Authors: Pengcheng Zhou, Shanna L. Resendez, Jose Rodriguez-Romaguera, Jessica C. Jimenez, Shay Q. Neufeld, Garret D. Stuber, Rene Hen, Mazen A. Kheirbek, Bernardo L. Sabatini, Robert E. Kass, Liam Paninski
arXiv
In vivo calcium imaging through microscopes has enabled deep brain imaging of previously inaccessible neuronal populations within the brains of freely moving subjects. However, microendoscopic data su...
Authors: Hugo Gabriel Eyherabide
arXiv
Understanding brain function, constructing computational models and engineering neural prosthetics require assessing two problems, namely encoding and decoding, but their relation remains controversia...
Authors: Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris
arXiv
Cluster analysis faces two problems in high dimensions: first, the `curse of dimensionality' that can lead to overfitting and poor generalization performance; and second, the sheer time taken for conv...
Authors: Cedric E. Ginestet, Arnaud P. Fournel, Andrew Simmons
arXiv
Comparing weighted networks in neuroscience is hard, because the topological properties of a given network are necessarily dependent on the number of edges of that network. This problem arises in the...
Authors: Bronwyn Woods
arXiv
This paper presents a method for the detection of traveling waves of activity in neural recordings from multi-electrode arrays. The method converts local field potential measurements into the phase do...
Authors: Yubai Yuan, Babak Shahbaba, Norbert Fortin, Keiland Cooper, Qing Nie, Annie Qu
arXiv
Detecting dynamic patterns of task-specific responses shared across heterogeneous datasets is an essential and challenging problem in many scientific applications in medical science and neuroscience....
Authors: Karolina Kulis, Sarah Baatout, Kevin Tabury, Joanna Polanska, Mohammed Abderrafi Benotmane
arXiv
A number of studies have indicated a potential association between prenatal exposure to radiation and late mental disabilities. This is believed to be due to long-term developmental changes and functi...
Authors: Ganchao Wei
arXiv
Modern recording techniques enable neuroscientists to simultaneously study neural activity across large populations of neurons, with capturing predictor-dependent correlations being a fundamental chal...
Authors: Camilo Lamus, Matti S. Hamalainen, Emery N. Brown, Patrick L. Purdon
arXiv
MEG and EEG are noninvasive functional neuroimaging techniques that provide recordings of brain activity with high temporal resolution, and thus provide a unique window to study fast time-scale neural...
Authors: Lingyi Peng, Qiaochu Wang, Yaotian Wang, Jie He, Xu Zou, Shuoran Li, Dana L. Tudorascu, David J. Schaeffer, Lauren Schaeffer, Diego Szczupak, Emily S. Rothwell, Stacey J. Sukoff Rizzo, Gregory W. Carter, Afonso C. Silva, Tingting Zhang
arXiv
The human brain is organized as a complex network, where connections between regions are characterized by both functional connectivity (FC) and structural connectivity (SC). While previous studies hav...
Authors: Vittorio Lippi
arXiv
The frequency response function (FRF) is an established way to describe the outcome of experiments in posture control literature. The FRF is an empirical transfer function between an input stimulus an...
Authors: Lisa Schwetlick, Sebastian Reich, Ralf Engbert
arXiv
Humans constantly move their eyes, even during visual fixations, where miniature (or fixational) eye movements occur involuntarily. Fixational eye movements comprise slow components (physiological dri...
Authors: Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher J. Rozell, Adam S. Charles
arXiv
Learning interpretable representations of neural dynamics at a population level is a crucial first step to understanding how observed neural activity relates to perception and behavior. Models of neur...
Authors: Anqi Zhang, Wilson S. Geisler
arXiv
Visual search is a fundamental natural task for humans and other animals. We investigated the decision processes humans use in covert (single-fixation) search with briefly presented displays having we...
Authors: Trevor GrandPre, Gianluca Teza, William Bialek
arXiv
The arrow of time can be quantified through the Kullback-Leibler divergence ($D_{KL}$) between the distributions of forward and reverse trajectories in a system. Many approaches to estimate this rely...