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Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job an...
Watching the brain do math
brain math
2016/8/1
A new Carnegie Mellon University neuroimaging study reveals the mental stages people go through as they are solving challenging math problems.Published in Psychological Science, researchers combined t...
New mathematical method reveals structure in neural activity in the brain
New mathematical method neural activity the brain
2015/11/12
A newly-developed mathematical method can detect geometric structure in neural activity in the brain. "Previously, in order to understand this structure, scientists needed to relate neural activity to...
A RVR-based Method for Bias Field Estimation in Brain Magnetic Resonance Images Segmentation
A RVR-based Method Bias Field Estimation Brain Magnetic Resonance Images Segmentation
2018/4/19
Abstract— This paper presents a relevance vector regression (RVR) based parametric approach to the bias field estimation in brain magnetic resonance (MR) image segmentation. Segmentation is a very imp...
Minimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning
Brain Computer Interfaces Functional Near-Infrared Spectroscopy Inter-subject variability Support Vector Machines RKHS
2012/11/23
Functional Near-Infrared spectroscopy (fNIRS) is an emerging non-invasive brain computer interface (BCI) modality that measures changes in haemoglobin concentrations in the cortical tissue. To date mo...
Transferring Subspaces Between Subjects in Brain-Computer Interfacing
Brain-ComputerInterface CommonSpatia Patterns Non-Stationarity Transfer Learning.
2012/11/22
Compensating changes between a subjects' training and testing session in Brain Computer Interfacing (BCI) is challenging but of great importance for a robust BCI operation. We show that such changes a...
Diffusion Based Modeling of Human Brain Response to External Stimuli
Diffusion Modeling of Human Brain External Stimuli Analysis of PDEs
2012/4/18
Human brain response is the overall ability of the brain in analyzing internal and external stimuli in the form of transferred energy to the mind/brain phase-space and thus, making the proper decision...
Broken chaotic clocks of brain neurons and depression
Broken chaotic clocks of brain neurons depression
2010/12/28
Irregular spiking time-series obtained in vitro and in vivo from singular brain neurons of different types of rats are analyzed by mapping to telegraph signals. Since the neural information is coded i...
Thermoacoustic tomography arising in brain imaging
Thermoacoustic tomography arising brain imaging
2010/12/1
The basic notions of category theory, such as limit, adjunction, and orthogonality, all involve
assertions of the existence and uniqueness of certain arrows. Weak notions arise when one drops
the un...
Dynamic interactions in terms of senders, hubs, and receivers (SHR) using the singular value decomposition of time series: Theory and brain connectivity applications
Dynamic interactions senders hubs receivers singular value decomposition of time series: Theory and brain connectivity applications
2010/12/15
Understanding of normal and pathological brain function requires the identification and localization of functional connections between specialized regions. The availability of high time resolution sig...