Results 91 to 100 of about 460,902 (390)
The Journal of Neuroscience, 1996 The strength of many synapses is modified by various use and time-dependent processes, including facilitation and depression. A general description of synaptic transfer characteristics must account for the history-dependence of synaptic efficacy and should be able to predict the postsynaptic response to any temporal pattern of presynaptic activity.
K, Sen +3 more
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Controlling chaos in diluted networks with continuous neurons
, 2000 Diluted neural networks with continuous neurons and nonmonotonic transfer function are studied, with both fixed and dynamic synapses. A noisy stimulus with periodic variance results in a mechanism for controlling chaos in neural systems with fixed ...
Caroppo D. +11 more
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Neuromorphic Learning towards Nano Second Precision [PDF]
, 2013 Temporal coding is one approach to representing information in spiking neural networks. An example of its application is the location of sounds by barn owls that requires especially precise temporal coding. Dependent upon the azimuthal angle, the arrival
Meier, Karlheinz +3 more
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Advanced Functional Materials, EarlyView.Janus (MoS2) transistors functionalized with sodium alginate (SA) and poly(vinylidene fluoride‐co‐trifluoroethylene) [P(VDF‐TrFE)] exhibit persistent photo‐induced ionic gating, driven by dynamic cation migration at the hybrid interface. This ionic mechanism enables finely tunable photoconductivity and emulates key synaptic plasticity behaviors ...
Yeonsu Jeong +5 more
wiley +1 more source
Frontiers in Neuroscience, 2015 Implementing compact, low-power artificial neural processing systems with real-time on-line learning abilities is still an open challenge. In this paper we present a full-custom mixed-signal VLSI device with neuromorphic learning circuits that emulate ...
Ning Qiao +6 more
semanticscholar +1 more source
Biochemistry and Molecular Biology Education, 2009 AbstractDiverse biological data may be used to create illustrations of molecules in their cellular context. I describe the scientific results that support a recent textbook illustration of the neuromuscular synapse. The image magnifies a portion of the synapse at one million times, showing the location and the form of individual macromolecules. Results
openaire +3 more sources
Annotating Synapses in Large EM Datasets [PDF]
, 2014 Reconstructing neuronal circuits at the level of synapses is a central problem in neuroscience and becoming a focus of the emerging field of connectomics.
Huang, Gary B. +5 more
core
Gauge Symmetry and Neural Networks
, 2001 We propose a new model of neural network. It consists of spin variables to describe the state of neurons as in the Hopfield model and new gauge variables to describe the state of synapses.
Matsui, Tetsuo
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Beta-rhythm oscillations and synchronization transition in network models of Izhikevich neurons: effect of topology and synaptic type [PDF]
, 2018 Despite their significant functional roles, beta-band oscillations are least understood. Synchronization in neuronal networks have attracted much attention in recent years with the main focus on transition type.
Khoshkhou, Mahsa, Montakhab, Afshin
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Advanced Functional Materials, EarlyView.Charge carrier concentration and mobility in TiO2, ZrO2, and HfO2 powder films are experimentally mapped as a function of temperature. The results uncover polaron‐mediated transport regimes and field‐activated conduction, enabling the design of oxide‐based electronic and energy devices with thermally tunable functionality.
Beatriz Moura Gomes +3 more
wiley +1 more source