Conserving synaptic weight
نویسندگان
چکیده
منابع مشابه
Conserving synaptic weight
roduction of reactive oxygen species (ROS) by an NADPH oxidase induces a calcium channel to open and root hair elongation to occur, according to a report from Starting with the rhd2 Arabidopsis mutant, which has stunted root growth and very short root hairs, the authors used transposon-tagging methods to identify the RHD2/AtrbohC gene, which encodes an NADPH oxidase that produces ROS. " When we...
متن کاملSynaptic Weight Modulation and Adaptation
A “weight” in an artificial neuron model is meant to be a representation of the amount of effect that a synaptic input has on the overall response of the neuron. The neuron that generates the synaptic input (the “action potential” or AP) is called the “presynaptic neuron”; the neuron receiving the effect of the action potential is called the “postsynaptic neuron”. The synapse is the biological ...
متن کاملWeight-conserving characterization of complex functional brain networks
Complex functional brain networks are large networks of brain regions and functional brain connections. Statistical characterizations of these networks aim to quantify global and local properties of brain activity with a small number of network measures. Important functional network measures include measures of modularity (measures of the goodness with which a network is optimally partitioned i...
متن کاملWhat can we learn from synaptic weight distributions?
Much research effort into synaptic plasticity has been motivated by the idea that modifications of synaptic weights (or strengths or efficacies) underlie learning and memory. Here, we examine the possibility of exploiting the statistics of experimentally measured synaptic weights to deduce information about the learning process. Analysing distributions of synaptic weights requires a theoretical...
متن کاملSupervised Synaptic Weight Adaptation for a Spiking Neuron
A novel algorithm named Spike-LMS is described that adapts the synaptic weights of an artificial spiking neuron to produce a desired response. The derivation of Spike-LMS follows from the derivation of the Least-Mean Squares (LMS) algorithm used in adaptive filter theory. Spike-LMS works directly in the domain of spike trains, and therefore makes no assumptions about any particular neural encod...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Cell Biology
سال: 2003
ISSN: 1540-8140,0021-9525
DOI: 10.1083/jcb1612rr2