Authors: Satori Tsuzuki
arXiv
Nerve transmission delay is an important topic in neuroscience. Spike signals fired or received at the dendrites of a neuron travel from the axon to the presynaptic cell. The spike signal triggers a c...
Authors: Arianna Burzacchi, Nicoletta D'Angelo, David Payares-Garcia, Jorge Mateu
arXiv
We study noisy calcium imaging data, with a focus on the classification of spike traces. As raw traces obscure the true temporal structure of neuron's activity, we performed a tuned filtering of the c...
Authors: Johan Medrano, Nicholas A. Alexander, Robert A. Seymour, Peter Zeidman
arXiv
The analysis of neural power spectra plays a crucial role in understanding brain function and dysfunction. While recent efforts have led to the development of methods for decomposing spectral data, ch...
Authors: Stanley E. Lazic, Johannes Fuss, Peter Gass
arXiv
Few studies that examine the neurogenesis--behaviour relationship formally establish covariation between neurogenesis and behaviour or rule out competing explanations. The behavioural relevance of neu...
Authors: Pantelis Samartsidis, Silvia Montagna, Thomas E. Nichols, Timothy D. Johnson
arXiv
Neuroimaging meta-analysis is an area of growing interest in statistics. The special characteristics of neuroimaging data render classical meta-analysis methods inapplicable and therefore new methods...
Authors: Noslen Hernández, Aline Duarte, Guilherme Ost, Ricardo Fraiman, Antonio Galves, Claudia D. Vargas
arXiv
Using a new probabilistic approach we model the relationship between sequences of auditory stimuli generated by stochastic chains and the electroencephalographic (EEG) data acquired while 19 participa...
Authors: Hyungju Jeon, Il Memming Park
arXiv
Spike train signals recorded from a large population of neurons often exhibit low-dimensional spatio-temporal structure and modeled as conditional Poisson observations. The low-dimensional signals tha...
Authors: Apoorva Safai, Erin Jonaitis, Rebecca E Langhough, William R Buckingham, Sterling C. Johnson, W. Ryan Powell, Amy J. H. Kind, Barbara B. Bendlin, Pallavi Tiwari
arXiv
Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patterns underlying compl...
Authors: Matthias Kümmerer, Lucas Theis, Matthias Bethge
arXiv
Recent results suggest that state-of-the-art saliency models perform far from optimal in predicting fixations. This lack in performance has been attributed to an inability to model the influence of hi...
Authors: Andreas Trier Poulsen, Simon Kamronn, Jacek Dmochowski, Lucas C. Parra, Lars Kai Hansen
arXiv
We performed simultaneous recordings of electroencephalography (EEG) from multiple students in a classroom, and measured the inter-subject correlation (ISC) of activity evoked by a common video stimul...
Authors: Shuo Chen, F. DuBois Bowman, Yishi Xing
arXiv
Emerging brain network studies suggest that interactions between various distributed neuronal populations may be characterized by an organized complex topological structure. Many brain diseases are as...
Authors: A. W. Chung, M. D. Schirmer, M. L. Krishna, G. Ball, P. Aljabar, A. D. Edwards, G. Montana
arXiv
Network theory provides a principled abstraction of the human brain: reducing a complex system into a simpler representation from which to investigate brain organisation. Recent advancement in the neu...
Authors: Christopher K. Kovach
arXiv
A number of popular measures of dependence between pairs of band-limited signals rely on analytic phase. A common misconception is that the dependence revealed by these measures must be specific to th...
Authors: Daniel Moyer, Boris A Gutman, Neda Jahanshad, Paul M. Thompson
arXiv
One of the primary objectives of human brain mapping is the division of the cortical surface into functionally distinct regions, i.e. parcellation. While it is generally agreed that at macro-scale dif...
Authors: Raja Marjieh, Nori Jacoby, Joshua C. Peterson, Thomas L. Griffiths
arXiv
Shepard's universal law of generalization is a remarkable hypothesis about how intelligent organisms should perceive similarity. In its broadest form, the universal law states that the level of percei...