A novel point process model for neuronal spike trains [PDF]
Point process provides a mathematical framework for characterizing neuronal spiking activities. Classical point process methods often focus on the conditional intensity function, which describes the likelihood at any time point given its spiking history.
Yijia Ma, Wei Wu
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Artificial Photothermal Nociceptor Using Mott Oscillators
Bioinspired sensory systems based on spike neural networks have received considerable attention in resolving high energy consumption and limited bandwidth in current sensory systems. To efficiently produce spike signals upon exposure to external stimuli,
Pyeongkang Hur +4 more
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Although income is an important predictor of life satisfaction, the precise forces that drive this relationship remain unclear. We propose that financial resources afford individuals a path to reducing the distressing impact of everyday hassles, in turn increasing one’s life satisfaction.
Jon Jachimowicz +4 more
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Low-Intensity Electrical Stimulation Affects Network Dynamics by Modulating Population Rate and Spike Timing [PDF]
Clinical effects of transcranial electrical stimulation with weak currents are remarkable considering the low amplitude of the electric fields acting on the brain. Elucidating the processes by which small currents affect ongoing brain activity is of paramount importance for the rational design of noninvasive electrotherapeutic strategies and to ...
Davide, Reato +3 more
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Effect of Spike Lavender Lakhlakhe on Pain Intensity Due to Phlebotomy Procedure in Premature Infants Hospitalized in Neonatal Intensive Care Unit: A Randomized Clinical Trial [PDF]
Background: A Premature infants undergo multiple painful procedures during treatment; thus, it must be tried to limit complications caused by diagnostic and treatment procedures using simple and practical methods. This study was performed to evaluate the
Noushin Beheshtipoor +4 more
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Putative null distributions corresponding to tests of differential expression in the Golden Spike dataset are intensity dependent [PDF]
We provide a re-analysis of the Golden Spike dataset, a first generation "spike-in" control microarray dataset. The original analysis of the Golden Spike dataset was presented in a manuscript by Choe et al. and raised questions concerning the performance of several statistical methods for the control of the false discovery rate (across a set of tests ...
Gaile Daniel P, Miecznikowski Jeffrey C
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Noise and Synchronization Analysis of the Cold-Receptor Neuronal Network Model
This paper analyzes the dynamics of the cold receptor neural network model. First, it examines noise effects on neuronal stimulus in the model. From ISI plots, it is shown that there are considerable differences between purely deterministic simulations ...
Ying Du, Rubin Wang, Jingyi Qu
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Conditional intensity/point process model of task-related prefrontal spiking: effects of performance [PDF]
The spiking activity of neurons in the prefrontal associational cortex (PFC) of animals engaged in cognitive tasks is posited to reflect diverse set of independent cognitive and behavioral processes required for the successful attainment of future goals. Additionally, a neural representation of past information (i.e.
Devilbiss, David M +2 more
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Primate retina trades single-photon detection for high-fidelity contrast encoding
How the spike output of the retina enables human visual perception is not fully understood. Here, we address this at the sensitivity limit of vision by correlating human visual perception with the spike outputs of primate ON and OFF parasol ...
Markku Kilpeläinen +6 more
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Complex latency dynamics of biological neuron model under effect of electromagnetic induction
In this study, the effect of electromagnetic induction on spike latency dynamics in the Hodgkin–Huxley (H–H) neuron is investigated. It has been shown that the timing of first spikes is an effective information carrier and delay in the first spike ...
Ali Calim
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