AIMC Topic: Entorhinal Cortex

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Rank labels scaffold social cognitive maps in the hippocampal-entorhinal system.

NeuroImage Jul 10, 2025
How do humans construct mental representations of social hierarchies in the absence of direct interpersonal interactions? In many real-world contexts, humans rely on symbolic rank labels-such as titles or performance ratings-to navigate social hierar...
Humans Male Female Magnetic Resonance Imaging Social Perception Decision Making Social Cognition Young Adult Hierarchy, Social Adult Brain Mapping Hippocampus Entorhinal Cortex
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The interplay between homeostatic synaptic scaling and homeostatic structural plasticity maintains the robust firing rate of neural networks.

eLife Jul 4, 2025
Critical network states and neural plasticity enable adaptive behavior in dynamic environments, supporting efficient information processing and experience-dependent learning. Synaptic-weight-based Hebbian plasticity and homeostatic synaptic scaling a...
Female Animals Male Homeostasis Nerve Net Entorhinal Cortex Receptors, AMPA Neurons Mice Synapses Neuronal Plasticity Hippocampus
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Enhanced role of the entorhinal cortex in adapting to increased working memory load.

Nature communications Jul 1, 2025
In daily life, we frequently encounter varying demands on working memory (WM), yet how the brain adapts to high WM load remains unclear. To address this question, we recorded intracranial EEG from hippocampus, entorhinal cortex (EC), and lateral temp...
Male Electroencephalography Memory, Short-Term Young Adult Adult Hippocampus Entorhinal Cortex Temporal Lobe Humans Machine Learning Female
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Deep Learning-Emerged Grid Cells-Based Bio-Inspired Navigation in Robotics.

Sensors (Basel, Switzerland) Mar 4, 2025
Grid cells in the brain's entorhinal cortex are essential for spatial navigation and have inspired advancements in robotic navigation systems. This paper first provides an overview of recent research on grid cell-based navigation in robotics, focusin...
Entorhinal Cortex Spatial Navigation Grid Cells Animals Humans Neural Networks, Computer Deep Learning Algorithms Robotics
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Determinantal point process attention over grid cell code supports out of distribution generalization.

eLife Aug 1, 2024
Deep neural networks have made tremendous gains in emulating human-like intelligence, and have been used increasingly as ways of understanding how the brain may solve the complex computational problems on which this relies. However, these still fall ...
Animals Models, Neurological Attention Neural Networks, Computer Humans Entorhinal Cortex Algorithms Grid Cells Brain
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An Optimized Deep Learning Model for Predicting Mild Cognitive Impairment Using Structural MRI.

Sensors (Basel, Switzerland) Jun 16, 2023
Early diagnosis of mild cognitive impairment (MCI) with magnetic resonance imaging (MRI) has been shown to positively affect patients' lives. To save time and costs associated with clinical investigation, deep learning approaches have been used widel...
Humans Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease Entorhinal Cortex
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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...
Entorhinal Cortex Neurons Synapses Hippocampus Deep Learning
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Hippocampal formation-inspired probabilistic generative model.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2022
In building artificial intelligence (AI) agents, referring to how brains function in real environments can accelerate development by reducing the design space. In this study, we propose a probabilistic generative model (PGM) for navigation in uncerta...
Brain Robotics Hippocampus Entorhinal Cortex Artificial Intelligence
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Flexible modulation of sequence generation in the entorhinal-hippocampal system.

Nature neuroscience Apr 12, 2021
Exploration, consolidation and planning depend on the generation of sequential state representations. However, these algorithms require disparate forms of sampling dynamics for optimal performance. We theorize how the brain should adapt internally ge...
Humans Neural Networks, Computer Nerve Net Animals Entorhinal Cortex Hippocampus
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Biomimetic FPGA-based spatial navigation model with grid cells and place cells.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2021
The mammalian spatial navigation system is characterized by an initial divergence of internal representations, with disparate classes of neurons responding to distinct features including location, speed, borders and head direction; an ensuing converg...
Biomimetics Hippocampus Entorhinal Cortex Rats Neural Networks, Computer Place Cells Spatial Navigation Models, Neurological Animals Grid Cells Neurons
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