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Hippocampus

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Alzheimer's Disease Classification Based on Multi-feature Fusion.

Current medical imaging reviews
BACKGROUND: In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer's Disease (AD).

Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease.

Journal of Alzheimer's disease : JAD
BACKGROUND: Predicting clinical course of cognitive decline can boost clinical trials' power and improve our clinical decision-making. Machine learning (ML) algorithms are specifically designed for the purpose of prediction; however. identifying opti...

Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Calcium spiking can be used for drug screening studies in pharmaceutical industries. However, performing experiments for multiple drugs and doses are highly expensive. The oscillatory behavior of calcium spiking data demonstrates extreme nonlinearity...

γ-Aminobutyric Acid Type A Receptor Potentiation Inhibits Learning in a Computational Network Model.

Anesthesiology
BACKGROUND: Propofol produces memory impairment at concentrations well below those abolishing consciousness. Episodic memory, mediated by the hippocampus, is most sensitive. Two potentially overlapping scenarios may explain how γ-aminobutyric acid re...

Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
A growing literature suggests that the hippocampus is critical for the rapid extraction of regularities from the environment. Although this fits with the known role of the hippocampus in rapid learning, it seems at odds with the idea that the hippoca...

Metric Learning for Multi-atlas based Segmentation of Hippocampus.

Neuroinformatics
Automatic and reliable segmentation of hippocampus from MR brain images is of great importance in studies of neurological diseases, such as epilepsy and Alzheimer's disease. In this paper, we proposed a novel metric learning method to fuse segmentati...

[Effects of extractionfrom raspberry on hippocampus proteomics of mice suffered from ovariectomized-induced AD].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
This paper was aimed to investigate the impact of the extraction from raspberry on the Alzheimer disease model protein expression. According to weight, the ovariectomized mice were randomly divided into shame operation group, model group, estrogen po...

A Lognormal Recurrent Network Model for Burst Generation during Hippocampal Sharp Waves.

The Journal of neuroscience : the official journal of the Society for Neuroscience
The strength of cortical synapses distributes lognormally, with a long tail of strong synapses. Various properties of neuronal activity, such as the average firing rates of neurons, the rate and magnitude of spike bursts, the magnitude of population ...

Using Grid Cells for Navigation.

Neuron
Mammals are able to navigate to hidden goal locations by direct routes that may traverse previously unvisited terrain. Empirical evidence suggests that this "vector navigation" relies on an internal representation of space provided by the hippocampal...

An astrocyte neuromorphic circuit that influences neuronal phase synchrony.

IEEE transactions on biomedical circuits and systems
Neuromorphic circuits are designed and simulated to emulate the role of astrocytes in phase synchronization of neuronal activity. We emulate, to a first order, the ability of slow inward currents (SICs) evoked by the astrocyte, acting on extrasynapti...