Zobrazeno 1 - 10
of 2 068
pro vyhledávání: '"Hebbian learning"'
Publikováno v:
Kybernetes, 2023, Vol. 53, Issue 10, pp. 3685-3706.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-01-2023-0104
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Networks of interconnected neurons communicating through spiking signals offer the bedrock of neural computations. Our brain’s spiking neural networks have the computational capacity to achieve complex pattern recognition and cognitive functions ef
Externí odkaz:
https://doaj.org/article/20a0669079014af5aae0ef1063c7fd5d
Autor:
Maxwell Gillett, Nicolas Brunel
Publikováno v:
eLife, Vol 12 (2024)
Temporal rescaling of sequential neural activity has been observed in multiple brain areas during behaviors involving time estimation and motor execution at variable speeds. Temporally asymmetric Hebbian rules have been used in network models to lear
Externí odkaz:
https://doaj.org/article/311567dfc66448c39955aacb100427c2
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102738- (2024)
Sharing medical images securely is very important towards keeping patients’ data confidential. In this paper we propose MANC: a Masked Autoencoder Neural Cryptography based encryption scheme for sharing medical images. The proposed technique bui
Externí odkaz:
https://doaj.org/article/36da8ddf7cd44dac93ce1603e178c9d2
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
Predictive coding (PC) is an influential theory in neuroscience, which suggests the existence of a cortical architecture that is constantly generating and updating predictive representations of sensory inputs. Owing to its hierarchical and generative
Externí odkaz:
https://doaj.org/article/713c72276f8d44a08c5cc98cca48e404
Autor:
Sheng Miao, Lawrence Fourgeaud, Patrick G. Burrola, Shani Stern, Yuhan Zhang, Kaisa E. Happonen, Sammy Weiser Novak, Fred H. Gage, Greg Lemke
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
The receptor tyrosine kinase Tyro3 is abundantly expressed in neurons of the neocortex, hippocampus, and striatum, but its role in these cells is unknown. We found that neuronal expression of this receptor was markedly up-regulated in the postnatal m
Externí odkaz:
https://doaj.org/article/9dfa132aca1f49d292b45beb70f65c78
Publikováno v:
Communicative & Integrative Biology, Vol 16, Iss 1 (2023)
ABSTRACTSince humans still outperform artificial neural networks on many tasks, drawing inspiration from the brain may help to improve current machine learning algorithms. Contrastive Hebbian learning (CHL) and equilibrium propagation (EP) are biolog
Externí odkaz:
https://doaj.org/article/56f5c9700ddc4fca90c6f0a9eca323cb
Autor:
Matthew Weightman, Neeraj Lalji, Chin-Hsuan Sophie Lin, Joseph M. Galea, Ned Jenkinson, R. Chris Miall
Publikováno v:
Brain Stimulation, Vol 16, Iss 2, Pp 431-441 (2023)
Background: Transcranial direct current stimulation (TDCS) is typically applied before or during a task, for periods ranging from 5 to 30 min. Hypothesis: We hypothesise that briefer stimulation epochs synchronous with individual task actions may be
Externí odkaz:
https://doaj.org/article/445281ea69734686ac869642660c53df
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 4, p 044005 (2024)
Designing algorithms for versatile AI hardware that can learn on the edge using both labeled and unlabeled data is challenging. Deep end-to-end training methods incorporating phases of self-supervised and supervised learning are accurate and adaptabl
Externí odkaz:
https://doaj.org/article/04ec57df299f472d84e7fde898da8da5
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