Sentence examples for model neurons to from inspiring English sources

Using this model simulation, we also study the consequences of the different receptive field components for the tuning of model neurons to various flight maneuvers, i.e. the neuronal action fields.

We use Morris Lecar (M L) model neurons to conduct our analysis [17].

Here we evaluate combinations of a variety of neuronal regeneration factors including engineered cell adhesion molecules and growth factors in embryonic model neurons to test the possible improvement of artificial nerve guides by cooperative mechanisms.

This framework allows us to characterize the sensitivity of different model neurons to the detailed temporal structure of incoming stimuli.

We examine the responses of model neurons to step functions in either the mean or the variance of the input current.

Single-trial responses of model neurons to each heading stimulus were generated according to the assumption of proportional Gaussian noise, with response variance set to be 1.5 times the mean firing rate to approximate the general behavior of cortical neurons (Shadlen et al., 1996; Gu et al., 2008; Cohen and Newsome, 2009).

To simulate the action of TTX we set the maximal conductance gNa of our model neuron to 0 and tested the usual range of DC steps (Fig. 5B).

We employed a theoretical model neuron to reveal the nature of this correspondence, and to provide a unifying framework for the examples previously found in these different brain areas.

We describe the tuning of a model neuron to particular types of ego-motion (rotation as well as translation around/along a given body axis) by its 'action field'.

In this paper we present a formal measure of the neuron's state directly related to spike generation, namely the History-Dependent Excitability (HDE), which lumps the different history-dependent dynamical variables of an arbitrary model neuron to a single, scalar value that describes its propensity to firing in any moment in time.

In order to describe the response of any model neuron to all possible movements, we stimulated the lobula plate network with movies resulting from a rotation around and translation along all possible axes in the virtual environment (see Fig. 4E for three rotations) and plotted their responses in the way described.