1.1k citations · 1.4k across the 4 of their papers we have counts for
6 papers
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…
Inferring correlations associated to causal interactions in brain signals using autoregressive models
Víctor J. López-Madrona, Fernanda Matias, Claudio Mirasso +2
The specific connectivity of a neuronal network is reflected in the dynamics of the signals recorded on its nodes. The analysis of how the activity in one node predicts the behavio…
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…
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…
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…
Nonlinear multivariate analysis of Neurophysiological Signals
Ernesto Pereda, Rodrigo Quian Quiroga, Joydeep Bhattacharya
Multivariate time series analysis is extensively used in neurophysiology with the aim of studying the relationship between simultaneously recorded signals. Recently, advances on in…