:'Latency is where the signal starts'

D Endres, M Oram - Journal of Computational Neuroscience, 2010 - Springer
The peristimulus time histogram (PSTH) and its more continuous cousin, the spike density
function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is usually …

Response of small-scale, methyl rotors to protein− ligand association: A simulation analysis of calmodulin− peptide binding

M Krishnan, JC Smith - Journal of the American Chemical Society, 2009 - ACS Publications
Changes in the free energy barrier (Δ E), entropy, and motional parameters associated with
the rotation of methyl groups in a protein (calmodulin (CaM)) on binding a ligand (the …