Computational network models for molecular, neuronal and brain data in the presence of long range dependence
<p>Standard parametric statistical approaches based on comparison to global activity tend to perform poorly when this activity varies over multiple scales. Such multiscale variation, termed long range dependence, is a well-documented features of many biological and neurological data sets. We p...
मुख्य लेखक: | Wilsenach, J |
---|---|
अन्य लेखक: | Reinert, G |
स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
2021
|
विषय: |
समान संसाधन
-
Whole-brain comparison of rodent and human brains using spatial transcriptomics
द्वारा: Antoine Beauchamp, और अन्य
प्रकाशित: (2022-11-01) -
Editorial: Neuroinformatics of large-scale brain modelling
द्वारा: John D. Griffiths, और अन्य
प्रकाशित: (2022-10-01) -
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research
द्वारा: Brendan Behan, और अन्य
प्रकाशित: (2023-05-01) -
FAIR African brain data: challenges and opportunities
द्वारा: Eberechi Wogu, और अन्य
प्रकाशित: (2025-03-01) -
Editorial: Rising stars in systems neuroscience: 2022
द्वारा: Mazyar Fallah, और अन्य
प्रकाशित: (2024-05-01)