Non-linear integrate-and-fire models
Extracting non linear integrate and fire models from experimental data using dynamic I–V curves
... tractable non-linear integrate- and-fire ...reduced models of cortical layer-5 pyramidal cells and interneurons, in injected-current and injected- conductance ...ron models—of ...
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Equivalence of phase-oscillator and integrate-and-fire models
... pulse-coupled integrate-and-fire ...such models was proposed in the context of heart activity [13], but is nowadays quite popular in computational neuroscience, where it is widely used to clarify the ...
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Spike trains statistics in integrate and fire models: exact results.
... We would like to point that the main ingredients making this model-statistics so complex are causality induced by dynamics, and integration over past events via the leak term. We don’t see any reason why the situation ...
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The Performance (and Limits) of Simple Neuron Models: Generalizations of the Leaky Integrate-and-Fire Model
... neuron models presented in this chapter present an idealized ...these models consider the neuron as a point with no spatial ...of non- linear interactions between the ...extensive ...
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Non linear models: applications in economics
... how non-linear modelling can be useful to investigate the behavioural of dynamic economic ...adequate non-linear models could be a good way to find more refined solutions to actually ...
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Tracking with Non-Linear Dynamic Models
... FIGURE 2.6: If a weak motion model is used to track a person with a particle filter, the likelihood function can create serious problems. This is because the state is high- dimensional, and there are many local peaks in ...
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Non Linear Models for Confidence Estimation
... 1 The complete list of features is given in Appendix A. Figure 1: Distribution of the human scores on the train set. (HS ∗ stands for Human Scores) Figure 2 plots the distribution of quality scores as a function of the ...
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Effect of Linear and Non-Linear IVIVC Models on In- Vivo Predictions
... poor linear IVIVC model shown in Figure ...of non-linear IVIVC model for the fasting study using the concept of non-linear ...a non-linear IVIVC model as shown in ...
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Analysis of nonlinear noisy integrate & fire neuron models: blow-up and steady states
... the linear problem b = 0 with a constant for which the general relative entropy principle applies implying the exponential convergence towards ...in models of visual perception and decision making ...
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Forecasting the Polish zloty with non-linear models
... Markov-switching models performed somewhat better than the ANNs, which needs further ...Markov-switching models were well suited to describe in-sample dynamics of the exchange rates, they were unable to ...
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Forecasting the Polish zloty with non-linear models
... whether non-linear time series models are able to generate forecasts for the nominal exchange rate of the Polish zloty that would be more accurate than forecasts from a random walk ...competing ...
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Interpreting interaction terms in linear and non linear models: A cautionary tale
... of non-linear models including (ordered) logit/probit regressions, censored and truncated ...The linear regression model is used as the benchmark ...
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Are CDS spreads predictable? An analysis of linear and non linear forecasting models
... both linear and nonlinear models by analysing the iTraxx Europe index during the financial crisis period which began in ...the models’ forecasts are evaluated by employing various metrics and trading ...
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Are CDS spreads predictable? An analysis of linear and non-linear forecasting models
... Another study which is similar to Alexander and Kaeck (2008) and is based on the analysis of the iTraxx Europe CDS index is Byström (2006). The former study used a Markov switching regression model to explain changes in ...
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Hierarchical Bayesian models for linear and non-linear animal growth curves.
... ison we also include some analyses of this data using other, more traditional, methods. 3.2 T h e data There are 512 pigs which were weighed at 5 times from about 30kg to about 95kg live weight. For this weight range the ...
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Interpreting interaction terms in linear and non-linear models: A cautionary tale
... The points raised by Brambor et al. (2006) seem to have had a significant effect in the literature as evidenced by the more than 1000 citations in Google scholar as of July 2011, although these citations come ...
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Goodness-of-fit Tests for Linear and Non-linear Time Series Models
... In order to compare the pairwise approach with the case of considering a fixed number of lags in the conditioning set, we examine the finite sample properties of the CvM test of Bierens [r] ...
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Distributed Lag Linear and Non-Linear Models in R: The Package dlnm.
... example, linear thresholds, strata, polynomials, and spline ...different models with an increasing level of complexity can be performed using a simple and general ...
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Effects caused on Leaky integrate and fire model
... leaky integrate and fire model, t stop, computational neuroscience, spiking patterns, variations in ...in integrate and fire neuron ...compartment integrate and fire ...
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A Semi-Markov Leaky Integrate-and-Fire model
... Indeed, they assert that hh The fact that the interval histogram rises rapidly to its mode (at 3 msec.), together with the exponential decay, suggests that the process generating the spike train might be a Poisson ...
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