Analysis of Neurodynamics on Phase Neural Coding in the Presence of Inhibitory Neurons

The Effect of Inhibitory Neuron on the Evolution Model of Higher-Order Coupling Neural Oscillator Population

Computational and Mathematical Methods in Medicine ◽

10.1155/2014/174274 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Yi Qi ◽

Rubin Wang ◽

Xianfa Jiao ◽

Ying Du

Keyword(s):

Coupling Strength ◽

Neural Coding ◽

Inhibitory Neuron ◽

Higher Order ◽

Inhibitory Neurons ◽

Neural Oscillator ◽

Number Density ◽

External Stimulation ◽

Average Number Density ◽

Inhibitory Coupling

We proposed a higher-order coupling neural network model including the inhibitory neurons and examined the dynamical evolution of average number density and phase-neural coding under the spontaneous activity and external stimulating condition. The results indicated that increase of inhibitory coupling strength will cause decrease of average number density, whereas increase of excitatory coupling strength will cause increase of stable amplitude of average number density. Whether the neural oscillator population is able to enter the new synchronous oscillation or not is determined by excitatory and inhibitory coupling strength. In the presence of external stimulation, the evolution of the average number density is dependent upon the external stimulation and the coupling term in which the dominator will determine the final evolution.

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A whole-cell recording database of neuromodulatory action in the adult neocortex

10.1101/2022.01.12.476007 ◽

2022 ◽

Author(s):

Xuan Yan ◽

Niccolo Calcini ◽

Payam Safavi ◽

Asli Ak ◽

Koen Kole ◽

...

Keyword(s):

Information Processing ◽

Biological Networks ◽

Neural Coding ◽

Inhibitory Neurons ◽

Systematic Analysis ◽

Whole Cell ◽

Adult Mice ◽

Insight Into

Background: The recent release of two large intracellular electrophysiological databases now allows high-dimensional systematic analysis of mechanisms of information processing in the neocortex. Here, to complement these efforts, we introduce a freely and publicly available database that provides a comparative insight into the role of various neuromodulatory transmitters in controlling neural information processing. Findings: A database of in vitro whole-cell patch-clamp recordings from primary somatosensory and motor cortices (layers 2/3) of the adult mice (2-15 months old) from both sexes is introduced. A total of 464 current-clamp experiments from identified excitatory and inhibitory neurons are provided. Experiments include recordings with (i) Step-and-Hold protocol during which the current was transiently held at 10 steps, gradually increasing in amplitude, (ii) 'Frozen Noise' injections that model the amplitude and time-varying nature of synaptic inputs to a neuron in biological networks. All experiments follow a within neuron across drug design which includes a vehicle control and a modulation of one of the following targets in the same neuron: dopamine and its receptors D1R, D2R, serotonin 5HT1f receptor, norepinephrine Alpha1, and acetylcholine M1 receptors. Conclusions: This dataset is the first to provide a systematic and comparative insight into the role of the selected neuromodulators in controlling cellular excitability. The data will help to mechanistically address how bottom-up information processing can be modulated, providing a reference for studying neural coding characteristics and revealing the contribution of neuromodulation to information processing.

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