24 citations · 67 across the 8 of their papers we have counts for
6 papers · 1 filter
Noise-induced interspike interval correlations and spike train regularization in spike-triggered adapting neurons
Eugenio Urdapilleta
Spike generation in neurons produces a temporal point process, whose statistics is governed by intrinsic phenomena and the external incoming inputs to be coded. In particular, spik…
Effects of spike-triggered negative feedback on receptive-field properties
Eugenio Urdapilleta, Inés Samengo
Sensory neurons are often described in terms of a receptive field, that is, a linear kernel through which stimuli are filtered before they are further processed. If information tra…
Can rodents conceive hyperbolic spaces?
Eugenio Urdapilleta, Francesca Troiani, Federico Stella +1
The grid cells discovered in the rodent medial entorhinal cortex have been proposed to provide a metric for Euclidean space, possibly even hardwired in the embryo. Yet one class of…
Onset of negative interspike interval correlations in adapting neurons
Eugenio Urdapilleta
Negative serial correlations in single spike trains are an effective method to reduce the variability of spike counts. One of the factors contributing to the development of negativ…
The firing statistics of Poisson neuron models driven by slow stimuli
Eugenio Urdapilleta, Ines Samengo
The coding properties of cells with different types of receptive fields have been studied for decades. ON-type neurons fire in response to positive fluctuations of the time-depende…
Quasi-static approximation of the interspike interval distribution of neurons driven by time-dependent inputs
Eugenio Urdapilleta, Ines Samengo
Variability in neural responses is an ubiquitous phenomenon in neurons, usually modeled with stochastic differential equations. In particular, stochastic integrate-and-fire models…