Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sina Khajehabdollahi"'
Autor:
Nicholas J.M. Popiel, Sina Khajehabdollahi, Pubuditha M. Abeyasinghe, Francesco Riganello, Emily S. Nichols, Adrian M. Owen, Andrea Soddu
Publikováno v:
Entropy, Vol 22, Iss 3, p 339 (2020)
Integrated Information Theory (IIT) posits that integrated information ( Φ ) represents the quantity of a conscious experience. Here, the generalized Ising model was used to calculate Φ as a function of temperature in toy models of fully connected
Externí odkaz:
https://doaj.org/article/a05a6541623a49ab973e6f46488ca4c1
Autor:
Sina Khajehabdollahi, Olaf Witkowski
Publikováno v:
Artificial Life. 26:112-129
Criticality is thought to be crucial for complex systems to adapt at the boundary between regimes with different dynamics, where the system may transition from one phase to another. Numerous systems, from sandpiles to gene regulatory networks to swar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::924ed6451fba34e23c63eddfe821be93
https://doi.org/10.1162/artl_a_00309
https://doi.org/10.1162/artl_a_00309
Publikováno v:
Artificial Life Conference Proceedings
Reservoir computing is a powerful computational framework that is particularly successful in time-series prediction tasks. It utilises a brain-inspired recurrent neural network and allows biologically plausible learning without backpropagation. Reser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81ab0a4b99ec63dc833eccbd9398fe70
https://hdl.handle.net/21.11116/0000-0008-EB91-B
https://hdl.handle.net/21.11116/0000-0008-EB91-B
Publikováno v:
Artificial Life Conference Proceedings
It has long been hypothesized that operating close to the critical state is beneficial for natural and artificial systems. We test this hypothesis by evolving foraging agents controlled by neural networks that can change the system's dynamical regime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2625d61051685bb0df02159e47372cf
Autor:
Emily S. Nichols, Pubuditha M. Abeyasinghe, Adrian M. Owen, Andrea Soddu, Sina Khajehabdollahi, Francesco Riganello, Nicholas J M Popiel
Publikováno v:
Entropy, Vol 22, Iss 3, p 339 (2020)
Entropy
Volume 22
Issue 3
BrainsCAN Publications
Entropy
Volume 22
Issue 3
BrainsCAN Publications
Integrated Information Theory (IIT) posits that integrated information ( &Phi
) represents the quantity of a conscious experience. Here, the generalized Ising model was used to calculate &Phi
as a function of temperature in toy models of fu
) represents the quantity of a conscious experience. Here, the generalized Ising model was used to calculate &Phi
as a function of temperature in toy models of fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8323c61420006777392ae415dc189e7b
https://www.mdpi.com/1099-4300/22/3/339
https://www.mdpi.com/1099-4300/22/3/339
Autor:
Andrea Soddu, Sina Khajehabdollahi, Adrian M. Owen, Sree Ram Valluri, Demetrius Ribeiro de Paula, Pubuditha M. Abeyasinghe
Publikováno v:
BrainsCAN Publications
© Pubuditha M. Abeyasinghe et al. 2018. There is accumulating evidence that spontaneous fluctuations of the brain are sustained by a structural architecture of axonal fiber bundles. Various models have been used to investigate this structure-functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06adbe34baad144f1c357a324a949d4
https://doi.org/10.1089/brain.2017.0516
https://doi.org/10.1089/brain.2017.0516
Publikováno v:
2019 IEEE Symposium Series on Computational Intelligence (SSCI)
Can we generate abstract aesthetic images without bias from natural or human selected image corpi? Are aesthetic images singled out in their correlation functions? In this paper we give answers to these and more questions. We generate images using co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3de09b6505e4907545dc70af9e4c1c02
https://doi.org/10.1109/ssci44817.2019.9002779
https://doi.org/10.1109/ssci44817.2019.9002779
Using the critical Ising model of the brain, integrated information as a measure of consciousness is measured in toy models of generic neural networks. Monte Carlo simulations are run on 159 random weighted networks analogous to small 5-node neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d311164e8c981594e5fdcdb626a7bba1
Autor:
Sina Khajehabdollahi, Olaf Witkowski
Publikováno v:
The 2018 Conference on Artificial Life.
Criticality is thought to be crucial for complex systems to adapt, at the boundary between regimes with different dynamics, where the system may transition from one phase to another. Numerous syste...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50c3075fea87ec66db6a9b05a7189c4d
https://doi.org/10.1162/isal_a_00015
https://doi.org/10.1162/isal_a_00015