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by Newton, Adam J. H and Seidenstein, Alexandra H and McDougal, Robert A and Pérez-Cervera, Alberto and Huguet, Gemma and M-Seara, Tere and Haimerl, Caroline and Angulo-Garcia, David and Torcini, Alessandro and Cossart, Rosa and Malvache, Arnaud and Skiker, Kaoutar and Maouene, Mounir and Ragognetti, Gianmarco and Lorusso, Letizia and Viggiano, Andrea and Marcelli, Angelo and Senatore, Rosa and Parziale, Antonio and Stramaglia, S and Pellicoro, M and Angelini, L and Amico, E and Aerts, H and Cortés, J and Laureys, S and Marinazzo, D and Bassez, I and Faes, L and Almgren, Hannes and Razi, Adeel and Van de Steen, Frederik and Krebs, Ruth and Aerts, Hannelore and Kanari, Lida and Dlotko, Pawel and Scolamiero, Martina and Levi, Ran and Shillcock, Julian and de Kock, Christiaan P.J and Hess, Kathryn and Markram, Henry and Ly, Cheng and Marsat, Gary and Gillespie, Tom and Sandström, Malin and Abrams, Mathew and Grethe, Jeffrey S and Martone, Maryann and De Gernier, Robin and Solinas, Sergio and Rössert, Christian and Haelterman, Marc and Massar, Serge and Pasquale, Valentina and Pastore, Vito Paolo and Martinoia, Sergio and Massobrio, Paolo and Capone, Cristiano and Tort-Colet, Núria and Sanchez-Vives, Maria V and Mattia, Maurizio and Almasi, Ali and Cloherty, Shaun L and Grayden, David B and Wong, Yan T and Ibbotson, Michael R and Meffin, Hamish and Prince, Luke Y and Tsaneva-Atanasova, Krasimira and Mellor, Jack R and Mazzoni, Alberto and Rosa, Manuela and Carpaneto, Jacopo and Romito, Luigi M and Priori, Alberto and Micera, Silvestro and Migliore, Rosanna and Lupascu, Carmen Alina and Franchina, Francesco and Bologna, Luca Leonardo and Romani, Armando and Saray, Sára and Van Geit, Werner and Káli, Szabolcs and Thomson, Alex and Mercer, Audrey and Lange, Sigrun and Falck, Joanne and Muller, Eilif and Schürmann, Felix and Todorov, Dmitrii and Capps, Robert and Barnett, William and Molkov, Yaroslav and Devalle, Federico and Pazó, Diego and Montbrió, Ernest and Mochol, Gabriela and Azab, Habiba and ...
BMC Neuroscience, ISSN 1471-2202, 08/2017, Volume 18, Issue S1, pp. 1 - 82
Journal Article
Physical Review Letters, ISSN 0031-9007, 09/2018, Volume 121, Issue 12, p. 128301
We report a transition from asynchronous to oscillatory behavior in balanced inhibitory networks for class I and II neurons with instantaneous synapses.... 
Transportation networks | Oscillations | Synapses
Journal Article
Physical Review Letters, ISSN 0031-9007, 09/2018, Volume 121, Issue 12, p. 128301
We report a transition from asynchronous to oscillatory behavior in balanced inhibitory networks for class I and II neurons with instantaneous synapses.... 
NEURONS | IMPACT | INHIBITION | EXCITATION | PHYSICS, MULTIDISCIPLINARY | Physics - Disordered Systems and Neural Networks
Journal Article
New Journal of Physics, ISSN 1367-2630, 05/2017, Volume 19, Issue 5, p. 53011
Journal Article
The European Physical Journal Special Topics, ISSN 1951-6355, 11/2018, Volume 227, Issue 10, pp. 1185 - 1204
We extensively explore networks of weakly unbalanced, leaky integrate-and-fire (LIF) neurons for different coupling strength, connectivity, and by varying the... 
Condensed Matter Physics | Measurement Science and Instrumentation | Materials Science, general | Classical and Continuum Physics | Atomic, Molecular, Optical and Plasma Physics | Physics, general | Physics | PHYSICS, MULTIDISCIPLINARY | Thermodynamics | Neurons | Neural networks | Analysis
Journal Article
BMC Neuroscience, ISSN 1471-2202, 12/2015, Volume 16, Issue S1
Journal Article
PLoS Computational Biology, ISSN 1553-734X, 02/2016, Volume 12, Issue 2
  Striatal projection neurons form a sparsely-connected inhibitory network, and this arrangement may be essential for the appropriate temporal organization of... 
