# Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision

@article{Vardi2015NeuronalRI,
title={Neuronal response impedance mechanism implementing cooperative networks with low firing rates and $\mu$s precision},
author={Roni Vardi and Amir Goldental and Hagar Marmari and Haya Brama and Edward Stern and Shira Sardi and Pinhas Sabo and Ido Kanter},
journal={Frontiers in Neural Circuits},
year={2015},
volume={9}
}
• R. Vardi, +5 authors I. Kanter
• Published 19 November 2014
• Physics, Biology, Computer Science, Medicine
• Frontiers in Neural Circuits
Realizations of low firing rates in neural networks usually require globally balanced distributions among excitatory and inhibitory links, while feasibility of temporal coding is limited by neuronal millisecond precision. We show that cooperation, governing global network features, emerges through nodal properties, as opposed to link distributions. Using in vitro and in vivo experiments we demonstrate microsecond precision of neuronal response timings under low stimulation frequencies, whereas…
16 Citations

## Figures and Topics from this paper

Broadband macroscopic cortical oscillations emerge from intrinsic neuronal response failures
• Physics, Biology
Front. Neural Circuits
• 2015
It is shown how macroscopic oscillations emerge in solely excitatory random networks and without topological constraints and that these oscillations stem from the counterintuitive underlying mechanism—the intrinsic stochastic neuronal response failures (NRFs).
Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment
• Computer Science, Biology
Front. Neurosci.
• 2016
A versatile experimental technique, which enables the study of recurrent neural networks activity while being capable of dictating the network connectivity and synaptic strengths, and demonstrates the spontaneous emergence of cooperative synchronous oscillations within large-scale neural networks.
Optimal responsiveness and information flow in networks of heterogeneous neurons
• Medicine
Scientific reports
• 2021
It is found that heterogeneous networks are generally more responsive, with an optimal responsiveness occurring for levels of heterogeneity found experimentally in different published datasets, for both excitatory and inhibitory neurons.
Random Neuronal Networks show homeostatic regulation of global activity while showing persistent changes in specific connectivity paths to theta burst stimuli
• Computer Science, Medicine
Scientific Reports
• 2018
Global activity of the network quantified from spontaneous activity, which is disturbed due to theta burst stimuli is restored by homeostatic mechanisms while stimulus evoked changes in specific connectivity paths retain a memory trace of the training.
New Types of Experiments Reveal that a Neuron Functions as Multiple Independent Threshold Units
• Physics, Medicine
Scientific Reports
• 2017
Three types of experiments are presented, using neuronal cultures, indicating that each neuron functions as a collection of independent threshold units and that spatial summation and subtraction are not achieved when combining intra- and extra- cellular stimulations, as well as for nonlocal time interference, where the precise timings of the stimulations are irrelevant.
Fast Reversible Learning based on Neurons functioning as Anisotropic Multiplex Hubs
• Computer Science, Biology
• 2017
Neural networks are composed of neurons and synapses, which are responsible for learning in a slow adaptive dynamical process. Here we experimentally show that neurons act like independent
Vitality of Neural Networks under Reoccurring Catastrophic Failures
• Computer Science, Biology
Scientific reports
• 2016
It is experimentally shown that excitatory neural networks are governed by a non-Poissonian reoccurrence of catastrophic failures, where their repetition time follows a multimodal distribution characterized by a few tenths of a second and tens of seconds timescales.
Plasticity of brain wave network interactions and evolution across physiologic states
• Psychology, Medicine
Front. Neural Circuits
• 2015
This work introduces the concept of time delay stability (TDS) to quantify coordinated bursts in the activity of brain waves, and employs a system-wide Network Physiology integrative approach to probe the network of coordinated brain wave activations and its evolution across physiologic states.
Impedance Spectroscopy Dynamics of Biological Neural Elements: From Memristors to Neurons and Synapses.
• Medicine
The journal of physical chemistry. B
• 2021
This work presents an analysis of neural systems in the frequency domain by small-amplitude ac impedance spectroscopy and provides an interpretation of the varied spectra that appear in the more general Hodgkin-Huxley neuron model.
Stationary log-normal distribution of weights stems from spontaneous ordering in adaptive node networks
• Medicine, Computer Science
Scientific Reports
• 2018
It is shown that the biological reality of stationary log-normal distribution of effective link weights in neural networks is a result of such adaptive nodes, although each effective link weight varies significantly in time.

## References

SHOWING 1-10 OF 97 REFERENCES
Stable propagation of synchronous spiking in cortical neural networks
• Computer Science, Medicine
Nature
• 1999
The results indicate that a combinatorial neural code, based on rapid associations of groups of neurons co-ordinating their activity at the single spike level, is possible within a cortical-like network.
Sudden synchrony leaps accompanied by frequency multiplications in neuronal activity
• Computer Science, Biology
Front. Neural Circuits
• 2013
A mechanism where time-lags among neuronal spiking leap from several tens of milliseconds to nearly zero-lag synchrony is experimentally demonstrated, offering reliable information-bearing indicators which may bridge between the two principal neuronal coding paradigms.
Synchronization by elastic neuronal latencies.
• Computer Science, Medicine
Physical review. E, Statistical, nonlinear, and soft matter physics
• 2013
A cortical time scale for time controllers based on tens of microseconds stretching of neuronal circuit delay loops per spike is announced, calling for a reexamination of the role of the temporal periodic mode in brain functionality using advanced in vitro and in vivo experiments.
Synchronization among neuronal pools without common inputs: in vivo study
• Biology, Medicine
Brain Structure and Function
• 2014
The notion that this mechanism may account for the binding activity across distributed brain areas is supported by applying results from theoretical models and in vitro experiments to in vivo activity in the intact brain.
Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links
• Biology, Medicine
Scientific reports
• 2012
It is shown analytically and numerically, that recurrent neural networks can robustly generate internal noise optimal for spike transmission between neurons with the help of a long-tailed distribution in the weights of recurrent connections.
Synchronization with mismatched synaptic delays: A unique role of elastic neuronal latency
• Physics, Biology
• 2012
We show that the unavoidable increase in neuronal response latency to ongoing stimulation serves as a nonuniform gradual stretching of neuronal circuit delay loops and emerges as an essential
Gating Multiple Signals through Detailed Balance of Excitation and Inhibition in Spiking Networks
• Computer Science, Medicine
Nature Neuroscience
• 2009
This work studied networks in which incoming excitatory signals are normally cancelled by locally evoked inhibition, leaving the targeted layer unresponsive, and shows successful gating of multiple signals and study failure modes that produce effects reminiscent of clinically observed pathologies.
Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
• N. Brunel
• Computer Science, Medicine
Journal of Computational Neuroscience
• 2004
The dynamics of networks of sparsely connected excitatory and inhibitory integrate-and-fire neurons are studied analytically. The analysis reveals a rich repertoire of states, including synchronous
Dynamics of Excitability over Extended Timescales in Cultured Cortical Neurons
• Psychology, Medicine
The Journal of Neuroscience
• 2010
It is shown that the long-term neuronal excitability dynamics is unstable and dominated by critical fluctuations, intermittency, scale-invariant rate statistics, and long memory, calling for in-depth exploration of activity over wider temporal scales.
On the Transmission of Rate Code in Long Feedforward Networks with Excitatory–Inhibitory Balance
• Physics, Medicine
The Journal of Neuroscience
• 2003
It is concluded that the transmission of rate code in feedforward networks is highly unlikely because neurons in a given layer tend to synchronize partially with each other because of shared inputs.