Results 101 to 110 of about 3,038,976 (302)

Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses

, 2016
Synaptic memory is considered to be the main element responsible for learning and cognition in humans. Although traditionally non-volatile long-term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications, recent
Roy, Kaushik, Sengupta, Abhronil
core   +1 more source

Variably Protease‐Sensitive Prionopathy: Two New Cases With Motor Neuron‐Dementia Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We describe two patients with variably protease‐sensitive prionopathy (VPSPr) who developed progressive upper motor neuron symptoms, insomnia, behavioral and cognitive decline, compatible with primary lateral sclerosis associated with frontotemporal dementia (FTD).
María Elena Erro, María Victoria Zelaya, Hasier Eraña, Javier Sánchez Ruiz de Gordoa, Fermín García‐Amigot, Anika Simonovska‐Serra, María Cristina Caballero, Isidre Ferrer, Ellen Gelpi, Ivonne Jericó, Joaquín Castilla   +10 more
wiley   +1 more source

Temperature and precipitation in the US states: long memory, persistence, and time trend. [PDF]

Theor Appl Climatol, 2022
Gil-Alana LA, Gupta R, Sauci L, Carmona-González N.   +3 more
europepmc   +1 more source

Memory functions and Correlations in Additive Binary Markov Chains

, 2006
A theory of additive Markov chains with long-range memory, proposed earlier in Phys. Rev. E 68, 06117 (2003), is developed and used to describe statistical properties of long-range correlated systems.
Abe S, Ebeling W Neiman A Poschel T, Fliess M, Kokol P, Li W, O V Usatenko, Picci G, S S Apostolov, S S Melnyk, V A Yampol'skii, van Schuppen J H, Voss R F, Yulmetyev R M, Z A Maiselis, Zhang Y C   +14 more
core   +1 more source

Spatial long memory [PDF]

Japanese Journal of Statistics and Data Science, 2019
AbstractWe discuss developments and future prospects for statistical modeling and inference for spatial data that have long memory. While a number of contributons have been made, the literature is relatively small and scattered, compared to the literatures on long memory time series on the one hand, and spatial data with short memory on the other. Thus,
openaire   +2 more sources

Neuropsychiatric Symptoms Mimicking Dementia in a Patient Treated With Imatinib

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Tyrosine kinase inhibitors are the cornerstone of chronic myeloid leukemia treatment. Newer agents have more potency and a broader spectrum of action, but also a higher potential for neuropsychiatric side effects. We present a case of a patient on imatinib who developed progressive cognitive, mood, and behavioral alterations.
Ashley Jones, Samuele Bonomi, Keith E. Stockerl‐Goldstein, Randall J. Bateman   +3 more
wiley   +1 more source

Modeling High Frequency Data with Long Memory and Structural Change: A-HYEGARCH Model

Risks, 2018
In this paper, we propose an Adaptive Hyperbolic EGARCH (A-HYEGARCH) model to estimate the long memory of high frequency time series with potential structural breaks.
Yanlin Shi, Yang Yang
doaj   +1 more source

BAYESIAN SEMIPARAMETRIC LONG MEMORY MODELS FOR DISCRETIZED EVENT DATA. [PDF]

Ann Appl Stat, 2022
Chakraborty A, Ovaskainen O, Dunson DB.
europepmc   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley   +1 more source

Adaptive Fractional Differencing for Learning-Optimal Long-Memory Preservation

IEEE Access
Forecasting and prediction in financial time series are fundamentally challenging due to non-stationarity and long-range dependence (LRD) nature of such series.
Sarit Maitra
doaj   +1 more source