Hostname: page-component-76fb5796d-x4r87 Total loading time: 0 Render date: 2024-04-25T09:31:27.088Z Has data issue: false hasContentIssue false
  • English
  • Français

Amplified selectivity in cognitive processing implements the neural gain model of norepinephrine function

Published online by Cambridge University Press:  05 January 2017

Eran Eldar ,
Jonathan D. Cohen  and
Yael Niv
Eran Eldar
Affiliation:
Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdome.eldar@ucl.ac.uksites.google.com/site/eldareran/ Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, United Kingdom
Jonathan D. Cohen
Affiliation:
Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544jdc@princeton.eduwww.csbmb.princeton.edu/ncc/yael@princeton.eduwww.princeton.edu/~nivlab/ Psychology Department, Princeton University, Princeton, NJ 08544.
Yael Niv
Affiliation:
Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544jdc@princeton.eduwww.csbmb.princeton.edu/ncc/yael@princeton.eduwww.princeton.edu/~nivlab/ Psychology Department, Princeton University, Princeton, NJ 08544.
Get access Rights & Permissions [Opens in a new window]

Abstract

Previous work has suggested that an interaction between local selective (e.g., glutamatergic) excitation and global gain modulation (via norepinephrine) amplifies selectivity in information processing. Mather et al. extend this existing theory by suggesting that localized gain modulation may further mediate this effect – an interesting prospect that invites new theoretical and experimental work.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 39 , 2016 , e206
Copyright
Copyright © Cambridge University Press 2016 

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

Aston-Jones, G. & Cohen, J. D. (2005) An integrative theory of locus coeruleus–norepinephrine function: Adaptive gain and optimal performance. Annual Review of Neuroscience 28:403–50. http://doi.org/10.1146/annurev.neuro.28.061604.135709.CrossRefGoogle ScholarPubMed
Devilbiss, D. M. & Waterhouse, B. D. (2000) Norepinephrine exhibits two distinct profiles of action on sensory cortical neuron responses to excitatory synaptic stimuli. Synapse 37(4):273–82.Google Scholar
Eldar, E. (2014) Focus versus breadth: The effects of neural gain on information processing. Doctoral dissertation, Princeton University.Google Scholar
Eldar, E., Cohen, J. D. & Niv, Y. (2013) The effects of neural gain on attention and learning. Nature Neuroscience 16(8):1146–53.CrossRefGoogle ScholarPubMed
Eldar, E., Niv, Y. & Cohen, J. D. (in press) Do you see the forest or the tree? Neural gain and breadth versus focus in perceptual processing. Psychological Science.Google Scholar
Marrocco, R. T., Lane, R. F., McClurkin, J. W., Blaha, C. D. & Alkire, M. F. (1987) Release of cortical catecholamines by visual stimulation requires activity in thalamocortical afferents of monkey and cat. The Journal of Neuroscience 7:2756–67.Google Scholar
Moises, H. C., Woodward, D. J., Hoffer, B. J. & Freedman, R. (1979) Interactions of norepinephrine with Purkinje cell responses to putative amino acid neurotransmitters applied by microiontophoresis. Experimental Neurology 64:493–515.CrossRefGoogle ScholarPubMed
Servan-Schreiber, D., Printz, H. & Cohen, J. D. (1990) A network model of catecholamine effects: Gain, signal-to-noise ratio, and behavior. Science 249(4971):892–95.Google Scholar
Usher, M., Cohen, J. D., Servan-Schreiber, D., Rajkowski, J. & Aston-Jones, G. (1999) The role of locus coeruleus in the regulation of cognitive performance. Science 283(5401):549–54.Google Scholar
Waterhouse, B. D. & Woodward, D. J. (1980) Interaction of norepinephrine with cerebrocortical activity evoked by stimulation of somatosensory afferent pathways in the rat. Experimental Neurology 67(1):11–34. Available at: http://dx.doi.org/10.1016/0014-4886(80)90159-4.Google Scholar