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The major components of CANFIS are (a) a fuzzy axon, which applies membership functions to the inputs and (b) a modular network that applies functional rules to the inputs (Heydari and Talaee 2011).
The regions involved could be part of a modular network that underlies person representation [9].
In fact, the targets appear to act as a modular network that impacts not only signaling functions, but also specifically the actin cytoskeleton, extracellular matrix and cell-cell adhesion [ 55].
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Adding a selective pressure to minimize connection costs leads to the evolution of modular networks that quickly adapt to new environments.
Since the SLH formalism, and accompanying automation tools such as the QHDL language [14] and the QNET simulation package [66], implement the analogue of lumped element analysis for quantum optical networks, they are most powerful for analyzing large-scale modular networks that are difficult to simulate from first principles.
Evolving networks with selection for performance alone produces non-modular networks that are slow to adapt to new environments.
The proposed HGA allows the optimization of multiple modular neural networks that use different number of data points for the training phase, which means that in the same evolution multiple results can be obtained.
The parameters of modular neural networks that are being optimized are: the number of modules (or sub granules), percentage of data for the training phase, learning algorithm, goal error, number of hidden layers and their number of neurons.
Our results, in the form of modular gene networks that highlight spatial and temporal biological functions, provide a systems-level molecular description of response to social stress.
Snell-Rood et al. (2010) suggested the internal context of gene networks as well as the external environmental context to shape population variation: modular gene networks that are induced by a subset of environments and demonstrate little pleiotropy might experience relaxed selection.
How does it differ from simply not being modular and what are examples of anti-modular network, if any? Can the authors provide an example of a network that is not modular and is not anti-modular?
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