Neurons | Behavior
Journal Article
PLoS Computational Biology, ISSN 1553-734X, 02/2016, Volume 12, Issue 2, p. e1004778
Striatal projection neurons form a sparsely-connected inhibitory network, and this arrangement may be essential for the appropriate temporal organization of... 
DOPAMINERGIC MODULATION | STATES | INFORMATION | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | SPIKING NEURONS | DRIVEN | MEDIUM SPINY NEURONS | OSCILLATIONS | NEOSTRIATUM | GABA | Neurons | Models | Physiological aspects | Corpus striatum | Neural circuitry | Life Sciences | Chaotic Dynamics | Nonlinear Sciences | Neurons and Cognition | Behavior
Journal Article
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, 10/2014, Volume 90, Issue 4, p. 042905
We report finite-size numerical investigations and mean-field analysis of a Kuramoto model with inertia for fully coupled and diluted systems. In particular,... 
SYNCHRONIZATION | STATES | PHYSICS, FLUIDS & PLASMAS | POPULATIONS | COUPLED OSCILLATORS | CHIMERA | PHYSICS, MATHEMATICAL | Models, Theoretical | Thermodynamics | Computer Simulation
Journal Article
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, 09/2015, Volume 92, Issue 3, p. 030901
Two symmetrically coupled populations of N oscillators with inertia m display chaotic solutions with broken symmetry similar to experimental observations with... 
SYNCHRONIZATION | STATES | OSCILLATORS | PHYSICS, FLUIDS & PLASMAS | SYSTEMS | INERTIA | NETWORKS | DIFFUSION | MODEL | PHYSICS, MATHEMATICAL | Models, Theoretical | Motion | Nonlinear Dynamics | Periodicity | Condensed Matter | Disordered Systems and Neural Networks | Chaotic Dynamics | Nonlinear Sciences | Physics
Journal Article
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, ISSN 0027-8424, 04/2019, Volume 116, Issue 15, pp. 7477 - 7482
Journal Article
Understanding Complex Systems, ISSN 1860-0832, 2016, pp. 25 - 45
in "Control of Self-Organizing Nonlinear Systems", eds E. Schoell, S. Klapp and P. Hoevel, pages 25-45 (Springer-Verlag, Berlin, 2016) We analyze the... 
Journal Article
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, 02/2015, Volume 91, Issue 2, p. 022928
We consider pulse-coupled leaky integrate-and-fire neural networks with randomly distributed synaptic couplings. This random dilution induces fluctuations in... 
STATES | NOISE INDUCE CHAOS | PHYSICS, FLUIDS & PLASMAS | PULSE-COUPLED OSCILLATORS | SYSTEMS | DRIVEN | PHYSICS, MATHEMATICAL | Stochastic Processes | Linear Models | Neural Networks (Computer)
Journal Article
PLoS Computational Biology, ISSN 1553-734X, 09/2014, Volume 10, Issue 9, p. e1003823
Journal Article
EPL (Europhysics Letters), ISSN 0295-5075, 12/2010, Volume 92, Issue 6, p. 60007
We study the dynamics of two symmetrically coupled populations of identical leaky integrate-and-fire neurons characterized by an excitatory coupling. Upon... 
PHYSICS, MULTIDISCIPLINARY | DYNAMICS | OSCILLATORS | Dynamic tests | Populations | Lyapunov exponents | Chaos theory | Dynamics | Neural networks | Synchronism | Joining
Journal Article
Journal Article
Chaos: An Interdisciplinary Journal of Nonlinear Science, ISSN 1054-1500, 08/2018, Volume 28, Issue 8, p. 081106
We revisit the dynamics of a prototypical model of balanced activity in networks of spiking neurons. A detailed investigation of the thermodynamic limit for... 
VARIABILITY | SYNCHRONIZATION | CHAOS | MATHEMATICS, APPLIED | MODEL | PHYSICS, MATHEMATICAL
Journal Article
Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, ISSN 0960-0779, 12/2014, Volume 69, pp. 233 - 245
We study the dynamical stability of pulse coupled networks of leaky integrate-and-fire neurons against infinitesimal and finite perturbations. In particular,... 
VARIABILITY | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | PERTURBATIONS | PHYSICS, MULTIDISCIPLINARY | IN-VIVO | NEURONS | SENSITIVITY | DYNAMICS | STATE | NETWORKS | PHYSICS, MATHEMATICAL | Neural circuitry
Journal Article