John H. Reynolds
BS Economics, University of Pennsylvania
PhD Cognitive and Neural Systems, Boston University
Intramural research fellow, Laboratory of Neuropsychology, National Institute of Mental Health
The long-range goal of our laboratory is to understand the neural mechanisms of selective visual attention at the level of the individual neuron and the cortical circuit, and to relate these to perception and conscious awareness. We take as our starting point the observation that the brain is limited in the amount of visual information it can process at any moment in time. For instance, when people are asked to identify the objects in a briefly presented scene, they become less accurate as the number of objects increases. This inability to process more than a few objects at a time reflects the limited capacity of some stage (or stages) of sensory processing, decision-making, or behavioral control. Somewhere between stimulating the retina and generating a behavioral response, objects compete with one another to pass through this computational bottleneck. We seek to understand this selection process using a combination of visual psychophysics, neurophysiology, and computational neural modeling.
"The long-range goal of our laboratory is twofold–to understand the fundamental nature
of the computations that are carried out by the neocortex and to understand how and why these computations fail
in brain disease."
Evolution has endowed our brains with a
system of neural mechanisms whose function
is to choose which information will be
selected to guide our behavioral decisions.
When this system fails, as in disorders
such as schizophrenia, Alzheimer's disease
and attention deficit hyperactivity disorder
(ADHD), the effects on the quality of life can
be devastating. Reynolds's team is working to
decipher the neural mechanisms of attention,
which are key to understanding and
treating brain diseases in which the attention
At any point in time, our brains are able to
process only a small fraction of the totality
of information available in the sensory environment.
Even if we wanted to pay attention
to many things at once, there are limits on
how many stimuli we can juggle simultaneously.
What's more, only a small fraction of
available sensory information is needed to
make effective behavioral decisions, and the
information that is needed changes from
moment to moment, depending on our needs
and the risks and possibilities presented by
our ever-changing environment. The attentional
system thus plays the critical role
of "perceptual gatekeeper," selecting task relevant
information for processing while
keeping distracting information from entering
Reynolds's team has found that when attention
is directed toward a stimulus, attentional
control centers of the brain send signals that
tell the perceptual systems to favor certain
circuits over others. As a result, neurons
that convey information about an attended
stimulus are more active, while neurons
that would otherwise convey distracting
information are suppressed. They have also
recently discovered that attention reduces
the variability or "noise" in neuronal signals,
improving the quality of information about
the visual stimuli to which we attend.
They are now conducting experiments to understand
the neural mechanisms underlying
these attention-dependent changes in neural
signaling. To do this, they use a range of
techniques, including neurophysiology, neuroanatomy,
computational modeling, visual
psychophysics and cutting-edge optogenetic
techniques that enable the use of viruses
to change the DNA of neurons so that they
create proteins that act as light sensors.
This enables them to use light to alter the
activity of specific types of neurons and
understand their role in perception, attention
Awards and Honors
- Sloan Research Fellowship 2002 - 2004
- McKnight Scholar Award 2001 - 2003
- Frederick B. Rentschler Developmental Chair 2001 - 2002
Disney AA, Alasady HA and Reynolds JH (2014), Muscarinic acetylcholine receptors are expressed by most parvalbumin-immunoreactive neurons in area MT of the macaque, Brain and Behavior, doi: 10.1002/brb3.225. Download the article.
Mitchell JF, Reynolds JH and Miller CT (2014) Active Vision in Marmosets: A Model System for Visual Neuroscience, The Journal of Neuroscience, 34(4):1183-1194. Download the article.
Anderson EB, Mitchell JF and Reynolds JH (2013) Attention-dependent reductions in burstiness and action-potential height in macaque area V4, Nature Neuroscience, doi:10.1038/nn.3463. Download the article. | Download the supplemental material.
Disney AA, and Reynolds JH (2013) Expression of m1-type muscarinic acetylcholine receptors by parvalbumin-immunoreactive neurons in the primary visual cortex: A comparative study of rat, guinea pig, ferret, macaque, and human, Journal of Comparative Neurology, DOI 10.1002/cne.23456. Download the article.
Nandy AS, Sharpee TO, Reynolds JH, and Mitchell JF (2013) The Fine Structure of Shape Tuning in Area V4, Neuron, 78:1102-1115. Download the article.
Ruiz O, Lustig BR, Nassi JJ, Cetin AH, Reynolds JH, Albright TD, Callaway EM, Stoner GR and Roe AW (2013) Optogenetics through windows on the brain in the nonhuman primate, Journal of Neurophysiology, published ahead of print June 12, 2013, doi:10.1152/jn.00153.2013. Download the article.
Sundberg KA, Mitchell JF, Gawne TJ, and Reynolds JH (2012) Attention Influences Single Unit and Local Field Potential Response Latencies in Visual Cortical Area V4, The Journal of Neurosciences, 32(45):16040-16050. Download the article.
Fallah M, Reynolds JH (2012) Contrast Dependence of Smooth Pursuit Eye Movements following a Saccade to Superimposed Targets, PLoS ONE 7(5): e37888. View the article.
Ciaramitaro VM, Mitchell JF, Stoner GR, Reynolds JH, and Boynton GM (2011) Object-based attention to one of two superimposed surfaces alters responses in human early visual cortex, Journal of Neurophysiology, 105:1258-1265, 2011. Download the article.
