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Quasiuniversal scaling in mouse-brain neuronal activity stems from edge-of-instability critical dynamics
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 …
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 …
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 …
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 …
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
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 …
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
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 …
function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is usually …
Multiscale analysis of neural spike trains
This paper studies the multiscale analysis of neural spike trains, through both graphical and
Poisson process approaches. We introduce the interspike interval plot, which …
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
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 …
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'
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 …
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
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 …
the rotation of methyl groups in a protein (calmodulin (CaM)) on binding a ligand (the …