Publications of V Buendía

Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendía, V.; Murota, H.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Levina, A. et al.; Priesemann, V.; Muñoz, M.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Science Advances 9 (34), eade1755 (2023)

Corral López, R.; Buendia, V.; Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. Physical Review Research 4, L042027 (2022)

Buendía, V.; Villegas, P.; Burioni, R.; Muñoz, M.: The broad edge of synchronization: Griffiths effects and collective phenomena in brain networks. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380 (2227), 20200424 (2022)

Buendia, V.; Villegas, P.; Burioni, R.; Muñoz, M.: The broad edge of synchronisation: Griffiths effects and collective phenomena in brain networks. (submitted)

Buendia, V.; Villegas, P.; Burioni, R.; Muñoz, M.: Hybrid-type synchronization transitions: Where incipient oscillations, scale-free avalanches, and bistability live together. Physical Review Research 3 (2), 023224 (2021)

Buendía, V.; di Santo, S.; Bonachela, J.; Muñoz, M.: Feedback Mechanisms for Self-Organization to the Edge of a Phase Transition. Frontiers in Physics 8, 333 (2020)

Buendía, V.; di Santo, S.; Villegas, P.; Burioni, R.; Muñoz, M.: Self-organized bistability and its possible relevance for brain dynamics. Physical Review Research 2, 013318 (2020)

Buendía, V.; Villegas, P.; di Santo, S.; Vezzani, A.; Burioni , R.; Muñoz, M.: Jensen’s force and the statistical mechanics of cortical asynchronous states. Scientific Reports 9, 15183 (2019)

Buendía, V.; Muñoz, M.; Manrubia, S.: Limited role of spatial self-structuring in emergent trade-offs during pathogen evolution. Scientific Reports 8, 12476 (2018)

Whole brain dynamics: Modeling and applications. Satellite Workshops of the Bernstein Conference 2023: Whole brain dynamics: Modeling and applications, Berlin, Germany, September 26, 2023. (2023)

Khajehabdollahi, S.; Giannakakis, E.; Buendia, V.; Martius, G.; Levina, A.: Locally adaptive cellular automata for goal-oriented self-organization. In: ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, pp. 410 - 419 (Eds. Iizuka, H.; Suzuki, K.; Uno, R.; Damiano, L.; Spychala, N. et al.). ALIFE 2023: Ghost in the Machine: The 2021 Conference on Artificial Life, Sapporo, Japan, July 24, 2023 - July 28, 2023. MIT Press (2023)

Buendía, V.: On mesoscopic, finite-size populations of stochastic coupled oscillators. In III Conference of the Italian Society of Statistical Physics (SIFS 2023). III Conference of the Italian Society of Statistical Physics (SIFS 2023), Parma, Italy, June 21, 2023 - June 23, 2023. (2023)

Buendía, V.: The excitatory-inhibitory branching process: a parsimonious view of cor- tical asynchronous states, excitability, and criticality. In II Conference of the Italian Society of Statistical Physics (SIFS 2022), XXVI National Conference of Statistical Physics and Complex Systems. II Conference of the Italian Society of Statistical Physics (SIFS 2022), XXVI National Conference of Statistical Physics and Complex Systems, Parma, Italy, June 20, 2022 - June 22, 2022. (2022)

Buendía, V.: Sincronización crítica en el cerebro: una perspectiva físico-estadística. In I Congreso FisEs '21 Joven. I Congreso FisEs '21 Joven, May 05, 2021 - May 06, 2021. (2021)

Buendia Ruiz-Azuaga, V.: Synchronization transitions and brain criticality. Young Seminars SIFS: Società Italiana di Fisica Statistics, Roma, Italy (2022)

Buendia, V.: Jensen’s force and the origin of asynchronous irregular states. International Conference on Mathematical Neuroscience (ICMNS 2021) (2021)

Buendia, V.; Levina, A.: Inferring dynamical states in complex recurrent networks. Bernstein Conference 2023, Berlin, Germany (2023)

Giannakakis, E.; Buendía, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Inhomogeneous connectivity structures in E/I networks enable the processing of multiple chaotic time series. Bernstein Conference 2023, Berlin, Germany (2023)

Vinogradov, O.; Giannakakis, E.; Buendia, V.; Uysal, B.; Weinreb, E.; Ron, S.; Lerche, H.; Moses, E.; Levina, A.: Network excitability determines collective bursting dynamics of neuronal networks in vitro. Bernstein Conference 2023, Berlin, Germany (2023)

Giannakakis, E.; Levina, A.; Buendia, V.; Khajehabdollahi, S.: Synaptic-type-specific clustering optimizes the computational capabilities of balanced recurrent networks. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)