Sentence examples for model of neurons from inspiring English sources

The way of updating the synaptic weights is one of the significant challenges in implementing machine learning methods using spiking model of neurons.

In order to obtain an optimum decision regarding the future pathophysiological state of a patient, the optimal weights of the synapses between the neurons have been determined by using inverse delayed function model of neurons.

Although results presented in this work were obtained in a rather simple, two-variable current based model of neurons and with specific additive internal and external noise inputs, the main conclusions are strikingly similar to the experimental data obtained in Aplysia california abdominal ganglia [1].

Also, in a model of neurons with multiple axons, such as cytochalasin D treatment, HDAC6 was detected in all processes following the same pattern that tau-1 (Figure 2D).

Although the linearized model of neurons can be used only under the conditions that the membrane potential is fluctuating with a small amplitude [ 22], the main limitation of the linearized model (equivalent RLC electrical circuit model) is due to the fact that it is unable to mimic the neuronal behavior near the threshold for spike generation.

Figure 1 Adaptive PCNN model (a) the AD-PCNN model of neuron (b) eight-neuron linking pattern.

We present a new class of neural network using a variable structure model of neuron (VSMN).

Finally, we demonstrate that receptor responses themselves can be used as descriptors in a predictive model of neuron activation.

The parameter I b plays a key role in the dynamics of the (QIF) model of neuron's potential (see [18, 19], and [20] for details).

This brings down the error from 9% for uncompensated sensor to 0.1% only for compensated sensor using the delayed model of neuron in the temperature range of 0 70 °C.

Artificial intelligence (AI) was born connectionist when in 1943 Warren S. McCulloch and Walter Pitts introduced the first sequential logic model of neuron.