AIMC Topic: CA1 Region, Hippocampal
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Spage2vec: Unsupervised representation of localized spatial gene expression signatures.
The FEBS journal
Oct 11, 2020
Investigations of spatial cellular composition of tissue architectures revealed by multiplexed in situ RNA detection often rely on inaccurate cell segmentation or prior biological knowledge from complementary single-cell sequencing experiments. Here,...
Dendritic computations captured by an effective point neuron model.
Proceedings of the National Academy of Sciences of the United States of America
Jul 10, 2019
Complex dendrites in general present formidable challenges to understanding neuronal information processing. To circumvent the difficulty, a prevalent viewpoint simplifies the neuronal morphology as a point representing the soma, and the excitatory a...
Phase relations of theta oscillations in a computer model of the hippocampal CA1 field: Key role of Schaffer collaterals.
Neural networks : the official journal of the International Neural Network Society
Apr 8, 2019
The hippocampal theta rhythm (4-12 Hz) is one of the most important electrophysiological processes in the hippocampus, it participates in cognitive hippocampal functions, such as navigation in space, novelty detection, and declarative memory. We use ...
Differential effects of childhood neglect and abuse during sensitive exposure periods on male and female hippocampus.
NeuroImage
Dec 27, 2017
The hippocampus is a highly stress susceptible structure and hippocampal abnormalities have been reported in a host of psychiatric disorders including major depression and post-traumatic stress disorder (PTSD). The hippocampus appears to be particula...
A new rat-compatible robotic framework for spatial navigation behavioral experiments.
Journal of neuroscience methods
Nov 4, 2017
BACKGROUND: Understanding the neural substrate of information encoding and processing requires a precise control of the animal's behavior. Most of what has been learned from the rodent navigational system results from relatively simple tasks in which...
Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus.
Neural computation
Oct 24, 2017
This letter examines the results of input-output (nonparametric) modeling based on the analysis of data generated by a mechanism-based (parametric) model of CA3-CA1 neuronal connections in the hippocampus. The motivation is to obtain biological insig...
Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds.
Journal of pharmacological sciences
Jan 28, 2017
Various biological factors have been implicated in convulsive seizures, involving side effects of drugs. For the preclinical safety assessment of drug development, it is difficult to predict seizure-inducing side effects. Here, we introduced a machin...
Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit.
eLife
Dec 23, 2016
The hippocampal theta rhythm plays important roles in information processing; however, the mechanisms of its generation are not well understood. We developed a data-driven, supercomputer-based, full-scale (1:1) model of the rodent CA1 area and studie...
Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality.
Neural computation
Feb 18, 2016
A neural network model is presented of novelty detection in the CA1 subdomain of the hippocampal formation from the perspective of information flow. This computational model is restricted on several levels by both anatomical information about hippoca...
Learning structured models for segmentation of 2-D and 3-D imagery.
IEEE transactions on medical imaging
Nov 26, 2014
Efficient and accurate segmentation of cellular structures in microscopic data is an essential task in medical imaging. Many state-of-the-art approaches to image segmentation use structured models whose parameters must be carefully chosen for optimal...
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