Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Forough Habibollahi"'
Publikováno v:
Communications Engineering, Vol 2, Iss 1, Pp 1-11 (2023)
Abstract The hippocampus is a complex structure that has a major role in learning and memory. It also integrates information from multisensory modalities, supporting a comprehensive cognitive map for both spatial and non-spatial information. Previous
Externí odkaz:
https://doaj.org/article/d20ccedd6a8a47a0942c1a5d1efaab06
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Understanding how brains process information is an incredibly difficult task. Amongst the metrics characterising information processing in the brain, observations of dynamic near-critical states have generated significant interest. However,
Externí odkaz:
https://doaj.org/article/4516dec4525b4b119a4fbff67b08e4eb
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Gamma and theta oscillations have been functionally associated with cognitive processes, such as learning and memory. Synaptic conductances play an important role in the generation of intrinsic network rhythmicity, but few studies have examined the e
Externí odkaz:
https://doaj.org/article/10cabb0dfd93464d826b02bfcba9eadd
Publikováno v:
Brain Sciences, Vol 7, Iss 8, p 109 (2017)
Alzheimer’s disease (AD) is currently ranked as the sixth leading cause of death in the United States and recent estimates indicate that the disorder may rank third, just behind heart disease and cancer, as a cause of death for older people. Clearl
Externí odkaz:
https://doaj.org/article/b8628ca670684194980181f0dfd0e3e3
Autor:
Brett J. Kagan, Adeel Razi, Anjali Bhat, Andy C. Kitchen, Nhi T. Tran, Forough Habibollahi, Moein Khajehnejad, Bradyn J. Parker, Ben Rollo, Karl J. Friston
Publikováno v:
Neuron. 111:606-607
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6aa5b54bedbcf2ea57f664c63f8f741
https://doi.org/10.1016/j.neuron.2023.02.008
https://doi.org/10.1016/j.neuron.2023.02.008
Amongst the characteristics about information processing in the brain, observations of dynamic near-critical states have generated significant interest. However, theoretical and experimental limitations have precluded a definite answer about when and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeaaf37bd72d5df3974a615882ea500f
https://doi.org/10.1101/2022.11.03.514955
https://doi.org/10.1101/2022.11.03.514955
Autor:
Moein Khajehnejad, Forough Habibollahi, Richard Nock, Ehsan Arabzadeh, Peter Dayan, Amir Dezfouli
Publikováno v:
International Conference on Machine Learning, 17-23 July 2022, Baltimore, Maryland, USA
PMLR Proceedings of Machine Learning Research
PMLR Proceedings of Machine Learning Research
One of the most important and challenging application areas for complex machine learning methods is to predict, characterize and model rich, multi-dimensional, neural data. Recent advances in neural recording techniques have made it possible to monit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1076c125e9847f22f2b8fc7eeec59a5
https://hdl.handle.net/21.11116/0000-0006-DA83-0
https://hdl.handle.net/21.11116/0000-0006-DA83-0
Autor:
Dechuan Sun, Forough Habibollahi Saatlou, Yang Yu, Ranjith Rajasekharan Unnithan, Chris French
The hippocampus has been proposed to integrate information from multiple sensory modalities, supporting a comprehensive “cognitive map” for both spatial and non-spatial information. Previous studies have demonstrated decoding of hippocampal spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76ac193ee72f52b352e957210c607dfc
https://doi.org/10.1101/2022.04.26.489497
https://doi.org/10.1101/2022.04.26.489497
Autor:
Brett J. Kagan, Andy C. Kitchen, Nhi T. Tran, Forough Habibollahi, Moein Khajehnejad, Bradyn J. Parker, Anjali Bhat, Ben Rollo, Adeel Razi, Karl J. Friston
Publikováno v:
Neuron
Neuron, 2022, 110 (23), pp.3952-3969.e8. ⟨10.1016/j.neuron.2022.09.001⟩
Neuron, 2022, 110 (23), pp.3952-3969.e8. ⟨10.1016/j.neuron.2022.09.001⟩
Integrating neurons into digital systems may enable performance infeasible with silicon alone. Here, we develop DishBrain, a system that harnesses the inherent adaptive computation of neurons in a structured environment. In vitro neural networks from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5802bd3d4c60d9554ac1d3d4adce2fa
https://pubmed.ncbi.nlm.nih.gov/36224373
https://pubmed.ncbi.nlm.nih.gov/36224373
Autor:
Moein Khajehnejad, Forough Habibollahi
Publikováno v:
Network Science ISBN: 9783030972394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a98e34d0a044a37fbcab2a99289cbaf
https://doi.org/10.1007/978-3-030-97240-0_8
https://doi.org/10.1007/978-3-030-97240-0_8