Subthreshold oscillations and neuronal input-output relationships

Authors:
Fabiano Baroni;Pablo Varona
Affiliations:
Grupo de Neurocomputación Biológica (GNB), Dpto. de Ingeniería Informática, Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049 Madrid, Spain;Grupo de Neurocomputación Biológica (GNB), Dpto. de Ingeniería Informática, Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049 Madrid, Spain
Venue:
Neurocomputing
Year:
2007

Citing 2
Cited 2

An efficient method for computing synaptic conductances based on a kinetic model of receptor binding

Neural Computation
Neural Signatures: Multiple Coding in Spiking–bursting Cells

Biological Cybernetics

Type i and type ii neuron models are selectively driven by differential stimulus features

Neural Computation
Determining burst firing time distributions from multiple spike trains

Neural Computation

Quantified Score

Hi-index	0.01

Visualization

Abstract

The difference between resonator and integrator neurons relies upon a frequency preference for the former, while the latter monotonically increase their spiking probability with the frequency of a periodic input. In model neurons where dynamics on multiple time scales are present (hence ubiquitously in real neurons) the concept of frequency preference can naturally be broaden to take into account preference towards temporally specific n-uples of presynaptic inputs. On the other hand, single neurons with dynamics on multiple time scales can detect specific temporal patterns as we discuss in this paper.