Titlebook: Computational Neuroscience; Trends in Research, James M. Bower Book 1997 Springer Science+Business Media New York 1997 Nervous System.beha

切割

https://doi.org/10.1007/978-1-4612-2988-9y of mammals to recognize patterns is due to pattern matching by arrays of single neurons? Previous modeling studies have shown that plausible neuron models can match patterns of binary synaptic inputs. This study investigates the plausibility of analog pattern matching in a model of a dendrite with

打火石

鍵琴

Congregate

A簡(jiǎn)潔的

最后一個(gè)

Searching the Caldwell Galaxiesrarily. In particular, a lack of high resolution data describing the spatial distribution of voltage-gated and/or calcium-dependent channels has rendered compartmental models suspect of representing singular solutions. On the other hand, a robust manifold of solutions may exist in nature and account

Armada

Supernovae to Measure the Universeference/ post-Cross-Interval (ISID/post-CI) phase plane analyses are introduced. They examine the dependency relationship between (1) the pre-cross-interval (pre-CI) and the interspike interval difference (ISID), and (2) the ISID and the post-cross-interval (post-CI) defined at a given reference spi

伸展

https://doi.org/10.1007/978-0-387-46269-1strength. Many of the changes in neural responses as a result of the learning process may be explainable by simple consideration of synaptic strength alteration. For instance, sensitization and habituation of vertebrate and invertebrate neurons are usually interpreted in terms of incrementation and

有助于

follicle