Results 101 to 110 of about 15,121 (239)
Nanogenerator-induced synaptic plasticity and metaplasticity of bio-realistic artificial synapses
, 2017 A bio-realistic artificial synapse integrated with a nanogenerator (NG), which can be used in neuromorphic systems, is demonstrated for self-powered biomedical devices in this study.
Bo-Yun Kim +6 more
semanticscholar +1 more source
A metaplasticity view of the interaction between homeostatic and Hebbian plasticity
Philosophical Transactions of the Royal Society B: Biological Sciences, 2017 Hebbian and homeostatic plasticity are two major forms of plasticity in the nervous system: Hebbian plasticity provides a synaptic basis for associative learning, whereas homeostatic plasticity serves to stabilize network activity.
A. X. Yee, Y. Hsu, Lu Chen
semanticscholar +1 more source
Asia-Pacific Journal of Clinical Oncology, Volume 21, Issue 2, Page 150-155, April 2025.Metaplastic breast cancer is an aggressive subtype of breast cancer without clear surgical treatment guidelines. This systematic review and meta‐analysis showed no difference in overall survival between breast conservation and mastectomy, suggesting that both may be reasonable treatment approaches for this condition.
Christopher G Harris +6 more
wiley +1 more source
Structure and significance of metaplastic nodules in the rectal mucosa [PDF]
, 1968 J F Arthur
openalex +1 more source
Sparse distributed representation, hierarchy, critical periods, metaplasticity: the keys to lifelong fixed-time learning and best-match retrieval [PDF]
arXiv, 2018 Among the more important hallmarks of human intelligence, which any artificial general intelligence (AGI) should have, are the following. 1. It must be capable of on-line learning, including with single/few trials. 2. Memories/knowledge must be permanent over lifelong durations, safe from catastrophic forgetting.
arxiv
Computational principles of biological memory [PDF]
arXiv, 2015 Memories are stored, retained, and recollected through complex, coupled processes operating on multiple timescales. To understand the computational principles behind these intricate networks of interactions we construct a broad class of synaptic models that efficiently harnesses biological complexity to preserve numerous memories.
arxiv
Frontiers in Psychology, 2015 Stress induces several temporally-guided waves of psychobiological responses that differentially influence learning and memory. One way to understand how the temporal dynamics of stress influence these cognitive processes is to consider stress, itself ...
Chelsea E Cadle, Phillip R Zoladz
doaj +1 more source
Frontiers in Neural Circuits, 2013 Neuromodulators alter network output and have the potential to destabilize a circuit. The mechanisms maintaining stability in the face of neuromodulation are not well described.
Wulf-Dieter Christian Krenz +5 more
doaj +1 more source
Synaptic Plasticity, Metaplasticity and Depression
Current Neuropharmacology, 2016 The development of a persistent depressive affective state has for some time been thought to result from persistent alterations in neurotransmitter-mediated synaptic transmission.
Linnea R. Vose, P. Stanton
semanticscholar +1 more source
Superconducting Optoelectronic Neurons III: Synaptic Plasticity [PDF]
arXiv, 2018 As a means of dynamically reconfiguring the synaptic weight of a superconducting optoelectronic loop neuron, a superconducting flux storage loop is inductively coupled to the synaptic current bias of the neuron. A standard flux memory cell is used to achieve a binary synapse, and loops capable of storing many flux quanta are used to enact multi-stable ...
arxiv