<p>Each simulation uses 10 neural PING oscillator nodes with the connection probability and weight being the same between all nodes on a single simulation run. Each separate simulation uses a different connection probability and weight drawn from a uniform distribution between 0 and 1. (A) The overall synchrony in the networks using the QIF neuron model, (B) same as panel A for the HH neuron model. (C) The coalition entropy in the networks using the QIF neuron model, (D) same as panel C for the HH neuron model. (E) The average number of coexisting frequencies per oscillator at each time point in the networks using the QIF neuron model, (F) the same as panel E for the HH neuron model.</p
<p>The model included 50 SCN neurons that initially oscillated independently. Initial concentration ...
We investigate a model of randomly copuled neurons. The elements are FitzHgh-Nagumo excitable neuron...
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...
<p>The setup is the same as for <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pon...
Groups of neurons firing synchronously are hypothesized to underlie many cognitive functions such as...
<p>(A) Illustration of the Arnold tongue. The potential for two oscillators to synchronize (grey are...
<p>(Top row) Mutual information <i>I</i> = <i>H</i> − <i>H</i><sub>noise</sub> of the input/output r...
<p>The figures on the left hand side column show the typical probabilities of a synapse from a neuro...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
Daffertshofer, A. [Promotor]Stefanovska, A. [Promotor]McClintock, P.V.E. [Copromotor
Quantitatively understanding how populations of neurons interact in the brain is one of the great ch...
Networks are ubiquitous in nature and engineering, with applications in areas such as modeling power...
<p>Panel (A): Parameter space for the synchronization ⟨<i>ρ</i>⟩<sub>5</sub>. Panel (B): Parameter s...
Synchronous oscillations are believed to be important for neuronal information processing. We use a ...
<p>(<b>a</b>) A 252 neuron network under study. Neurons are shown as black circles and synaptic conn...
<p>The model included 50 SCN neurons that initially oscillated independently. Initial concentration ...
We investigate a model of randomly copuled neurons. The elements are FitzHgh-Nagumo excitable neuron...
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...
<p>The setup is the same as for <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pon...
Groups of neurons firing synchronously are hypothesized to underlie many cognitive functions such as...
<p>(A) Illustration of the Arnold tongue. The potential for two oscillators to synchronize (grey are...
<p>(Top row) Mutual information <i>I</i> = <i>H</i> − <i>H</i><sub>noise</sub> of the input/output r...
<p>The figures on the left hand side column show the typical probabilities of a synapse from a neuro...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
Daffertshofer, A. [Promotor]Stefanovska, A. [Promotor]McClintock, P.V.E. [Copromotor
Quantitatively understanding how populations of neurons interact in the brain is one of the great ch...
Networks are ubiquitous in nature and engineering, with applications in areas such as modeling power...
<p>Panel (A): Parameter space for the synchronization ⟨<i>ρ</i>⟩<sub>5</sub>. Panel (B): Parameter s...
Synchronous oscillations are believed to be important for neuronal information processing. We use a ...
<p>(<b>a</b>) A 252 neuron network under study. Neurons are shown as black circles and synaptic conn...
<p>The model included 50 SCN neurons that initially oscillated independently. Initial concentration ...
We investigate a model of randomly copuled neurons. The elements are FitzHgh-Nagumo excitable neuron...
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...