AIMC Topic: Hippocampus
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Deep learning for the diagnosis of mesial temporal lobe epilepsy.
PloS one
Feb 23, 2023
OBJECTIVE: This study aimed to enable the automatic detection of the hippocampus and diagnose mesial temporal lobe epilepsy (MTLE) with the hippocampus as the epileptogenic area using artificial intelligence (AI). We compared the diagnostic accuracie...
Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity.
PLoS computational biology
Dec 22, 2022
Bottom-up models of functionally relevant patterns of neural activity provide an explicit link between neuronal dynamics and computation. A prime example of functional activity patterns are propagating bursts of place-cell activities called hippocamp...
A robotic model of hippocampal reverse replay for reinforcement learning.
Bioinspiration & biomimetics
Dec 2, 2022
Hippocampal reverse replay, a phenomenon in which recently active hippocampal cells reactivate in the reverse order, is thought to contribute to learning, particularly reinforcement learning (RL), in animals. Here, we present a novel computational mo...
Interpretable deep learning-based hippocampal sclerosis classification.
Epilepsia open
Oct 5, 2022
OBJECTIVE: To evaluate the performance of a deep learning model for hippocampal sclerosis classification on the clinical dataset and suggest plausible visual interpretation for the model prediction.
Deep Learning-Based Segmentation of Morphologically Distinct Rat Hippocampal Reactive Astrocytes After Trimethyltin Exposure.
Toxicologic pathology
Sep 20, 2022
As regulators of homeostasis, astrocytes undergo morphological changes after injury to limit the insult in central nervous system (CNS). Trimethyltin (TMT) is a known neurotoxicant that induces reactive astrogliosis in rat CNS. To evaluate the degree...
Deep learning-based feature extraction for prediction and interpretation of sharp-wave ripples in the rodent hippocampus.
eLife
Sep 5, 2022
Local field potential (LFP) deflections and oscillations define hippocampal sharp-wave ripples (SWRs), one of the most synchronous events of the brain. SWRs reflect firing and synaptic current sequences emerging from cognitively relevant neuronal ens...
Multimodal neural networks better explain multivoxel patterns in the hippocampus.
Neural networks : the official journal of the International Neural Network Society
Aug 3, 2022
The human hippocampus possesses "concept cells", neurons that fire when presented with stimuli belonging to a specific concept, regardless of the modality. Recently, similar concept cells were discovered in a multimodal network called CLIP (Radford e...
Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.
IEEE transactions on neural networks and learning systems
Jul 6, 2022
In contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the correct sequence of outputs in the presence of a series of inputs. This suggests that something import...
Hippocampal representations for deep learning on Alzheimer's disease.
Scientific reports
May 21, 2022
Deep learning offers a powerful approach for analyzing hippocampal changes in Alzheimer's disease (AD) without relying on handcrafted features. Nevertheless, an input format needs to be selected to pass the image information to the neural network, wh...
Normalized unitary synaptic signaling of the hippocampus and entorhinal cortex predicted by deep learning of experimental recordings.
Communications biology
May 5, 2022
Biologically realistic computer simulations of neuronal circuits require systematic data-driven modeling of neuron type-specific synaptic activity. However, limited experimental yield, heterogeneous recordings conditions, and ambiguous neuronal ident...
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