Authors: Marco Pisanello, Filippo Pisano, Minsuk Hyun, Emanuela Maglie, Antonio Balena, Massimo De Vittorio, Bernardo L Sabatini, Ferruccio Pisanello
arXiv
Fiber photometry permits monitoring fluorescent indicators of neural activity in behaving animals. Optical fibers are typically used to excite and collect fluorescence from genetically-encoded calcium...
Authors: Asim Iqbal, Asfandyar Sheikh, Theofanis Karayannis
arXiv
We introduce here a fully automated convolutional neural network-based method for brain image processing to Detect Neurons in different brain Regions during Development (DeNeRD). Our method takes a de...
Authors: Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang
arXiv
Multi-subject fMRI data analysis is an interesting and challenging problem in human brain decoding studies. The inherent anatomical and functional variability across subjects make it necessary to do b...
Authors: Philip G. Sansom, David B. Stephenson, Daniel B. Williamson
arXiv
Existing methods for diagnosing predictability in climate indices often make a number of unjustified assumptions about the climate system that can lead to misleading conclusions. We present a flexible...
Authors: Samuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans
arXiv
Knowledge of the noise distribution in magnitude diffusion MRI images is the centerpiece to quantify uncertainties arising from the acquisition process. The use of parallel imaging methods, the number...
Authors: Marcel MĆyĆczak
arXiv
Causal discovery broadens the inference possibilities, as correlation does not inform about the relationship direction. The common approaches were proposed for cases in which prior knowledge is desire...
Authors: Ioannis Polykretis, Vladimir Ivanov, Konstantinos P. Michmizos
arXiv
Understanding the role of astrocytes in brain computation is a nascent challenge, promising immense rewards, in terms of new neurobiological knowledge that can be translated into artificial intelligen...
Authors: Christian Kuehn, Jonas M. Tölle
arXiv
We study stochastic Amari-type neural field equations, which are mean-field models for neural activity in the cortex. We prove that under certain assumptions on the coupling kernel, the neural field m...
Authors: Katherine Storrs, Sebastiaan Van Leuven, Steve Kojder, Lucas Theis, Ferenc HuszĂĄr
arXiv
To effectively evaluate subjective visual quality in weakly-controlled environments, we propose an Adaptive Paired Comparison method based on particle filtering. As our approach requires each sample t...
Authors: Nada Abdalla, Sudipto Banerjee, Gurumurthy Ramachandran, Mark Stenzel, Patricia A. Stewart
arXiv
Statistical interpolation of chemical concentrations at new locations is an important step in assessing a worker's exposure level. When measurements are available from coastlines, as is the case in co...
Authors: David Papo, Javier M. BuldĂș
arXiv
Synchronization plays a fundamental role in healthy cognitive and motor function. However, how synchronization depends on the interplay between local dynamics, coupling and topology and how prone to s...
Authors: Abraham Loeb
arXiv
We currently harness technologies that could shed new light on old philosophical questions, such as whether our mind entails anything beyond our body or whether our moral values reflect universal trut...
Authors: Gianluca Calcagni, Ernesto Caballero-Garrido, Ricardo PellĂłn
arXiv
How stable and general is behavior once maximum learning is reached? To answer this question and understand post-acquisition behavior and its related individual differences, we propose a psychological...
Authors: Chenfei Zhang, David Hofmann, Andreas Neef, Fred Wolf
arXiv
Cortical neurons in the fluctuation driven regime can realize ultrafast population encoding. The underlying biophysical mechanisms, however, are not well understood. Reducing the sharpness of the acti...
Authors: Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins
arXiv
Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. Further, they are quantitatively accurate models of temporally-averag...