Hostname: page-component-848d4c4894-r5zm4 Total loading time: 0 Render date: 2024-06-23T09:59:11.920Z Has data issue: false hasContentIssue false
  • English
  • Français

No doubt about offset latency

Published online by Cambridge University Press:  01 September 2004

WYETH BAIR
WYETH BAIR
Affiliation:
University Laboratory of Physiology, Oxford, UK
Get access Rights & Permissions [Opens in a new window]

Abstract

Neuronal response latency usually refers to the time between the presentation of a visual stimulus and the elevation in firing rate that follows. Expanding on this idea, the concept of response offset latency refers to the time between the removal of a stimulus (or its replacement with one that is less effective) and the resulting decline in firing rate. The initial observation that offset latency is usually shorter than onset latency (Bair et al., 2002) has been called into question on the basis of the pulsatile nature of visual stimuli presented on a CRT (Gawne & Woods, 2003). Here, a counter argument is presented in support of the results of Bair et al., 2002.

Keywords

Response latencyResponse offsetNeuronal integration time
Type
Research Article
Information
Visual Neuroscience , Volume 21 , Issue 5 , September 2004 , pp. 671 - 674
Copyright
2004 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Adrian, E.D. & Matthews, R. (1927). The action of light on the eye. Part I. The discharge of impulses in the optic never and its relation to the electric changes in the retina. Journal of Physiology (London) 63, 378–414.Google Scholar
Azouz, R. & Gray, C.M. (1999). Cellular mechanisms contributing to a response variability of cortical neurons in vivo. Journal of Neuroscience 19, 2209–2223.Google Scholar
Bair, W., Cavanaugh, J.R., Smith, M.A., & Movshon, J.A. (2002). The timing of response onset and offset in macaque visual neurons. Journal of Neuroscience 22, 3189–3205.Google Scholar
Bair, W., Cavanaugh, J.R., & Movshon, J.A. (2003). Time course and time–distance relationships for surround suppression in macaque V1 neurons. Journal of Neuroscience 23, 7690–7701.Google Scholar
Bugmann, G. (1992). The neuronal computation time. In Artificial Neural Networks II: Proceedings of the International Conference on Artificial Neural Networks. Brighton, UK, Sept. 4–7, ed. Aleksander, I., & Taylor, J., pp. 861–864. Elsevier Science Publishers.
Coenen, A.M.L., Gerrits, H.J.M., & Vendrik, A.J.H. (1972). Analysis of the response characteristics of optic tract and geniculate units and their mutual relationship. Experimental Brain Research 15, 452–471.Google Scholar
Gawne, T.A. & Woods, J.M. (2003). Video-rate and continuous visual stimuli do not produce equivalent timings in visual cortical neurons. Visual Neuroscience 20, 495–500.Google Scholar
Hartline, H.K. (1938). The response of single optic nerve fibers of the vertebrate eye to illumination of the retina. American Journal of Physiology 121, 400–415.Google Scholar
Hubel, D.H. & Wiesel, T.N. (1962). Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology 160, 106–154.Google Scholar
Humphrey, A.L. & Weller, R.E. (1988). Functionally distinct groups of X-cells in the lateral geniculate nucleus of the cat. Journal of Comparative Neurology 268, 429–447.Google Scholar
Mastronarde, D.N. (1987). Two classes of single-input X-cells in cat lateral geniculate nucleus. I. Receptive field properties and classification of cells. Journal of Neurophysiology 57, 357–380.Google Scholar
Oviedo, H., Bair, W., & Reyes, A.D. (2001). Comparison of response timing in visual cortex in vivo with somatic current injection in neocortical neurons in vitro. Society for Neuroscience Abstracts 27, #123. 10.Google Scholar
Volgushev, M., Vidyasagar, T.R., & Pei, X. (1995). Dynamics of the orientation tuning of postsynaptic potentials in the cat visual cortex. Visual Neuroscience 12, 621–628.Google Scholar
von Baumgarten, R. & Jung, R. (1952). Microelectrode studies on the visual cortex. Revue Neurologique (Paris) 87, 151–155.Google Scholar