Oscillations and Filtering Networks Support Flexible Routing of Information
Open accessAbstract
The mammalian brain exhibits profuse interregional connectivity. How information flow is rapidly and flexibly switched among connected areas remains poorly understood. Task-dependent changes in the power and interregion coherence of network oscillations suggest that such oscillations play a role in signal routing. We show that switching one of several convergent pathways from an asynchronous to an oscillatory state allows accurate selective transmission of population-coded information, which can be extracted even when other convergent pathways fire asynchronously at comparable rates. We further show that the band-pass filtering required to perform this information extraction can be implemented in a simple spiking network model with a single feed-forward interneuron layer. This constitutes a mechanism for flexible signal routing in neural circuits, which exploits sparsely synchronized network oscillations and temporal filtering by feed-forward inhibition.
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Akam & Kullmann demonstrated flexible signal routing in neural circuits by exploiting sparsely synchronized network oscillations and temporal filtering by feed-forward inhibition.
“Akam & Kullmann [66] demonstrate flexible signal routing in neural circuits, by exploiting sparsely synchronized network oscillations and temporal filtering by feed-forward inhibition.”
From Cerebral hierarchies: predictive processing, precision and the pulvinar (2015) · cites this paper as [66]
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“We previously developed a biophysical model [15], which exploits network resonance effects at the boundary between asynchronous and oscillating states [51] to selectively respond to inputs oscillating at a specific frequency.”
BackgroundMethodInfluentialSelf-citationOrduz, D., Bischop, D. P., Schwaller, B., Schiffmann, S. N., & Gall, D. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2012.250795 · Cited by 88 · see citing works
- Authors
- Akam, T., & Kullmann, D. M.
- Affiliations
- National Hospital for Neurology and Neurosurgery (GB)
- Corresponding author
- Akam, Thomas
- Kullmann, Dimitri M.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 67
- Issue
- 2
- Pages
- 308-320
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3125699
- OpenAlex
- W2148545198
- Cited by
- 245
- References
- 66
- Citations by year
- 2026: 5 · 2025: 15 · 2024: 12 · 2023: 5 · 2022: 19 · 2021: 13 · 2020: 21 · 2019: 21 · 2018: 16 · 2017: 19 · 2016: 14 · 2015: 19 · 2014: 19 · 2013: 18 · 2012: 13
- FWCI
- 8.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuron (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- neural oscillations, signal routing, interregional connectivity, population coding, bandpass filtering, feedforward inhibition, interneurons, spiking network model, temporal filtering, information extraction
- MeSH terms
- Action Potentials, Animals, Computer Simulation, Fourier Analysis, Humans, Models, Neurological, Nerve Net, Neural Inhibition, Neurons, Neural Networks, Computer
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