# Signal integration enhances the dynamic range in neuronal systems.

@article{Gollo2012SignalIE, title={Signal integration enhances the dynamic range in neuronal systems.}, author={Leonardo L. Gollo and Claudio R. Mirasso and V{\'i}ctor M. Egu{\'i}luz}, journal={Physical review. E, Statistical, nonlinear, and soft matter physics}, year={2012}, volume={85 4 Pt 1}, pages={ 040902 } }

The dynamic range measures the capacity of a system to discriminate the intensity of an external stimulus. Such an ability is fundamental for living beings to survive: to leverage resources and to avoid danger. Consequently, the larger is the dynamic range, the greater is the probability of survival. We investigate how the integration of different input signals affects the dynamic range, and in general the collective behavior of a network of excitable units. By means of numerical simulations…

## 16 Citations

Modulation of neuronal dynamic range using two different adaptation mechanisms

- Biology, PsychologyNeural regeneration research
- 2017

The model results suggested that the neuronal dynamic range can be differentially modulated by different adaptation mechanisms, and noise was a non-ignorable factor, which could effectively modulate the neuronalynamic range.

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- 2015

It is shown that the capability of the network to distinguish the amount of external input can be improved by two orders of magnitude in the presence of diversity, and how diversity enhances the network capabilities is explained.

Enhancement of the Neuronal Dynamic Range by Proper Intensities of Channel Noise

- Physics
- 2013

The capability of a biological neuron to discriminate the intensity of external stimulus is measured in its dynamic range. In previous studies, a few factors have been reported to be able to enhance…

Diversity improves performance in excitable networks

- BiologyPeerJ
- 2016

Analysis of a general model of excitable systems with heterogeneous excitability finds that diversity can greatly enhance optimal performance when distinguishing incoming inputs, and indicates that diversity-induced amplification can be harnessed by neuronal systems for evaluating stimulus intensities.

Rounding of abrupt phase transitions in brain networks

- Biology
- 2014

An extensive numerical study of a family of simple dynamic models, which describe activity propagation in brain networks through the integration of different neighboring spiking potentials, mimicking basic neural interactions, shows that, in finite-dimensional hierarchical networks, discontinuous phase transitions exhibit a rounding phenomenon and turn continuous for values of the topological dimension $D\le 2$, due to the presence of structural or topological disorder.

Inhibition causes ceaseless dynamics in networks of excitable nodes.

- Computer SciencePhysical review letters
- 2014

This work considers inhibitory nodes which may be activated just like excitatory nodes but, upon activating, decrease the probability of activation of network neighbors, suggesting that inhibition may play a counterintuitive role in excitable networks.

Coexistence of critical sensitivity and subcritical specificity can yield optimal population coding

- BiologyJournal of The Royal Society Interface
- 2017

It is shown that optimal performance is obtained when only a small subset of the system is at criticality, and that this impasse can be solved by heterogeneous systems incorporating functional diversity, in which critical and subcritical components coexist.

Dynamic range maximization in excitable networks.

- Computer ScienceChaos
- 2018

Comparisons with other competing heuristics on both synthetic and real-world networks indicate that the proposed method can maximize the dynamic range by removing the smallest number of links, and at the same time maintaining the largest size of the giant connected component.

Spatially resolved dendritic integration: towards a functional classification of neurons

- BiologyPeerJ
- 2020

This work focuses on the evolution and interactions of dendritic spikes in excitable neurons with complex real branch structures from the online repository NeuroMorpho.org, and proposes a classification of neurons based on the location of the soma (centrality) and the number of branches connected to the Soma.

Spatially resolved dendritic integration: Towards a functional classification of neurons

- BiologybioRxiv
- 2019

This work studies the evolution and interactions of dendritic spikes in excitable neurons with complex real branch structures from the online repository NeuroMorpho.org, and proposes a classification of neurons based on the location of the soma (centrality) and the number of branches connected to the Soma.

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