Literature DB >> 1920162

Fast temporal adaptation of on-off units in the first optic chiasm of the blowfly.

N M Jansonius1, J H van Hateren.   

Abstract

1. We recorded from spiking units in the first optic chiasm between lamina and medulla in the brain of the blowfly (Calliphora vicina). Both previously characterized neuron types, on-off units and sustaining units, were encountered. On-off units had a temporal frequency response with a lower cut-off frequency than blowfly photoreceptors. This low cut-off frequency is related to a fast temporal adaptation of the on-off units to trains of short light pulses. Temporal adaptation occurred independently for short on- and off-pulses. 2. On-off units only responded to stimuli of relatively large contrast. Contrasts of less than 10% gave little or no response.

Entities:  

Mesh:

Year:  1991        PMID: 1920162     DOI: 10.1007/bf00224353

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


  11 in total

1.  Mechanisms of early visual processing in the medulla of the locust optic lobe: how self-inhibition, spatial-pooling, and signal rectification contribute to the properties of transient cells.

Authors:  D Osorio
Journal:  Vis Neurosci       Date:  1991-10       Impact factor: 3.241

2.  Electrical coupling of neuro-ommatidial photoreceptor cells in the blowfly.

Authors:  J H van Hateren
Journal:  J Comp Physiol A       Date:  1986-06       Impact factor: 1.836

3.  Directional tuning curves, elementary movement detectors, and the estimation of the direction of visual movement.

Authors:  J H van Hateren
Journal:  Vision Res       Date:  1990       Impact factor: 1.886

4.  Neural models for SUSTAINED and ON-OFF units of insect lamina.

Authors:  H Oğmen; S Gagné
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

5.  Early processing of colour and motion in a mosaic visual system.

Authors:  N Franceschini
Journal:  Neurosci Res Suppl       Date:  1985

6.  Spatial and temporal integration properties of units in first optic ganglion of dipterans.

Authors:  D W Arnett
Journal:  J Neurophysiol       Date:  1972-07       Impact factor: 2.714

7.  Receptive field organization of units in the first optic ganglion of diptera.

Authors:  D W Arnett
Journal:  Science       Date:  1971-09-03       Impact factor: 47.728

8.  Movement detection: performance of a wide-field element in the visual system of the blowfly.

Authors:  H A Mastebroek; W H Zaagman; B P Lenting
Journal:  Vision Res       Date:  1980       Impact factor: 1.886

9.  Membrane parameters, signal transmission, and the design of a graded potential neuron.

Authors:  J H van Hateren; S B Laughlin
Journal:  J Comp Physiol A       Date:  1990-02       Impact factor: 1.836

10.  Spectral and polarization sensitivity of the dipteran visual system.

Authors:  G D McCann; D W Arnett
Journal:  J Gen Physiol       Date:  1972-05       Impact factor: 4.086

View more
  9 in total

1.  The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: III. Visual response properties.

Authors:  J Haag; A Vermeulen; A Borst
Journal:  J Comput Neurosci       Date:  1999 Nov-Dec       Impact factor: 1.621

2.  Correlation between OFF and ON channels underlies dark target selectivity in an insect visual system.

Authors:  Steven D Wiederman; Patrick A Shoemaker; David C O'Carroll
Journal:  J Neurosci       Date:  2013-08-07       Impact factor: 6.167

3.  Properties of neuronal facilitation that improve target tracking in natural pursuit simulations.

Authors:  Zahra M Bagheri; Steven D Wiederman; Benjamin S Cazzolato; Steven Grainger; David C O'Carroll
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

4.  A neural model for nonassociative learning in a prototypical sensory-motor scheme: the landing reaction in flies.

Authors:  H Oğmen; M Moussa
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

5.  Characterisation of columnar neurons and visual signal processing in the medulla of the locust optic lobe by system identification techniques.

Authors:  A C James; D Osorio
Journal:  J Comp Physiol A       Date:  1996-02       Impact factor: 1.836

6.  Cholinergic and GABAergic pathways in fly motion vision.

Authors:  T M Brotz; E D Gundelfinger; A Borst
Journal:  BMC Neurosci       Date:  2001-02-09       Impact factor: 3.288

7.  Temporal and spatial adaptation of transient responses to local features.

Authors:  David C O'Carroll; Paul D Barnett; Karin Nordström
Journal:  Front Neural Circuits       Date:  2012-10-18       Impact factor: 3.492

8.  A model for the detection of moving targets in visual clutter inspired by insect physiology.

Authors:  Steven D Wiederman; Patrick A Shoemaker; David C O'Carroll
Journal:  PLoS One       Date:  2008-07-30       Impact factor: 3.240

9.  Neural Network Model for Detection of Edges Defined by Image Dynamics.

Authors:  Patrick A Shoemaker
Journal:  Front Comput Neurosci       Date:  2019-11-07       Impact factor: 2.380

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.