Authors: Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf
arXiv
We introduce coroICA, confounding-robust independent component analysis, a novel ICA algorithm which decomposes linearly mixed multivariate observations into independent components that are corrupted...
Authors: Chi Zhang, Jennifer Ahern, Mark J. van der Laan, Oleg Sofrygin
arXiv
Over the past years, many applications aim to assess the causal effect of treatments assigned at the community level, while data are still collected at the individual level among individuals of the co...
Authors: Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
arXiv
Dimensionality reduction is often used as an initial step in data exploration, either as preprocessing for classification or regression or for visualization. Most dimensionality reduction techniques t...
Authors: Sandra D. Eksioglu, Berkay Gulcan, Mohammad Roni, Scott Mason
arXiv
Blending biomass materials of different physical or chemical properties provides an opportunity to adjust the quality of the feedstock to meet the specifications of the conversion platform. We propose...
Authors: Ivan A. Kuznetsov, Andrey V. Kuznetsov
arXiv
By assuming that tau protein can be in seven kinetic states, we developed a model of tau protein transport in the axon and in the axon initial segment (AIS). Two separate sets of kinetic constants wer...
Authors: Swapnil Mishra, Tresnia Berah, Thomas A. Mellan, H. Juliette T. Unwin, Michaela A Vollmer, Kris V Parag, Axel Gandy, Seth Flaxman, Samir Bhatt
arXiv
Renewal processes are a popular approach used in modelling infectious disease outbreaks. In a renewal process, previous infections give rise to future infections. However, while this formulation seems...
Authors: Duzgun Agdas, Prabir Barooah
arXiv
After the onset of the recent COVID-19 pandemic, a number of studies reported on possible changes in electricity consumption trends. The overall theme of these reports was that ``electricity use has d...
Authors: Robert Geirhos, Kristof Meding, Felix A. Wichmann
arXiv
A central problem in cognitive science and behavioural neuroscience as well as in machine learning and artificial intelligence research is to ascertain whether two or more decision makers (be they bra...
Authors: Ryuta Mizutani, Rino Saiga, Yoshiro Yamamoto, Masayuki Uesugi, Akihisa Takeuchi, Kentaro Uesugi, Yasuko Terada, Yoshio Suzuki, Vincent De Andrade, Francesco De Carlo, Susumu Takekoshi, Chie Inomoto, Naoya Nakamura, Youta Torii, Itaru Kushima, Shuji Iritani, Norio Ozaki, Kenichi Oshima, Masanari Itokawa, Makoto Arai
arXiv
The cerebral cortex is composed of multiple cortical areas that exert a wide variety of brain functions. Although human brain neurons are genetically and areally mosaic, the three-dimensional structur...
Authors: Roman Pogodin, Peter E. Latham
arXiv
The state-of-the art machine learning approach to training deep neural networks, backpropagation, is implausible for real neural networks: neurons need to know their outgoing weights; training alterna...
Authors: Tomas Van Pottelbergh, Guillaume Drion, Rodolphe Sepulchre
arXiv
This paper proposes a methodology to extract a low-dimensional integrate-and-fire model from an arbitrarily detailed single-compartment biophysical model. The method aims at relating the modulation of...
Authors: Yu Takagi, Steven W. Kennerley, Jun-ichiro Hirayama, Laurence T. Hunt
arXiv
Recent advances in neuroscience data acquisition allow for the simultaneous recording of large populations of neurons across multiple brain areas while subjects perform complex cognitive tasks. Interp...
Authors: Alvin J. K. Chua, Michele Vallisneri
arXiv
General relativity can be tested by comparing the binary-inspiral signals found in LIGO--Virgo data against waveform models that are augmented with artificial degrees of freedom. This approach suffers...
Authors: Shrey Dabhi, Manojkumar Parmar
arXiv
Real-world events exhibit a high degree of interdependence and connections, and hence data points generated also inherit the linkages. However, the majority of AI/ML techniques leave out the linkages...
Authors: Antonio Punzo, Luca Bagnato
arXiv
This paper introduces the multivariate tail-inflated normal (MTIN) distribution, an elliptical heavy-tails generalization of the multivariate normal (MN). The MTIN belongs to the family of MN scale mi...