Effect of the Twirling Frequency on Firing Patterns Evoked by Acupuncture

2010 ◽  
pp. 671-682
Author(s):  
Yu-Liang Liu ◽  
Jiang Wang ◽  
Wen-Jie Si ◽  
Bin Deng ◽  
Xi-Le Wei
Keyword(s):  
Firing Patterns

scholarly journals Development of network structure and synchronized firing patterns in dissociated culture of neurons

2019 ◽  
Vol 102 (9) ◽  
pp. 3-11
Author(s):  
Atsushi Kayama ◽  
Yuichiro Yada ◽  
Hirokazu Takahashi
Keyword(s):  
Network Structure ◽  
Firing Patterns

scholarly journals Differential Effects of Open- and Closed-Loop Intracortical Microstimulation on Firing Patterns of Neurons in Distant Cortical Areas

2019 ◽  
Vol 30 (5) ◽  
pp. 2879-2896 ◽  
Author(s):  
Alberto Averna ◽  
Valentina Pasquale ◽  
Maxwell D Murphy ◽  
Maria Piera Rogantin ◽  
Gustaf M Van Acker ◽  
...  
Keyword(s):  
Closed Loop ◽  
Activity Patterns ◽  
Brain Lesion ◽  
Progressive Increase ◽  
Intracortical Microstimulation ◽  
Behavioral Recovery ◽  
Firing Patterns ◽  
Electrical Microstimulation ◽  
Spike Patterns ◽  
Activity Dependent

Abstract Intracortical microstimulation can be used successfully to modulate neuronal activity. Activity-dependent stimulation (ADS), in which action potentials recorded extracellularly from a single neuron are used to trigger stimulation at another cortical location (closed-loop), is an effective treatment for behavioral recovery after brain lesion, but the related neurophysiological changes are still not clear. Here, we investigated the ability of ADS and random stimulation (RS) to alter firing patterns of distant cortical locations. We recorded 591 neuronal units from 23 Long-Evan healthy anesthetized rats. Stimulation was delivered to either forelimb or barrel field somatosensory cortex, using either RS or ADS triggered from spikes recorded in the rostral forelimb area (RFA). Both RS and ADS stimulation protocols rapidly altered spike firing within RFA compared with no stimulation. We observed increase in firing rates and change of spike patterns. ADS was more effective than RS in increasing evoked spikes during the stimulation periods, by producing a reliable, progressive increase in stimulus-related activity over time and an increased coupling of the trigger channel with the network. These results are critical for understanding the efficacy of closed-loop electrical microstimulation protocols in altering activity patterns in interconnected brain networks, thus modulating cortical state and functional connectivity.

scholarly journals Kiss1 Neurons Drastically Change Their Firing Activity in Accordance With the Reproductive State: Insights From a Seasonal Breeder

Endocrinology ◽  
2014 ◽  
Vol 155 (12) ◽  
pp. 4868-4880 ◽  
Author(s):  
Masaharu Hasebe ◽  
Shinji Kanda ◽  
Hiroyuki Shimada ◽  
Yasuhisa Akazome ◽  
Hideki Abe ◽  
...  
Keyword(s):  
Fluorescent Protein ◽  
Resting Membrane Potential ◽  
Reproductive State ◽  
Firing Patterns ◽  
State Dependent ◽  
Channel Expression ◽  
Physiological Analysis ◽  
Seasonal Breeder ◽  
Green Fluorescent

