Literature DB >> 1795233

Filter characteristics of cercal afferents in the cockroach.

Y Kondoh1, T Arima, J Okuma, Y Hasegawa.   

Abstract

The response dynamics of cercal afferents in the cockroach. Periplaneta americana, were determined by means of a cross-correlation technique using a Gaussian white noise modulation of wind as a stimulus. The white noise stimulus could evoke sustained firing activity in most of the afferents examined (Fig. 1). The spike discharges were unitized and then cross-correlated with the stimulus to compute 1st- and 2nd-order Weiner kernels. The 1st-order kernels from a total of 28 afferents were biphasic and closely matched the time differential of a pulse (Figs. 1, 3 and 4). The amplitude and waveform of the kernels depended on the stimulus angle in such a way that the kernels were the mirror image of those on the polar opposite side (Figs. 2 and 3). The 2nd-order kernels were also differential. They had 2 diagonal peaks and 2 off-diagonal valleys in a 2-dimensional plot with 2 time axes (Figs. 1, 5 and 6). This 4-eye configuration was basically invariant irrespective of the stimulus angle, although the kernels varied in amplitude when the stimulus angle was changed. The time between the peak and a following trough of the 1st-order kernel was constant and had a mean of 4.6 +/- 0.1 ms, whereas the time between 2 diagonal peaks of the 2nd-order kernels was 4.7 +/- 0.1 ms (Figs. 4 and 6), suggesting that wind receptors (filiform sensilla) on cerci act as a band-pass filter with a peak frequency of about 106 Hz. The peak time, however, varies from 2.3 to 6.9 ms in both kernels, which may reflect the spatial distribution of the corresponding hairs on the cercus. The summation of the 1st- (linear) and 2nd-order (nonlinear) models precisely predicted the timing of the spike firing (Fig. 8). Thus, these 2 lower-order kernels can totally characterize the response dynamics of the wind receptors. The nonlinear response explains the directional sensitivity of the sensory neurons, while the differentiating 1st-order kernel explains the velocity sensitivity of the neurons. The nonlinearity is a signal compression in which one of the diagonal peaks of the 2nd-order kernel always offsets the downward phase of the 1st-order kernel (Fig. 7) and obviously represents a half-wave rectification property of the wind receptors that are excited by hair movement in only one direction and inhibited by hair movement in the polar opposite direction.

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Year:  1991        PMID: 1795233     DOI: 10.1007/BF00194894

Source DB:  PubMed          Journal:  J Comp Physiol A            Impact factor:   1.836


  14 in total

1.  White noise analysis of graded response in a wind-sensitive, nonspiking interneuron of the cockroach.

Authors:  Y Kondoh; H Morishita; T Arima; J Okuma; Y Hasegawa
Journal:  J Comp Physiol A       Date:  1991-04       Impact factor: 1.836

2.  The ultrastructure of the thread-hairs on the cerci of the cockroach Periplaneta americana L.: the intermoult phase.

Authors:  W Gnatzy
Journal:  J Ultrastruct Res       Date:  1976-01

3.  Nonlinear analysis of sensory transduction in an insect mechanoreceptor.

Authors:  A S French; R K Wong
Journal:  Biol Cybern       Date:  1977-06-13       Impact factor: 2.086

4.  Signal transmission in the catfish retina. II. Transmission to type-N cell.

Authors:  M Sakuranaga; K Naka
Journal:  J Neurophysiol       Date:  1985-02       Impact factor: 2.714

Review 5.  White-noise analysis in visual neuroscience.

Authors:  H M Sakai; K Naka; M J Korenberg
Journal:  Vis Neurosci       Date:  1988       Impact factor: 3.241

6.  Connectivity pattern of the cercal-to-giant interneuron system of the American cockroach.

Authors:  D L Daley; J M Camhi
Journal:  J Neurophysiol       Date:  1988-10       Impact factor: 2.714

7.  Dynamic properties of cockroach cercal "threadlike" hair sensilla.

Authors:  W Buño; L Monti-Bloch; A Mateos; P Handler
Journal:  J Neurobiol       Date:  1981-03

8.  The cercal receptor system of the praying mantid, Archimantis brunneriana Sauss. II. Cercal nerve structure and projection and electrophysiological responses of the individual receptors.

Authors:  E E Ball; G S Boyan; R C Stone
Journal:  Cell Tissue Res       Date:  1982       Impact factor: 5.249

9.  Dynamic relationship between the slow potential and spikes in cockroach ocellar neurons.

Authors:  M Mizunami; H Tateda
Journal:  J Gen Physiol       Date:  1988-05       Impact factor: 4.086

10.  Properties of action potentials from insect motor nerve fibres.

Authors:  K G Pearson; R B Stein; S K Malhotra
Journal:  J Exp Biol       Date:  1970-10       Impact factor: 3.312

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  6 in total

1.  Assessing the performance of neural encoding models in the presence of noise.

Authors:  J C Roddey; B Girish; J P Miller
Journal:  J Comput Neurosci       Date:  2000 Mar-Apr       Impact factor: 1.621

Review 2.  Animal escapology II: escape trajectory case studies.

Authors:  Paolo Domenici; Jonathan M Blagburn; Jonathan P Bacon
Journal:  J Exp Biol       Date:  2011-08-01       Impact factor: 3.312

3.  Neural circuitry underlying linear representation of wind information in a nonspiking local interneuron of the cockroach.

Authors:  J Okuma; Y Kondoh
Journal:  J Comp Physiol A       Date:  1996-12       Impact factor: 1.836

4.  Processing of mechanosensory information from gustatory receptors on a hind leg of the locust.

Authors:  P L Newland; M Burrows
Journal:  J Comp Physiol A       Date:  1994-04       Impact factor: 1.836

5.  Wind spectra and the response of the cercal system in the cockroach.

Authors:  D Rinberg; H Davidowitz
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-10-18       Impact factor: 1.836

6.  Cockroaches keep predators guessing by using preferred escape trajectories.

Authors:  Paolo Domenici; David Booth; Jonathan M Blagburn; Jonathan P Bacon
Journal:  Curr Biol       Date:  2008-11-13       Impact factor: 10.834

  6 in total

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