Results 111 to 120 of about 1,092,184 (348)
Contributions of synaptic filters to models of synaptically stored memory
, 2013 The question of how neural systems encode memories in one-shot without immediately disrupting previously stored information has puzzled theoretical neuroscientists for years and it is the central topic of this thesis.
Lagogiannis, Konstantinos
core +1 more source
Regulation of synaptic connectivity: levels of fasciclin II influence synaptic growth in the Drosophila CNS [PDF]
, 2002 Much of our understanding of synaptogenesis comes from studies that deal with the development of the neuromuscular junction (NMJ). Although well studied, it is not clear how far the NMJ represents an adequate model for the formation of synapses within ...
Baines, Richard A.; id_orcid +5 more
core
A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory [PDF]
, 2003 Chicca E, Badoni D, Dante V, et al. A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks.
Fusi, S. +7 more
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Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing
Advanced Functional Materials, EarlyView.A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee +10 more
wiley +1 more source
The roles of STP and LTP in synaptic encoding [PDF]
PeerJ, 2013 Long-term potentiation (LTP), a cellular model of learning and memory, is generally regarded as a unitary phenomenon that alters the strength of synaptic transmission by increasing the postsynaptic response to the release of a quantum of neurotransmitter.
Arturas Volianskis +2 more
doaj +2 more sources
Current Opinion in Neurobiology, 2019 Synaptic plasticity is the cellular basis of learning and memory, but to what extent this holds for the adult human brain is not known. To study synaptic plasticity in human neuronal circuits poses a huge challenge, since live human neurons and synapses ...
H. Mansvelder +2 more
semanticscholar +1 more source
Structure-function analysis on the level of individual synapses [PDF]
, 2010 Excitatory synapses in the mammalian brain are made on small protrusions of the postsynaptic cell called dendritic spines. Dendritic spines are highly variable in their morphology and in their microanatomy (e.g. presence of subsynaptic organelles). It is
Holbro, Niklaus
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Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
Advanced Functional Materials, EarlyView.A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Unbiased choice of global clustering parameters for single-molecule localization microscopy
Scientific Reports, 2022 Single-molecule localization microscopy resolves objects below the diffraction limit of light via sparse, stochastic detection of target molecules. Single molecules appear as clustered detection events after image reconstruction.
Pietro Verzelli +5 more
doaj +1 more source
Neural Computation, 2017 To efficiently learn from feedback, cortical networks need to update synaptic weights on multiple levels of cortical hierarchy. An effective and well-known algorithm for computing such changes in synaptic weights is the error backpropagation algorithm ...
James C. R. Whittington, R. Bogacz
semanticscholar +1 more source