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Small modulation of ongoing cortical dynamics by sensory input during natural vision.
Abstract
During vision, it is believed that neural activity in the primary visual cortex is predominantly driven by sensory input from the environment. However, visual cortical neurons respond to repeated presentations of the same stimulus with a high degree of variability. Although this variability has been considered to be noise owing to random spontaneous activity within the cortex, recent studies show that spontaneous activity has a highly coherent spatio-temporal structure. This raises the possibility that the pattern of this spontaneous activity may shape neural responses during natural viewing conditions to a larger extent than previously thought. Here, we examine the relationship between spontaneous activity and the response of primary visual cortical neurons to dynamic natural-scene and random-noise film images in awake, freely viewing ferrets from the time of eye opening to maturity. The correspondence between evoked neural activity and the structure of the input signal was weak in young animals, but systematically improved with age. This improvement was linked to a shift in the dynamics of spontaneous activity. At all ages including the mature animal, correlations in spontaneous neural firing were only slightly modified by visual stimulation, irrespective of the sensory input. These results suggest that in both the developing and mature visual cortex, sensory evoked neural activity represents the modulation and triggering of ongoing circuit dynamics by input signals, rather than directly reflecting the structure of the input signal itself.
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“several experimental studies arrive at the conclusion that external stimuli only modulate the highly stochastic spontaneous firing activity of cortical networks of neurons [7], [8].”
From Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons (2011) · cites this paper as [7]
In the citing paper
“This alternative perspective suggests that the brain is active even in the absence of task, primarily driven by internal dynamics, with external events modulating rather than determining the activity of the system (24)(25)(26)(27)(28).”
From Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems (2006) · cites this paper as [25]
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Metadata
- Authors
- Fiser, J., Chiu, C., & Weliky, M.
- Affiliations
- University of Rochester (US)
- Corresponding author
- Weliky, Michael
- Venue
- Nature
- Published
- 2004-09
- Volume
- 431
- Issue
- 7008
- Pages
- 573-578
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2107313868
- Cited by
- 423
- References
- 27
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 11 · 2023: 9 · 2022: 14 · 2021: 18 · 2020: 20 · 2019: 34 · 2018: 16 · 2017: 19 · 2016: 23 · 2015: 29 · 2014: 14 · 2013: 31 · 2012: 19
- FWCI
- 10.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- National Institutes of Health
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- spontaneous neuronal activity, primary visual cortex, sensory evoked potentials, natural images, cortical dynamics, visual development, ferrets, neural variability, visual cortex maturation
- MeSH terms
- Action Potentials, Aging, Animals, Evoked Potentials, Visual, Ferrets, Neurons, Photic Stimulation, Saccades, Visual Cortex, Visual Perception
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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