Reentry in Computational Neural Networks
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I'm interested in finding an analogue of neurobiological reentrant systems in computational neural networks. It has been found that certain pathways of the brain synapse on earlier regions in the pathway, and there are implications for functionality, learning, cortical organization, and more (Hoshi et al. 2005, Edelman and Gally 2013). Of course, it almost seems natural and intuitive that the brain would connect pathways back on themselves to perform corrections and error minimization.
Based on this intuition, I would have guessed that I could easily find examples of reentry in computational networks. There must be another name for such behavior that I'm missing. I'd like to hear more about work in this area, or if it doesn't exist, why?
I could imagine parallels being drawn between reentry and RNNs or GANs, although any variety of those aren't necessarily what I'm thinking of in terms of reentry.
neural-network
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I'm interested in finding an analogue of neurobiological reentrant systems in computational neural networks. It has been found that certain pathways of the brain synapse on earlier regions in the pathway, and there are implications for functionality, learning, cortical organization, and more (Hoshi et al. 2005, Edelman and Gally 2013). Of course, it almost seems natural and intuitive that the brain would connect pathways back on themselves to perform corrections and error minimization.
Based on this intuition, I would have guessed that I could easily find examples of reentry in computational networks. There must be another name for such behavior that I'm missing. I'd like to hear more about work in this area, or if it doesn't exist, why?
I could imagine parallels being drawn between reentry and RNNs or GANs, although any variety of those aren't necessarily what I'm thinking of in terms of reentry.
neural-network
$endgroup$
add a comment |
$begingroup$
I'm interested in finding an analogue of neurobiological reentrant systems in computational neural networks. It has been found that certain pathways of the brain synapse on earlier regions in the pathway, and there are implications for functionality, learning, cortical organization, and more (Hoshi et al. 2005, Edelman and Gally 2013). Of course, it almost seems natural and intuitive that the brain would connect pathways back on themselves to perform corrections and error minimization.
Based on this intuition, I would have guessed that I could easily find examples of reentry in computational networks. There must be another name for such behavior that I'm missing. I'd like to hear more about work in this area, or if it doesn't exist, why?
I could imagine parallels being drawn between reentry and RNNs or GANs, although any variety of those aren't necessarily what I'm thinking of in terms of reentry.
neural-network
$endgroup$
I'm interested in finding an analogue of neurobiological reentrant systems in computational neural networks. It has been found that certain pathways of the brain synapse on earlier regions in the pathway, and there are implications for functionality, learning, cortical organization, and more (Hoshi et al. 2005, Edelman and Gally 2013). Of course, it almost seems natural and intuitive that the brain would connect pathways back on themselves to perform corrections and error minimization.
Based on this intuition, I would have guessed that I could easily find examples of reentry in computational networks. There must be another name for such behavior that I'm missing. I'd like to hear more about work in this area, or if it doesn't exist, why?
I could imagine parallels being drawn between reentry and RNNs or GANs, although any variety of those aren't necessarily what I'm thinking of in terms of reentry.
neural-network
neural-network
asked 5 hours ago
Alex LAlex L
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