Objective: To investigate, if increasing ipsilateral cortical activation during sequential finger movements of increasing complexity relates to the difficulty of transitions ('sequence complexity') or to increa
In this paper we define and study finite state complexity of finite strings and infinite sequences as well as connections between these complexity notions to randomness and normality. We show that the finite state complexity does not only depend on the codes for finite transducers, but also on ...
26 for a detailed analysis of single-cell and LFP activity from this dataset). Fig. 1: Neural activity was recorded from hippocampal region CA1 as animals performed a complex nonspatial sequence memory task. a The task involves repeated presentations of sequences of nonspatial events (odor ...
By adopting and leveraging next-generation sequencing, clinical laboratories are now performing an ever-increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes, and epigenetic assays for genetic disorders. By virtue of increased complexity, ...
The discovery of functional non-coding RNA sequences has led to an increasing interest in algorithms related to RNA analysis. Traditional sequence alignment algorithms, however, fail at computing reliable alignments of low-homology RNA sequences. The spatial conformation of RNA sequences largely determi...
However, the computational demands associated with increasing model complexity and the amount of data available has considerably hampered careful model assessments. While MCMC approaches cleverly avoid calculating the normalization constant (or marginal likelihood), it is in fact this constant that is of...
The reliance on a solitary linear reference genome has imposed a significant constraint on our comprehensive understanding of genetic variation in animals. This constraint is particularly pronounced for non-reference sequences (NRSs), which have not been
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of methods that their hardware requirements are high and in some cases very slow because of this demand. Thus, a need for approaches without a skeleton or skin specified [14] which have the ability to produce compressed animated characters is of the essence. Other methods show that complexity ...
Such clustering techniques, however, are not applicable for very large alignments as their complexity is typically O(n 3), where n is the number of sequences. For such large data sets (typically with more than 10,000 sequences), methods such as fasttree [11] are required to generate a ...