Sentence examples for model neurons for from inspiring English sources

A PRC obtained from our model neurons for a specific synaptic strength is shown in Fig. 1.

For greater biophysical realism, we also use simple (single-compartment) Hodgkin–Huxley-like model neurons, for which we report numerical results, but no analysis.

We focused on the cerebellar granule cells (GCs), the most abundant neurons in the mammalian brain, as model neurons for our study.

regular spiking simple model neuron for use in ZilliHasselmo2010.m. level of noise for use in ZilliHasselmo2010.m. angle overlapping to produce a hexagonal pattern.

We have chosen an STN model neuron for our analysis, since the STN is a major target for DBS in PD (Limousin et al. 1995, 1998; Rodriguez-Oroz et al. 2000), and for the STN, there are established neuronal models available (Gillies and Willshaw 2004; Modolo et al. 2008; Terman et al. 2002).

As we show for model neurons of the vertical system (VS-cells), each of them displays a different type of action field, i.e., responds maximally when the fly is rotating around a particular body axis.

(B and C ) CP as a function of congruency for model neurons from the pure-correlation model, and model cells from the selective decoding model, respectively.

In general, the PRC can be computed numerically (for model neurons) or experimentally (for biological neurons) by injecting a brief perturbing current (such as a small current pulse) and measuring the effect of this perturbation on the cycle length as a function of the phase of the perturbing input.

Simple model neurons with a preference for encoding either amplitude or phase also encoded their nonpreferred stimulus attribute when it was presented in isolation, suggesting that such ambiguity is unavoidable.

In addition, the simplified model neurons used here provide for easier analysis and comparison with mean-field models such as the Wilson-Cowan equations; by contrast, Brunel et al. use integrate and fire neurons which account for more biophysical features of neurons.

Therefore correlated input can produce reliable spiking behavior for model neurons which differ in the relative contribution of the slow I As channel.