Results 111 to 120 of about 15,121 (239)

Probabilistic Metaplasticity for Continual Learning with Memristors [PDF]

arXiv
Edge devices operating in dynamic environments critically need the ability to continually learn without catastrophic forgetting. The strict resource constraints in these devices pose a major challenge to achieve this, as continual learning entails memory and computational overhead.
arxiv  

CDX1 protein expression in normal, metaplastic, and neoplastic human alimentary tract epithelium [PDF]

, 1997
DG Silberg, E E Furth, JK Taylor, Theresa Schuck, Terry Ting-Yu Chiou, P.G. Traber   +5 more
openalex   +1 more source

Small cell carcinoma of the gall‐bladder with intestinal metaplastic epithelium [PDF]

, 1998
Hiroko Kuwabara, Hirotsugu Uda
openalex   +1 more source

Metaplastic (hyperplastic) polyps of the large bowel: benign neoplasms after all? [PDF]

, 1997
Gareth Williams
openalex   +1 more source

Possible Modulation of the Amygdala on Metaplasticity Deficits in the Hippocampal CA1 Field in Early Postnatally Stressed Rats

Journal of Pharmacological Sciences, 2012
Several lines of evidence have shown that early life experiences have a profound impact on fear-related behavior, but the detailed mechanisms are unknown.
Sachiko Hiraide, Yasuhiro Saito, Machiko Matsumoto, Yoshiki Yanagawa, Shuhei Ishikawa, Yasunori Kubo, Sumitaka Inoue, Mitsuhiro Yoshioka, Hiroko Togashi   +8 more
doaj  

Neuromimetic metaplasticity for adaptive continual learning [PDF]

arXiv
Conventional intelligent systems based on deep neural network (DNN) models encounter challenges in achieving human-like continual learning due to catastrophic forgetting. Here, we propose a metaplasticity model inspired by human working memory, enabling DNNs to perform catastrophic forgetting-free continual learning without any pre- or post-processing.
arxiv  

Metaplasticity of Mossy Fiber Synaptic Transmission Involves Altered Release Probability [PDF]

, 2000
Ivan Goussakov, Klaus Fink, Christian E. Elger, Heinz Beck   +3 more
openalex   +1 more source

Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks [PDF]

arXiv
The ability to learn continuously in artificial neural networks (ANNs) is often limited by catastrophic forgetting, a phenomenon in which new knowledge becomes dominant. By taking mechanisms of memory encoding in neuroscience (aka. engrams) as inspiration, we propose a novel approach that integrates stochastically-activated engrams as a gating ...
arxiv  

Competitive Perceptrons: The Relevance of Modeling New Bioinspired Properties Such as Intrinsic Plasticity, Metaplasticity, and Lateral Inhibition of Rate-Coding Artificial Neurons. [PDF]

Biomimetics (Basel), 2023
Andina D.
europepmc   +1 more source

Homeostatic plasticity in patients with disorders of consciousness detected by combined stimulation: a study protocol

Frontiers in Neurology
BackgroundNon-invasive neuromodulation (NIN) techniques have been widely utilized in treating patients with disorders of consciousness (DoC), but their therapeutic effects have been inconsistent.
Jingwen Wang, Jingwen Wang, Fangfang Shou, Qiuyi Yu, Xulan Lu, Yuwen Wan, Yuwen Wan, Wangshan Huang, Nantu Hu, Zhenyi Jin, Xinru Shan, Steven Laureys, Steven Laureys, Haibo Di   +13 more
doaj   +1 more source