Response properties of stained monopolar cells in the honeybee lamina

1992 ◽  
Vol 170 (3) ◽  
pp. 267-274 ◽  
Author(s):  
John de Souza ◽  
Horst Hertel ◽  
Dora Fix Ventura ◽  
Randolf Menzel
Keyword(s):  
Response Properties

A First Principles Approach for Partitioning Linear Response Properties into Additive and Cooperative Contributions

2018 ◽  
Author(s):  
Daniel Lambrecht ◽  
Eric Berquist
Keyword(s):  
First Principles ◽  
Linear Response ◽  
Building Blocks ◽  
Field Method ◽  
Response Property ◽  
Response Properties ◽  
Consistent Field ◽  
Molecular Building Blocks ◽  
Self Consistent ◽  
Self Consistent Field

We present a first principles approach for decomposing molecular linear response properties into orthogonal (additive) plus non-orthogonal/cooperative contributions. This approach enables one to 1) identify the contributions of molecular building blocks like functional groups or monomer units to a given response property and 2) quantify cooperativity between these contributions. In analogy to the self consistent field method for molecular interactions, SCF(MI), we term our approach LR(MI). The theory, implementation and pilot data are described in detail in the manuscript and supporting information.

Influence of Surface States on Gas Response Properties of Pt/TiO2

2012 ◽  
Vol 27 (9) ◽  
pp. 928-932
Author(s):  
Mao-Lin ZHANG ◽  
Zhan-Heng YUAN ◽  
Jian-Ping SONG ◽  
Cheng ZHENG
Keyword(s):  
Surface States ◽  
Response Properties ◽  
Gas Response

Cell types and response properties of neurons in the ventral division of the medial geniculate body of the rabbit

2002 ◽  
Vol 445 (1) ◽  
pp. 78-96 ◽  
Author(s):  
Justin S. Cetas ◽  
Robin O. Price ◽  
David S. Velenovsky ◽  
Jennifer J. Crowe ◽  
Donal G. Sinex ◽  
...  
Keyword(s):  
Medial Geniculate Body ◽  
Cell Types ◽  
Response Properties ◽  
Medial Geniculate

Influence of nonlocal exchange-correlation effects on the response properties of simple metal clusters

1992 ◽  
Vol 46 (8) ◽  
pp. 4891-4898 ◽  
Author(s):  
A. Rubio ◽  
L. C. Balbás ◽  
J. A. Alonso
Keyword(s):  
Metal Clusters ◽  
Correlation Effects ◽  
Simple Metal ◽  
Response Properties ◽  
Exchange Correlation

scholarly journals Frequency response properties of primary afferent neurons in the posterior lateral line system of larval zebrafish

2015 ◽  
Vol 113 (2) ◽  
pp. 657-668 ◽  
Author(s):  
Rafael Levi ◽  
Otar Akanyeti ◽  
Aleksander Ballo ◽  
James C. Liao
Keyword(s):  
Lateral Line ◽  
Sine Wave ◽  
Afferent Neuron ◽  
Lateral Line System ◽  
Afferent Neurons ◽  
Primary Afferent Neurons ◽  
Primary Afferent ◽  
Line System ◽  
Response Properties ◽  
Larval Zebrafish

The ability of fishes to detect water flow with the neuromasts of their lateral line system depends on the physiology of afferent neurons as well as the hydrodynamic environment. Using larval zebrafish ( Danio rerio), we measured the basic response properties of primary afferent neurons to mechanical deflections of individual superficial neuromasts. We used two types of stimulation protocols. First, we used sine wave stimulation to characterize the response properties of the afferent neurons. The average frequency-response curve was flat across stimulation frequencies between 0 and 100 Hz, matching the filtering properties of a displacement detector. Spike rate increased asymptotically with frequency, and phase locking was maximal between 10 and 60 Hz. Second, we used pulse train stimulation to analyze the maximum spike rate capabilities. We found that afferent neurons could generate up to 80 spikes/s and could follow a pulse train stimulation rate of up to 40 pulses/s in a reliable and precise manner. Both sine wave and pulse stimulation protocols indicate that an afferent neuron can maintain their evoked activity for longer durations at low stimulation frequencies than at high frequencies. We found one type of afferent neuron based on spontaneous activity patterns and discovered a correlation between the level of spontaneous and evoked activity. Overall, our results establish the baseline response properties of lateral line primary afferent neurons in larval zebrafish, which is a crucial step in understanding how vertebrate mechanoreceptive systems sense and subsequently process information from the environment.

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