neuron patterning
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The Analyst ◽  
2021 ◽  
Author(s):  
Wenming Liu ◽  
Wenzhu Fu ◽  
Meilin Sun ◽  
Kai Han ◽  
Rui Hu ◽  
...  

We present straightforward neuron patterning and neuronal network construction on polydimethylsiloxane based on functionalized Pluronic modification using microfluidics-guided flow deposition.


Langmuir ◽  
2014 ◽  
Vol 30 (23) ◽  
pp. 7037-7046 ◽  
Author(s):  
Harald Dermutz ◽  
Raphael R. Grüter ◽  
Anh Minh Truong ◽  
László Demkó ◽  
János Vörös ◽  
...  
Keyword(s):  

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Matteo Lorenzoni ◽  
Fernando Brandi ◽  
Silvia Dante ◽  
Andrea Giugni ◽  
Bruno Torre

2012 ◽  
Vol 122 (1) ◽  
pp. 196-207 ◽  
Author(s):  
Sandra Noble ◽  
Abid Ismail ◽  
Rafael Godoy ◽  
Yanwei Xi ◽  
Marc Ekker

2011 ◽  
Vol 46 (1) ◽  
pp. 252-261 ◽  
Author(s):  
W. Tom ◽  
M. de Bruyne ◽  
M. Haehnel ◽  
J.R. Carlson ◽  
A. Ray

2009 ◽  
pp. 145-156 ◽  
Author(s):  
C.L. Beites ◽  
S. Kawauchi ◽  
A.L. Calof

2003 ◽  
Vol 56 (4) ◽  
pp. 328-337 ◽  
Author(s):  
Amy W. Lin ◽  
Ellen M. Carpenter

2003 ◽  
Vol 773 ◽  
Author(s):  
Shalini Prasad ◽  
Mo Yang ◽  
Xuan Zhang ◽  
Yingchun Ni ◽  
Vladimir Parpura ◽  
...  

AbstractCharacterization of electrical activity of individual neurons is the fundamental step in understanding the functioning of the nervous system. Single cell electrical activity at various stages of cell development is essential to accurately determine in in-vivo conditions the position of a cell based on the procured electrical activity. Understanding memory formation and development translates to changes in the electrical activity of individual neurons. Hence, there is an enormous need to develop novel ways for isolating and positioning individual neurons over single recording sites. To this end, we used a 3x3 multiple microelectrode array system to spatially arrange neurons by applying a gradient AC field. We characterized the electric field distribution inside our test platform by using two dimensiona l finite element modeling (FEM) and determined the location of neurons over the electrode array. Dielectrophoretic AC fields were utilized to separate the neurons from the glial cells and to position the neurons over the electrodes. The neurons were obtained from 0-2-day-old rat (Sprague-Dawley) pups. The technique of using electric fields to achieve single neuron patterning has implications in neural engineering, elucidating a new and simpler method to develop and study neuronal activity as compared to conventional microelectrode array techniques.


1981 ◽  
Vol 45 (3) ◽  
pp. 574-592 ◽  
Author(s):  
T. Nagai ◽  
K. Ueda

1. The present study was intended to elucidate the role of temporal patterns of impulse discharges of the gustatory primary afferents in the coding of taste qualities by the use of simultaneous analyses of the across-neuron patterning (5) and the temporal patterning of impulses. 2. Impulse discharges of 43 rat chorda tympani fibers elicited by gustatory stimulation (0.1 M NaCl, 0.5 M sucrose, 0.01 N HCl, 0.02 M quinine hydrochloride, 0.3 M KCl, and 0.02 M saccharin sodium) were recorded. The temporal patterns of impulse discharges elicited by these stimuli were statistically analyzed both in an initial dynamic phase and a succeeding stationary phase of responses. In the dynamic phase, the time courses of firing frequency were studied; however, these were not clearly associated with the qualities of taste stimuli. In the stationary phase, the stochastic properties of impulse trains were studied regarding the impulse trains as a stochastic point process (30). In this study, interspike interval histograms (ISI histograms), joint interval histograms, serial correlograms, and autocorrelograms were computed. 3. In general, the distribution patterns of ISI histogram were not absolutely specific to the taste qualities. However, the gamma or the exponential distribution occurred most often with 0.1 M NaCl, and the bimodal or the skewed distribution was dominated with 0.5 M sucrose stimulation among the stimuli tested. The rhythmic discharges did not occur exclusively with the sweet taste stimulation, though they occurred more often with the sweet taste stimulation than with other taste stimulations. The joint interval histogram and the serial correlogram were used to examine the stochastic properties of impulse trains with particular reference to the time dependence in the impulse trains. Generally, the time dependence was not concerned with the taste qualities. 4. The chorda tympani fibers were classified into three types according to the magnitude of responses and the temporal patterns of impulse discharges. The neurons predominantly responsive to NaCl and unresponsive to sucrose were classified as type I neurons. The remaining neurons, which moderately responded to both NaCl and sucrose, were further categorized into type II neurons and type III neurons, depending on their temporal patterns of impulse discharge. The type II neurons tended to show the rhythmic or burstlike firing of impulses in response to more than one kind of taste stimuli. 5. The results showed that the taste quality was represented in the characteristic temporal patterning of impulses as well as in the across-neuron patterning of responses. The possible origin of the temporal discharge pattern and its significance in gustatory information processing were discussed on the basis of the neuron types described above.


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