We observe and study a self-organized phenomenon whereby the activity in a network of spiking neurons spontaneously terminates. We consider different types of populations, consisting of bistable model neurons connected electrically by gap junctions, or by either excitatory or inhibitory synapses, in a scale-free connection topology. We find that strongly synchronized population spiking events lead to complete cessation of activity in excitatory networks, but not in gap junction or inhibitory networks. We identify the underlying mechanism responsible for this phenomenon by examining the particular shape of the excitatory postsynaptic currents that arise in the neurons. We also examine the effects of the synaptic time constant, coupling stren...
A prominent feature of the dynamics of large neuronal networks are the synchrony-driven collective o...
The rich dynamics of a system comprising of a Type-I neuron coupled to a Type-II neuron via an elect...
the date of receipt and acceptance should be inserted later Abstract For modeling complex synaptic c...
We observe and study a self-organized phenomenon whereby the activity in a network of spiking neuron...
Real neurons can exhibit various types of firings including tonic spiking, bursting as well as silen...
Excessively high, neural synchronization has been associated with epileptic seizures, one of the mos...
this article, we will consider the role of recurrent synaptic excitation in creating bistability in ...
We study the synchronization of bursting cells that are coupled through both excitatory and inhibito...
We show that networks of excitatory neurons with stochastic spontaneous spiking activity and short-t...
We investigate a model for neural activity that generates long range temporal correlations, 1/ f noi...
International audienceThe emergence of synchrony in the activity of large, heterogeneous networks of...
International audienceThe emergence of synchrony in the activity of large, heterogeneous networks of...
. We study some mechanisms responsible for synchronous oscillations and loss of synchrony at physiol...
25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antaly...
2019 Medical Technologies Congress, TIPTEKNO 2019 -- 3 October 2019 through 5 October 2019 -- -- 154...
A prominent feature of the dynamics of large neuronal networks are the synchrony-driven collective o...
The rich dynamics of a system comprising of a Type-I neuron coupled to a Type-II neuron via an elect...
the date of receipt and acceptance should be inserted later Abstract For modeling complex synaptic c...
We observe and study a self-organized phenomenon whereby the activity in a network of spiking neuron...
Real neurons can exhibit various types of firings including tonic spiking, bursting as well as silen...
Excessively high, neural synchronization has been associated with epileptic seizures, one of the mos...
this article, we will consider the role of recurrent synaptic excitation in creating bistability in ...
We study the synchronization of bursting cells that are coupled through both excitatory and inhibito...
We show that networks of excitatory neurons with stochastic spontaneous spiking activity and short-t...
We investigate a model for neural activity that generates long range temporal correlations, 1/ f noi...
International audienceThe emergence of synchrony in the activity of large, heterogeneous networks of...
International audienceThe emergence of synchrony in the activity of large, heterogeneous networks of...
. We study some mechanisms responsible for synchronous oscillations and loss of synchrony at physiol...
25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antaly...
2019 Medical Technologies Congress, TIPTEKNO 2019 -- 3 October 2019 through 5 October 2019 -- -- 154...
A prominent feature of the dynamics of large neuronal networks are the synchrony-driven collective o...
The rich dynamics of a system comprising of a Type-I neuron coupled to a Type-II neuron via an elect...
the date of receipt and acceptance should be inserted later Abstract For modeling complex synaptic c...