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Coherent oscillations in balanced neural networks driven by endogenous fluctuations
Matteo Di Volo, Marco Segneri, Denis Goldobin +2
We present a detailed analysis of the dynamical regimes observed in a balanced network of identical Quadratic Integrate-and-Fire (QIF) neurons with a sparse connectivity for homoge…
Collective dynamics in the presence of finite-width pulses
Afifurrahman, Ekkehard Ullner, Antonio Politi
The idealisation of neuronal pulses as -spikes is a convenient approach in neuroscience but can sometimes lead to erroneous conclusions. We investigate the effect of a finite pu…
Stability of synchronous states in sparse neuronal networks
Afifurrahman, Ekkehard Ullner, Antonio Politi
The stability of synchronous states is analysed in the context of two populations of inhibitory and excitatory neurons, characterized by different pulse-widths. The problem is redu…
Quantitative and qualitative analysis of asynchronous neural activity
Ekkehard Ullner, Antonio Politi, Alessandro Torcini
The activity of a sparse network of leaky integrate-and-fire neurons is carefully revisited with reference to a regime of a bona-fide asynchronous dynamics. The study is preceded b…
Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons
Antonio Politi, Ekkehard Ullner, Alessandro Torcini
We extensively explore networks of weakly unbalanced, leaky integrate-and-fire (LIF) neurons for different coupling strength, connectivity, and by varying the degree of refractorin…
Collective behavior of heterogeneous neural networks
Stefano Luccioli, Antonio Politi
We investigate a network of integrate-and-fire neurons characterized by a distribution of spiking frequencies. Upon increasing the coupling strength, the model exhibits a transitio…