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Inspired by the recent introduction of 'neurone theory' by Cajal and Waldeyer-Harz, Freud hypothesized three functionally-distinct classes of neurone: the 'ψ neurones', which receive endogenous input and make up the ego; the 'neurones', which are sensitive to exogenous input; and the 'ω neurones', which signal qualitative information.
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Designing classifiers that achieve optimal differential response between specific cell types is a hard computational problem because it involves selection of endogenous inputs and optimization of both biochemical parameters and a logic function.
In previous studies, we have developed an ad-hoc time series preprocessing and optimized a MLP with endogenous inputs in order to forecast the solar radiation on a horizontal surface.
We propose in this paper to study the contribution of exogenous meteorological data (multivariate method) as time series to our optimized MLP and compare with different forecasting methods: a naïve forecaster (persistence), ARIMA reference predictor, an ANN with preprocessing using only endogenous inputs (univariate method) and an ANN with preprocessing using endogenous and exogenous inputs.
Of course, the expression of these patterns may involve endogenous inputs such as eye movements, which must inevitably be triggered by the stimulus motion.
DCM rests upon the fact that there is a straightforward mapping between the synaptic connectivity of neuronal circuits and their responses to exogenous or endogenous neuronal input.
A synthetic biomolecular circuit identifies abnormal cell states by the integration of multiple endogenous microRNA inputs.
Cell classifiers are genetic logic circuits that transduce endogenous molecular inputs into cell-type-specific responses.
GPI observers are the dual counterpart of GPI controllers providing accurate simultaneous estimation of each flat output associated phase variables and of the exogenous and endogenous perturbation inputs.
In both regions, ChR2+ neurons were immunopositive for ChAT, confirming our ability to selectively activate endogenous Chat+ inputs to cortex.
The extracellular volume is characterized by a given SID, which is a function of baseline conditions, endogenous and exogenous input (endogenous production and infusion), and urinary output.
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