Kisspeptin (Kiss) neurons show drastic changes in kisspeptin expression in response to the serum sex steroid concentration in various vertebrate species. Thus, according to the reproductive states, kisspeptin neurons are suggested to modulate various neuronal activities, including the regulation of GnRH neurons in mammals. However, despite their reproductive state-dependent regulation, there is no physiological analysis of kisspeptin neurons in seasonal breeders. Here we generated the first kiss1-enhanced green fluorescent protein transgenic line of a seasonal breeder, medaka, for histological and electrophysiological analyses using a whole-brain in vitro preparation in which most synaptic connections are intact. We found histologically that Kiss1 neurons in the nucleus ventralis tuberis (NVT) projected to the preoptic area, hypothalamus, pituitary, and ventral telencephalon. Therefore, NVT Kiss1 neurons may regulate various homeostatic functions and innate behaviors. Electrophysiological analyses revealed that they show various firing patterns, including bursting. Furthermore, we found that their firings are regulated by the resting membrane potential. However, bursting was not induced from the other firing patterns with a current injection, suggesting that it requires some chronic modulations of intrinsic properties such as channel expression. Finally, we found that NVT Kiss1 neurons drastically change their neuronal activities according to the reproductive state and the estradiol levels. Taken together with the previous reports, we here conclude that the breeding condition drastically alters the Kiss1 neuron activities in both gene expression and firing activities, the latter of which is strongly related to Kiss1 release, and the Kiss1 peptides regulate the activities of various neural circuits through their axonal projections.

Digital video: a tool for correlating neuronal firing patterns with hand motor behavior

1998 ◽  
Vol 82 (2) ◽  
pp. 215-231 ◽  
Author(s):  
Jin Y. Ro ◽  
Daniel Debowy ◽  
Stanley Lu ◽  
Soumya Ghosh ◽  
Esther P. Gardner
Keyword(s):  
Digital Video ◽  
Motor Behavior ◽  
Neuronal Firing ◽  
Firing Patterns

Differential firing patterns of the peptide-containing cholinergic motor neurons B15 and B16 during feeding behavior inAplysia

1990 ◽  
Vol 522 (1) ◽  
pp. 176-179 ◽  
Author(s):  
Elizabeth C. Cropper ◽  
Irving Kupfermann ◽  
Klaudiusz R. Weiss
Keyword(s):  
Feeding Behavior ◽  
Motor Neurons ◽  
Firing Patterns

IDENTIFYING DISTINCT STOCHASTIC DYNAMICS FROM CHAOS: A STUDY ON MULTIMODAL NEURAL FIRING PATTERNS

2009 ◽  
Vol 19 (02) ◽  
pp. 453-485 ◽  
Author(s):  
MINGHAO YANG ◽  
ZHIQIANG LIU ◽  
LI LI ◽  
YULIN XU ◽  
HONGJV LIU ◽  
...  
Keyword(s):  
Time Series ◽  
Limit Cycle ◽  
Stochastic Dynamics ◽  
Nonlinear Time Series ◽  
Special Importance ◽  
Neuronal System ◽  
Neural Firing ◽  
Firing Patterns ◽  
Theoretical Simulation ◽  
Definition Of

Some chaotic and a series of stochastic neural firings are multimodal. Stochastic multimodal firing patterns are of special importance because they indicate a possible utility of noise. A number of previous studies confused the dynamics of chaotic and stochastic multimodal firing patterns. The confusion resulted partly from inappropriate interpretations of estimations of nonlinear time series measures. With deliberately chosen examples the present paper introduces strategies and methods of identification of stochastic firing patterns from chaotic ones. Aided by theoretical simulation we show that the stochastic multimodal firing patterns result from the effects of noise on neuronal systems near to a bifurcation between two simpler attractors, such as a point attractor and a limit cycle attractor or two limit cycle attractors. In contrast, the multimodal chaotic firing trains are generated by the dynamics of a specific strange attractor. Three systems were carefully chosen to elucidate these two mechanisms. An experimental neural pacemaker model and the Chay mathematical model were used to show the stochastic dynamics, while the deterministic Wang model was used to show the deterministic dynamics. The usage and interpretation of nonlinear time series measures were systematically tested by applying them to firing trains generated by the three systems. We successfully identified the distinct differences between stochastic and chaotic multimodal firing patterns and showed the dynamics underlying two categories of stochastic firing patterns. The first category results from the effects of noise on the neuronal system near a Hopf bifurcation. The second category results from the effects of noise on the period-adding bifurcation between two limit cycles. Although direct application of nonlinear measures to interspike interval series of these firing trains misleadingly implies chaotic properties, definition of eigen events based on more appropriate judgments of the underlying dynamics leads to accurate identifications of the stochastic properties.

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