Internal models for visual perception
Abstract
Although the extrapolation of past perceptual history into the immediate and distant future is a fundamental phenomenon in everyday life, the underlying processing mechanisms are not well understood. A network model consisting of interacting excitatory and inhibitory cell populations coding for stimulus position is used to study the neuronal population response to a continuously moving stimulus. An adaptation mechanism is proposed that offers the possibility to control and modulate motion-induced extrapolation without changing the spatial interaction structure within the network. Using an occluder paradigm, functional advantages of an internally generated model of a moving stimulus are discussed. It is shown that the integration of such a model in processing leads to a faster and more reliable recognition of the input stream and allows for object permanence following occlusion. The modeling results are discussed in relation to recent experimental findings that show motion-induced extrapolation.
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The optimal way to account for the discrepancy between coarse and precise feedback is by assuming an architecture that combines coarse feedback with the lateral spread of feedforward signals.
“The optimal way to account for this discrepancy is by assuming an architecture that combines coarse feedback with the lateral spread of feedforward signals (Erlhagen 2003).”
From Whatever next? Predictive brains, situated agents, and the future of cognitive science (2013) · cites this paper as Erlhagen 2003
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References 30 · Cited by 60
- Authors
- Erlhagen, W.
- Affiliations
- University of Minho (PT)
- Corresponding author
- Erlhagen, Wolfram
- ORCID
- Erlhagen, Wolfram
- Venue
- Biological Cybernetics
- Published
- 2003-05-01
- Volume
- 88
- Issue
- 5
- Pages
- 409-417
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2009193140
- Cited by
- 60
- References
- 30
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 4 · 2017: 1 · 2016: 2 · 2014: 2 · 2013: 6 · 2012: 2
- FWCI
- 1.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Biological Cybernetics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- internal models, visual perception, adaptive mechanisms, occlusion, object permanence, perceptual history
- MeSH terms
- Neurons, Visual Cortex, Visual Perception, Neural Networks, Computer
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