Publication: Computation in cynamically bounded asymmetric systems
Computation in cynamically bounded asymmetric systems
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Rutishauser, U., Slotine, J.-J., & Douglas, R. (2015). Computation in cynamically bounded asymmetric systems. PLoS Computational Biology, 11(1), e1004039. https://doi.org/10.1371/journal.pcbi.1004039
Abstract
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Abstract
Previous explanations of computations performed by recurrent networks have focused on symmetrically connected saturating neurons and their convergence toward attractors. Here we analyze the behavior of asymmetrical connected networks of linear threshold neurons, whose positive response is unbounded. We show that, for a wide range of parameters, this asymmetry brings interesting and computationally useful dynamical properties. When driven by input, the network explores potential solutions through highly unstable ‘expansion’ dynamics. T
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- Rutishauser, Ueli
- Slotine, Jean-Jaques
- Douglas, Rodney
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Citations
Rutishauser, U., Slotine, J.-J., & Douglas, R. (2015). Computation in cynamically bounded asymmetric systems. PLoS Computational Biology, 11(1), e1004039. https://doi.org/10.1371/journal.pcbi.1004039
