288 citations · 302 across the 6 of their papers we have counts for
9 papers
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks
Mengjia Xu, David Lopez Sanz, Pilar Garces +3
Characterizing the subtle changes of functional brain networks associated with the pathological cascade of Alzheimer's disease (AD) is important for early diagnosis and prediction…
A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency and heterosynaptic STDP
Gianluca Susi, Luis Anton Toro, Leonides Canuet +4
Humans perform remarkably well in many cognitive tasks including pattern recognition. However, the neuronal mechanisms underlying this process are not well understood. Nevertheless…
FNS: an event-driven spiking neural network simulator based on the LIFL neuron model
Gianluca Susi, Pilar Garces, Alessandro Cristini +4
Limitations in processing capabilities and memory of today's computers make spiking neuron-based (human) whole-brain simulations inevitably characterized by a compromise between bi…
Functional brain networks reveal the existence of cognitive reserve and the interplay between network topology and dynamics
Johann H. Martínez, María E. López, Pedro Ariza +6
We investigated how the organization of functional brain networks was related to cognitive reserve (CR) during a memory task in healthy aging. We obtained the magnetoencephalograph…
Phase Locking Value revisited: teaching new tricks to an old dog
Ricardo Bruña, Fernando Maestú, Ernesto Pereda
Despite the increase in calculation power in the last decades, the estimation of brain connectivity is still a tedious task. The high computational cost of the algorithms escalates…
A physical model for dementia
Oscar Sotolongo-Costa, L. M. Gaggero-Sager, J. T. Becker +2
Aging associated brain decline often result in some kind of dementia. Even when this is a complex brain disorder a physical model can be used in order to describe its general behav…
Anomalous Consistency in Mild Cognitive Impairment: a complex networks approach
J. H. Martínez, J. M. Pastor, P. Ariza +6
Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal ac…
Functional Hubs in Mild Cognitive Impairment
Adrián Navas, David Papo, Stefano Boccaletti +6
We investigate how hubs of functional brain networks are modified as a result of mild cognitive impairment (MCI), a condition causing a slight but noticeable decline in cognitive a…
HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity
Guiomar Niso, Ricardo Bruña, Ernesto Pereda +4
The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynam…