Learning short synfire chains by self-organization
نویسندگان
چکیده
منابع مشابه
A Learning Algorithm for Synfire Chains
Neu robiological studies ind icate very p recise tempo ral behavior of neuron firings. Abeles [1] has recorded spik e timing of different co rtical cells and, in particular, has observed th e following level of precisio n: when a neuron A fires, neuron B w ould fire 15 1ms later an d neu ron C would fire p recisely 289 ms after that—with a precision across trials of 1 ms! Such lon g delays req ...
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We develop a model of cortical coding of stimuli by the sequences of activation patterns that they ignite in an initially random network. Hebbian learning then stabilizes these sequences, making them attractors of the dynamics. There is a competition between the capacity of the network and the stability of the sequences; for small stability parameter epsilon (the strength of the mean stabilizin...
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Coherent neural spiking and local field potentials are believed to be signatures of the binding and transfer of information in the brain. Coherent activity has now been measured experimentally in many regions of mammalian cortex. Recently experimental evidence has been presented suggesting that neural information is encoded and transferred in packets, i.e., in stereotypical, correlated spiking ...
متن کاملSynfire Chains and Catastrophic Interference
The brain must be capable of achieving extraordinarily precise sub-millisecond timing with imprecise neural hardware. We discuss how this might be possible using synfire chains (Abeles, 1991) and present a synfire chain learning algorithm for a sparsely-distributed network of spiking neurons (Sougné, 1999). Surprisingly, we show that this learning is not subject to catastrophic interference, a ...
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The rapidity of time-constrained visual identification suggests a feedforward process in which neural activity is propagated through a number of cortical stages. The process is modeled by using a synfire chain, leading to a neural-network model which involves propagating activation waves through a sequence of layers. Theory and analysis of the model's behavior, especially in the presence of noi...
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ژورنال
عنوان ژورنال: Network: Computation in Neural Systems
سال: 1996
ISSN: 0954-898X
DOI: 10.1088/0954-898x/7/2/017