170 citations · 3k across the 103 of their papers we have counts for
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A theory for self-sustained balanced states in absence of strong external currents
David Angulo-Garcia, Alessandro Torcini
Recurrent neural networks with balanced excitation and inhibition exhibit irregular asynchronous dynamics, which is fundamental for cortical computations. Classical balance mechani…
From Neuronal Packets to Thoughtseeds: A Hierarchical Model of Embodied Cognition in the Global Workspace
Prakash Chandra Kavi, Gorka Zamora-López, Daniel Ari Friedman
The emergence of cognition requires a framework that bridges evolutionary principles with neurocomputational mechanisms. This paper introduces the novel "thoughtseed" framework, pr…
Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP
Raphaël Bergoin, Alessandro Torcini, Gustavo Deco +2
The modular and hierarchical organization of the brain is believed to support the coexistence of segregated (specialization) and integrated (binding) information processes. A relev…
Discrete synaptic events induce global oscillations in balanced neural networks
Denis S. Goldobin, Matteo di Volo, Alessandro Torcini
Neural dynamics is triggered by discrete synaptic inputs of finite amplitude. However, the neural response is usually obtained within the diffusion approximation (DA) representing…
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…
Asynchronous and coherent dynamics in balanced excitatory-inhibitory spiking networks
Hongjie Bi, Matteo Di Volo, Alessandro Torcini
Dynamic excitatory-inhibitory (E-I) balance is a paradigmatic mechanism invoked to explain the irregular low firing activity observed in the cortex. However, we will show that the…
Exact neural mass model for synaptic-based working memory
Halgurd Taher, Alessandro Torcini, Simona Olmi
A synaptic theory of Working Memory (WM) has been developed in the last decade as a possible alternative to the persistent spiking paradigm. In this context, we have developed a ne…
Theta-nested gamma oscillations in next generation neural mass models
Marco Segneri, Hongjie Bi, Simona Olmi +1
Theta-nested gamma oscillations have been reported in many areas of the brain and are believed to represent a fundamental mechanism to transfer information across spatial and tempo…
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…
Coexistence of fast and slow gamma oscillations in one population of inhibitory spiking neurons
Hongjie Bi, Marco Segneri, Matteo di Volo +1
Oscillations are a hallmark of neural population activity in various brain regions with a spectrum covering a wide range of frequencies. Within this spectrum gamma oscillations hav…
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…
Exact firing time statistics of neurons driven by discrete inhibitory noise
Simona Olmi, David Angulo-Garcia, Alberto Imparato +1
Neurons in the intact brain receive a continuous and irregular synaptic bombardment from excitatory and inhibitory pre-synaptic neurons, which determines the firing activity of the…
Death and rebirth of neural activity in sparse inhibitory networks
David Angulo-Garcia, Stefano Luccioli, Simona Olmi +1
In this paper, we clarify the mechanisms underlying a general phenomenon present in pulse-coupled heterogeneous inhibitory networks: inhibition can induce not only suppression of t…
Functional Cliques in Developmentally Correlated Neural Networks
S. Luccioli, A. Barzilai, E. Ben-Jacob +2
We consider a sparse random network of excitatory leaky integrate-and-fire neurons with short-term synaptic depression. Furthermore to mimic the dynamics of a brain circuit in its…
Cell assembly dynamics of sparsely-connected inhibitory networks: a simple model for the collective activity of striatal projection neurons
David Angulo-Garcia, Joshua D. Berke, Alessandro Torcini
Striatal projection neurons form a sparsely-connected inhibitory network, and this arrangement may be essential for the appropriate temporal organization of behavior. Here we show…
Clique of functional hubs orchestrates population bursts in developmentally regulated neural networks
Stefano Luccioli, Eshel Ben-Jacob, Ari Barzilai +2
It has recently been discovered that single neuron stimulation can impact network dynamics in immature and adult neuronal circuits. Here we report a novel mechanism which can expla…
Emergence of slow collective oscillations in neural networks with spike timing dependent plasticity
Kaare Mikkelsen, Alberto Imparato, Alessandro Torcini
The collective dynamics of excitatory pulse coupled neurons with spike timing dependent plasticity (STDP) is studied. The introduction of STDP induces persistent irregular oscillat…