In this model, each neuron has four excitatory outputs and is randonly connected with other neurons. When the neuron fires, it sends out four excitatory signals, and it stimulates other four neurons (include itself). In the next time, other neurons fire when its' membrane potential exceed the values of its' threshold. In this way these circuits repeat firing. The values of threshold are decided artificially. This paper denotes an effect of the relation between threshold and firing phenomena
A stochastic model is considered based on selective interaction between two dependent renewal proces...
In connection with model of the neuron presented by CAIANIELLO (1961), an approach to the study of a...
In connection with model of the neuron presented by CAIANIELLO (1961), an approach to the study of a...
The brain is usually considered to be an extraordinarily complex object while a neuron is believed a...
In this letter, we aim to measure the relative contribution of coincidence detection and temporal in...
A stochastic model is proposed for a neuron which has an inhibitory stream interacting pre-synaptica...
Stein's model for a neuron receiving randomly arriving post-synaptic potentials is studied from...
The dependence of self-sustained spikes on the exciting threshold is investigated by two neuron mode...
It is generally believed that a neuron is a threshold element that fires when some variable u reache...
publisher[Abstract] The neuronal models are known to exhibit a variety of firing patterns which mimi...
<p>(A) Spike generation from a temporally correlated Gaussian voltage trace in a single threshold ne...
We propose a macroscopic approach towards realistic simulations of population activity of cortical n...
<p>The figure shows the transition operator , refractory functions and activation functions for th...
[Abstract] The neuronal models are known to exhibit a variety of firing patterns which mimic the spi...
Abstract. The expected time to firing of a nerve impulse when there is Poisson excitation is calcula...
A stochastic model is considered based on selective interaction between two dependent renewal proces...
In connection with model of the neuron presented by CAIANIELLO (1961), an approach to the study of a...
In connection with model of the neuron presented by CAIANIELLO (1961), an approach to the study of a...
The brain is usually considered to be an extraordinarily complex object while a neuron is believed a...
In this letter, we aim to measure the relative contribution of coincidence detection and temporal in...
A stochastic model is proposed for a neuron which has an inhibitory stream interacting pre-synaptica...
Stein's model for a neuron receiving randomly arriving post-synaptic potentials is studied from...
The dependence of self-sustained spikes on the exciting threshold is investigated by two neuron mode...
It is generally believed that a neuron is a threshold element that fires when some variable u reache...
publisher[Abstract] The neuronal models are known to exhibit a variety of firing patterns which mimi...
<p>(A) Spike generation from a temporally correlated Gaussian voltage trace in a single threshold ne...
We propose a macroscopic approach towards realistic simulations of population activity of cortical n...
<p>The figure shows the transition operator , refractory functions and activation functions for th...
[Abstract] The neuronal models are known to exhibit a variety of firing patterns which mimic the spi...
Abstract. The expected time to firing of a nerve impulse when there is Poisson excitation is calcula...
A stochastic model is considered based on selective interaction between two dependent renewal proces...
In connection with model of the neuron presented by CAIANIELLO (1961), an approach to the study of a...
In connection with model of the neuron presented by CAIANIELLO (1961), an approach to the study of a...