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Deciphering apicoplast targeting signals--feature extraction from nuclear-encoded precursors of Plasmodium falciparum apicoplast proteins.
The malaria causing protozoan Plasmodium falciparum contains a vestigal, non-photosynthetic plastid, the apicoplast. Numerous proteins encoded by nuclear genes are targeted to the apicoplast courtesyExpand
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Six Networks on a Universal Neuromorphic Computing Substrate
In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural networks. Expand
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Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
We present a method for parameter meta-optimization based on PSO and its application to neural network training with the aim to build a quantitative model for predicting blood-brain barrier permeation. Expand
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Processing and classification of chemical data inspired by insect olfaction
The chemical sense of insects has evolved to encode and classify odorants. Expand
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Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms
Neuromorphic hardware systems are now becoming more widely available and “neuromorphic algorithms” are being developed. Expand
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Neuromorphic Sensors, Olfaction
Neuromorphic olfaction is an emergent field of research which aims at unraveling computational principles of biological olfactory systems and translating them into algorithms and devices. Expand
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Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches
We provide a high-level description of the design objectives and approaches that are currently being pursued for building energy-efficient neuromorphic computing platforms. Expand
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SOMMER: self-organising maps for education and research
SOMMER is a publicly available, Java-based toolbox for training and visualizing two- and three-dimensional unsupervised self-organizing maps (SOMs). Expand
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Searching for drug scaffolds with 3D pharmacophores and neural network ensembles.
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Impact of different software implementations on the performance of the Maxmin method for diverse subset selection
The speed of execution of two implementations of the Maxmin algorithm is compared for the selection of maximally diverse subsets of large compound collections. Expand
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