Analysis of an attractor neural network's response to conflicting external inputs
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Publication:723699
DOI10.1186/s13408-018-0061-0zbMath1395.92039OpenAlexW2806021747WikidataQ55283722 ScholiaQ55283722MaRDI QIDQ723699
Kechen Zhang, Kathryn R. Hedrick
Publication date: 24 July 2018
Published in: The Journal of Mathematical Neuroscience (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13408-018-0061-0
Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Dynamical aspects of attractors and their bifurcations (37G35)
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Cites Work
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- Mathematical foundations of neuroscience
- Dynamics of pattern formation in lateral-inhibition type neural fields
- Encoding certainty in bump attractors
- Self-organising continuous attractor networks with multiple activity packets, and the representation of space
- Local/Global Analysis of the Stationary Solutions of Some Neural Field Equations
- Modeling Brain Function
- Computational differences between asymmetrical and symmetrical networks
- Neurons with graded response have collective computational properties like those of two-state neurons.
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