976 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- UNSW SydneyAU6 papers
- Black Dog InstituteAU5 papers
- The University of QueenslandAU5 papers
- Institute for Cross-Disciplinary Physics and Complex SystemsES3 papers
- Royal Brisbane and Women's HospitalAU3 papers
- The University of MelbourneAU3 papers
- Universidade Federal de PernambucoBR3 papers
- Universitat de les Illes BalearsES3 papers
- Commonwealth Scientific and Industrial Research OrganisationAU2 papers
- Consejo Superior de Investigaciones CientíficasES2 papers
- Indiana University BloomingtonUS2 papers
- Baylor College of MedicineUS1 paper
12 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
The Organisation of the Elderly Connectome
Alistair Perry, Wei Wen, Anton Lord +3
Investigations of the human connectome have elucidated core features of adult structural networks, particularly the crucial role of hub-regions. However, little is known regarding…
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…
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…
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…
Weight-conserving characterization of complex functional brain networks
Mikail Rubinov, Olaf Sporns
Complex functional brain networks are large networks of brain regions and functional brain connections. Statistical characterizations of these networks aim to quantify global and l…