Neurons in the first cluster project to the neurons in the second cluster with synaptic weight w1(t), while neurons in the second cluster project to neurons in the first cluster with synaptic weight w2(t). Neurons receive external inputs I1(t) and I2(t), respectively. As this is a rate model, I1(t), I2(t) have a unit of [1/s]. In addition, both neuronal populations receive self inhibition with delays (dashed arrows with flat heads), τ1 and τ2 respectively. The dynamics of this system is described by Eq 2.</p
Gray circles are quantities associated with interactions between populations (i.e., a and b), while ...
<p><b>A</b>: Voltage traces in response to excitatory inputs at varying input locations along the de...
<p>A) The neural mass model accounts for excitatory interneurons (EIN), inhibitory interneurons (IIN...
<p>Activity of 3 neurons in simulations (<i>N</i> = 32,000, <i>K</i> = 800, <i>τ</i><sub><i>syn</i><...
<p>Sensory neuron populations for each decision alternative feed into corresponding accumulators, wh...
<p>(A) Diagram of the attractor model for decision-making between up to four choice alternatives. Th...
<p>(A) Network model architecture. The network is fully connected, with recurrent inhibition provide...
<p>(A) The decision making network consists of two populations of sensory neurons <i>N<sub>i</sub></...
In this paper we study the well-posedness of different models of population of leaky integrate- and-...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
In this article we present the modeling of bi-stability view problems described by the activity or f...
<p>The basic model circuit consists of two strongly-recurrent populations of excitatory neurons (Exc...
<p>The behavior of the separate populations of neurons is shown in response to a 65 dB, 4 kHz stimul...
<p>The external population delivers stochastic activity to the local network. The local network is ...
International audienceNeurons within a population are strongly correlated, but how to simply capture...
Gray circles are quantities associated with interactions between populations (i.e., a and b), while ...
<p><b>A</b>: Voltage traces in response to excitatory inputs at varying input locations along the de...
<p>A) The neural mass model accounts for excitatory interneurons (EIN), inhibitory interneurons (IIN...
<p>Activity of 3 neurons in simulations (<i>N</i> = 32,000, <i>K</i> = 800, <i>τ</i><sub><i>syn</i><...
<p>Sensory neuron populations for each decision alternative feed into corresponding accumulators, wh...
<p>(A) Diagram of the attractor model for decision-making between up to four choice alternatives. Th...
<p>(A) Network model architecture. The network is fully connected, with recurrent inhibition provide...
<p>(A) The decision making network consists of two populations of sensory neurons <i>N<sub>i</sub></...
In this paper we study the well-posedness of different models of population of leaky integrate- and-...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
In this article we present the modeling of bi-stability view problems described by the activity or f...
<p>The basic model circuit consists of two strongly-recurrent populations of excitatory neurons (Exc...
<p>The behavior of the separate populations of neurons is shown in response to a 65 dB, 4 kHz stimul...
<p>The external population delivers stochastic activity to the local network. The local network is ...
International audienceNeurons within a population are strongly correlated, but how to simply capture...
Gray circles are quantities associated with interactions between populations (i.e., a and b), while ...
<p><b>A</b>: Voltage traces in response to excitatory inputs at varying input locations along the de...
<p>A) The neural mass model accounts for excitatory interneurons (EIN), inhibitory interneurons (IIN...