activity
20092026
most citedCriticality in the brain: A synthesis of neurobiology, models and cognition

562 citations · 1.5k across the 15 of their papers we have counts for

collaborators

15 papers

q-bio.NC2026

Hierarchical organization of critical brain dynamics

Gustavo G. Cambrainha, Daniel M. Castro, Leonardo L. Gollo +2

The hierarchical organization of the brain is a fundamental structural principle, while brain criticality is a leading hypothesis for its collective dynamics. However, the connecti…

physics.data-an2023★ 17 cited

Tracking the distance to criticality in systems with unknown noise

Brendan Harris, Leonardo L. Gollo, Ben D. Fulcher

Many real-world systems undergo abrupt changes in dynamics as they move across critical points, often with dramatic consequences. Much existing theory on identifying the time-serie…

q-bio.NC2018★ 44 cited

Estimating the impact of structural directionality: How reliable are undirected connectomes?

Penelope Kale, Andrew Zalesky, Leonardo L. Gollo

Directionality is a fundamental feature of network connections. Most structural brain networks are intrinsically directed because of the nature of chemical synapses, which comprise…

q-bio.NC2017★ 562 cited

Criticality in the brain: A synthesis of neurobiology, models and cognition

Luca Cocchi, Leonardo L. Gollo, Andrew Zalesky +1

Cognitive function requires the coordination of neural activity across many scales, from neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory f…

q-bio.NC2017★ 46 cited

Coexistence of critical sensitivity and subcritical specificity can yield optimal population coding

Leonardo L. Gollo

The vicinity of phase transitions selectively amplifies weak stimuli, yielding optimal sensitivity to distinguish external input. Along with this enhanced sensitivity, enhanced lev…

q-bio.NC2016★ 18 cited

Inhibitory loop robustly induces anticipated synchronization in neuronal microcircuits

Fernanda S. Matias, Leonardo L. Gollo, Pedro V. Carelli +2

We investigate the synchronization properties between two excitatory coupled neurons in the presence of an inhibitory loop mediated by an interneuron. Dynamical inhibition together…

q-bio.NC2016★ 166 cited

Mapping how local perturbations influence systems-level brain dynamics

Leonardo L. Gollo, James A. Roberts, Luca Cocchi

The human brain exhibits a relatively stable spatiotemporal organization that supports brain function and can be manipulated via local brain stimulation. Such perturbations to loca…

q-bio.NC2015★ 25 cited

Diversity improves performance in excitable networks

Leonardo L. Gollo, Mauro Copelli, James A. Roberts

As few real systems comprise indistinguishable units, diversity is a hallmark of nature. Diversity among interacting units shapes properties of collective behavior such as synchron…

q-bio.NC2015★ 182 cited

Dwelling Quietly in the Rich Club: Brain Network Determinants of Slow Cortical Fluctuations

Leonardo L. Gollo, Andrew Zalesky, R. Matthew Hutchison +2

For more than a century, cerebral cartography has been driven by investigations of structural and morphological properties of the brain across spatial scales and the temporal/funct…

q-bio.NC2014★ 93 cited

The frustrated brain: From dynamics on motifs to communities and networks

Leonardo L. Gollo, Michael Breakspear

Cognitive function depends on an adaptive balance between flexible dynamics and integrative processes in distributed cortical networks. Patterns of zero-lag synchrony likely underp…

q-bio.NC2013★ 166 cited

Mechanisms of Zero-Lag Synchronization in Cortical Motifs

Leonardo L. Gollo, Claudio Mirasso, Olaf Sporns +1

Zero-lag synchronization between distant cortical areas has been observed in a diversity of experimental data sets and between many different regions of the brain. Several computat…

q-bio.NC2013★ 36 cited

Single-Neuron Criticality Optimizes Analog Dendritic Computation

Leonardo L. Gollo, Osame Kinouchi, Mauro Copelli

Neurons are thought of as the building blocks of excitable brain tissue. However, at the single neuron level, the neuronal membrane, the dendritic arbor and the axonal projections…

q-bio.NC2012★ 30 cited

Signal integration enhances the dynamic range in neuronal systems

Leonardo L. Gollo, Claudio Mirasso, Víctor M. Eguíluz

The dynamic range measures the capacity of a system to discriminate the intensity of an external stimulus. Such an ability is fundamental for living beings to survive: to leverage…

q-bio.NC2011★ 31 cited

Statistical Physics approach to dendritic computation: The excitable-wave mean-field approximation

Leonardo L. Gollo, Osame Kinouchi, Mauro Copelli

We analytically study the input-output properties of a neuron whose active dendritic tree, modeled as a Cayley tree of excitable elements, is subjected to Poisson stimulus. Both si…

q-bio.NC2009★ 76 cited

Active dendrites enhance neuronal dynamic range

Leonardo L. Gollo, Osame Kinouchi, Mauro Copelli

Since the first experimental evidences of active conductances in dendrites, most neurons have been shown to exhibit dendritic excitability through the expression of a variety of vo…