Anderson EB, Mitchell JF, Reynolds JH (2011) Attentional Modulation of Firing Rate Varies with Burstiness across Putative Pyramidal Neurons in Macaque Visual Area V4, The Journal of Neuroscience, 31(30):10983-10992. Download the article.
Mitchell JF, Sundberg KA, and Reynolds JH (2009) Spatial Attention Decorrelates Intrinsic Activity Fluctuations in Macaque Area V4, Neuron, 63:879-888. Download the article. | Download the supplemental material.
Sundberg KA, Mitchell JF, and Reynolds JH (2009) Spatial Attention Modulates Center-Surround Interactions in Macaque Visual Area V4, Neuron, 61:952-963. Download the article. | Download the supplemental material.
Reynolds JH, Heeger DJ (2009) The normalization model of attention, Neuron, 61(2):168-85. Download the article. | Download the supplemental material.
Berdyyeva TK, Reynolds JH (2009) The Dawning of Primate Optogenetics, Neuron, 62:159-160. Download the preview.
Reynolds JH (2008) Three Hundred Million Years of Attentional Selection, Neuron, 60:528-529. Download the preview.
Reynolds JH (2008) Mapping the microcircuitry of attention, Nature Neuroscience, 11:861-862. Download the article.
Mitchell JF, Sundberg KA, Reynolds JH (2007) Differential Attention-Dependent Response Modulation across Cell Classes in Macaque Visual Area V4, Neuron, 55(1):131-41. Download the preview | Download the article. | Download the supplemental material.
Bodelon C, Fallah M, Reynolds JH. (2007) Temporal resolution for the perception of features and conjunctions, The Journal of Neuroscience, 27(4):725-30. Download the article.
Fallah M, Stoner GR, Reynolds JH (2007) Stimulus-specific competitive selection in macaque extrastriate visual area V4, Proceedings of the National Academy of Sciences, 104(10): 4165-4169. Download the article. | Download supplemental material.
Sundberg KA, Fallah M, Reynolds JH. (2006) A motion-dependent distortion of retinotopy in area V4, Neuron, 49(3):447-57. Download the preview | Download the article.
Stoner GR, Mitchell JF, Fallah M, Reynolds JH. (2005) Interacting competitive selection in attention and binocular rivalry, Prog Brain Res, 149:227-34. Download the article.
Khoe W, Mitchell JF, Reynolds JH, Hillyard SA. (2005) Exogenous attentional selection of transparent superimposed surfaces modulates early event-related potentials, Vision Res, 45(24):3004-14. Download the article.
Mitchell JF, Stoner GR, and Reynolds JH (2004) Object-Based Attention Determines Dominance in Binocular Rivalry, Nature, 429:410-413. Download the article.
Reynolds JH and Chelazzi L (2004) Attentional Modulation of Visual Processing, Annual Review of Neuroscience, 27:611-647. Download the article.
Reynolds JH and Fallah M (2004) The role of competitive circuits in extrastriate cortex in selecting spatially superimposed stimuli. Functional Neuroimaging of Visual Cognition Attention and Performance XX, Kanwisher N and Duncan J, Eds. Oxford University Press. 363-380.
Reynolds JH and Desimone R (2003) Interacting Roles of Attention and Visual Salience in V4, Neuron, 37(5):853-63. Download the article.
Mitchell JF, Stoner GR, Fallah M, and Reynolds J.H. (2003) Attentional selection of superimposed surfaces cannot be explained by modulation of the gain of color channels, Vision Research, 43(12):1323-8. Download the article.
Reynolds JH, Alborzian S, and Stoner GR (2003) Exogenously cued attention triggers competitive selection of surfaces, Vision Research, 43(1):59-66. Download the article.
Reynolds JH, Gottlieb JP, and Kastner S (2002) Attention, Fundamental Neuroscience Zigmond, Bloom, Landis, Roberts and Squire (Eds.), Academic Press.
Fallah M and Reynolds JH (2001) Attention! V1 neurons lining up for inspection, Neuron, 2001 31(5):674-5.
Fries P, Reynolds JH, Rorie AE, and Desimone R (2001) Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention, Science, 291: 1560-1563. Download the article.
Reynolds JH, Pasternak T, and Desimone R (2000) Attention Increases Sensitivity of V4 Neurons, Neuron, 26:703-714. Download the article.
Reynolds JH, and Desimone R (1999) The Role of Neural Mechanisms of Attention in Solving the Binding Problem, Neuron, 24:19-29. Download the article.
Reynolds JH, Chelazzi L, and Desimone R (1999) Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4, The Journal of Neuroscience, 19:1736-1753. Download the article.
Salk News Releases
- Scientists help explain visual system's remarkable ability to recognize complex objects, July 1, 2013
- Salk Institute promotes three top scientists, April 12, 2013
- Gatsby Charitable Foundation awards $4 million to Salk-UC San Diego consortium to study brain circuitry, March 22, 2010
- Rising above the din:
Attention makes sensory signals stand out amidst the background noise in the brain, September 23, 2009
- Visual attention: how the brain makes the most of the visible world, March 25, 2009
- From the corner of the eye: Paying attention to attention, July 5, 2007
- The time it takes to reassemble the world, January 24, 2007
- We live in the past and our brain makes up for it, February 1, 2006
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