Abstract
The mammalian visual system has developed complex strategies to optimize the allocation of its limited attentional resources for the relay of behaviorally relevant visual information. Here, we describe a framework for the relay of visual information that is based on the tonic and burst properties of the LGN. The framework consists of a multi-sensor transmitter and receiver that are connected by a channel with limited total bandwidth. Each sensor in the transmitter has two states, tonic and burst, and the current state depends on the salience of the recent visual input. In burst mode, a sensor transmits only one bit of information corresponding to the absence or presence of a salient stimulus, while in tonic mode, a sensor attempts to faithfully relay the input with as many bits as are available. By comparing video reconstructed from the signals of detect/transmit sensors with that reconstructed from the signals of transmit only sensors, we demonstrate that the detect/transmit framework can significantly improve relay by dynamically allocating bandwidth to the most salient areas of the visual field.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sherman, S.M.: Tonic and burst firing: dual modes of thalamocortical relay. TINS 24, 122–126 (2001)
Krahe, R., Gabbiani, F.: Burst firing in sensory systems. Nature Reviews: Neuroscience 5, 13–23 (2004)
Steriade, M., Llinas, R.R.: The functional states of the thalamus and the associated neuronal interplay. Physiol. Rev. 68, 649–742 (1988)
Sillito, A.M., Jones, H.E.: Corticothalamic interaction in the transfer of visual information. Phil. Trans. R. Soc. Lond. B 357, 1739–1752 (2002)
Guido, W., Weyand, T.: Burst responses in thalamic relay cells of the awake behaving cat. J. Neurophysiol. 74, 1782–1786 (1995)
Weyand, T.G., Boudreaux, M., Guido, W.: Burst and tonic response modes in thalamic neurons during sleep and wakefulness. J. Neurophysiol. 85, 1107–1118 (2001)
Lesica, N.A., Stanley, G.B.: Encoding of natural scene movies by tonic and burst spikes in the lateral geniculate nucleus. J. Neurosci. 24, 10731–10740 (2004)
Simoncelli, E.P., Olshausen, B.A.: Natural image statistics and neural representation. Annu. Rev. Neurosci. 24, 1193–1216 (2001)
Itti, L., Koch, C.: A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Res. 40, 1489–1506 (2000)
Itti, L., Koch, C.: Computational modelling of visual attention. Nature Rev. Neurosci. 2, 194–203 (2001)
Shipp, S.: The brain circuitry of attention. TICS 8, 223–230 (2004)
Barlow, H.B.: Possible principles underlying the transformations of sensory messages. In: Rosenblith, W.A. (ed.) Sensory Communication, pp. 217–234. MIT Press, Cambridge (1961)
Srinivasan, M.V., Laughlin, S.B., Dubs, A.: Predictive coding: A fresh view of inhibition in the retina. Proc. R. Soc. Lond. B 216, 427–459 (1982)
Atick, J.J., Redlich, A.N.: What does the retina know about natural scenes? Neural Computation 4, 196–210 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lesica, N.A., Stanley, G.B. (2005). An LGN Inspired Detect/Transmit Framework for High Fidelity Relay of Visual Information with Limited Bandwidth. In: De Gregorio, M., Di Maio, V., Frucci, M., Musio, C. (eds) Brain, Vision, and Artificial Intelligence. BVAI 2005. Lecture Notes in Computer Science, vol 3704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11565123_18
Download citation
DOI: https://doi.org/10.1007/11565123_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29282-1
Online ISBN: 978-3-540-32029-6
eBook Packages: Computer ScienceComputer Science (R0)