An integrated single-nucleus and spatial transcriptomics atlas reveals the molecular landscape of the human hippocampus

JR Thompson, ED Nelson, M Tippani, AD Ramnauth… - BioRxiv, 2024 - pmc.ncbi.nlm.nih.gov
The hippocampus contains many unique cell types, which serve the structure's specialized
functions, including learning, memory and cognition. These cells have distinct spatial …

Knockout of the orphan membrane transporter Slc22a23 leads to a lean and hyperactive phenotype with a small hippocampal volume

Y Uchimura, K Hino, K Hattori, Y Kubo, A Owada… - Plos one, 2024 - journals.plos.org
Epidemiological studies suggest that poor nutrition during pregnancy predisposes offspring
to the development of lifestyle-related noncommunicable diseases and psychiatric disorders …

[HTML][HTML] Formation and Retrieval of Cell Assemblies in a Biologically Realistic Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus

JD Kopsick, JA Kilgore, GC Adam, GA Ascoli - bioRxiv, 2024 - ncbi.nlm.nih.gov
The hippocampal formation is critical for episodic memory, with area Cornu Ammonis 3
(CA3) a necessary substrate for auto-associative pattern completion. Recent theoretical and …

A Continuous Attractor Model with Realistic Neural and Synaptic Properties Quantitatively Reproduces Grid Cell Physiology

NM Sutton, BE Gutiérrez-Guzmán… - International Journal of …, 2024 - mdpi.com
Computational simulations with data-driven physiological detail can foster a deeper
understanding of the neural mechanisms involved in cognition. Here, we utilize the wealth of …

Building a mathematical model of the brain

F Skinner - Elife, 2024 - elifesciences.org
Computational Neuroscience: Building a mathematical model of the brain | eLife Skip to Content
eLife logo eLife home page Menu Home Magazine Community About Search Alerts Submit …

Biophysical modulation and robustness of itinerant complexity in neuronal networks

S Venkadesh, A Shaikh, H Shakeri… - Frontiers in Network …, 2024 - frontiersin.org
Transient synchronization of bursting activity in neuronal networks, which occurs in patterns
of metastable itinerant phase relationships between neurons, is a notable feature of network …

Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training

JA Kilgore, JD Kopsick, GA Ascoli, GC Adam - arXiv preprint arXiv …, 2024 - arxiv.org
Spiking neural networks drawing inspiration from biological constraints of the brain promise
an energy-efficient paradigm for artificial intelligence. However, challenges exist in …

Gather your neurons and model together: Community times ahead

M Diamantaki, A Papoutsi - PLoS biology, 2024 - journals.plos.org
Bottom-up, data-driven, large-scale models provide a mechanistic understanding of
neuronal functions. A new study in PLOS Biology builds a biologically realistic model of the …

Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics

J Mei, A Rodriguez-Garcia, D Takeuchi… - arXiv preprint arXiv …, 2025 - arxiv.org
Continuous, adaptive learning-the ability to adapt to the environment and improve
performance-is a hallmark of both natural and artificial intelligence. Biological organisms …

Synaptic proteome diversity is primarily driven by gene regulation of glutamate receptors and their regulatory proteins

R Reig-Viader, D del Castillo-Berges, A Burgas-Pau… - bioRxiv, 2024 - biorxiv.org
Electrophysiological features of excitatory synapses vary widely throughout the brain,
granting neuronal circuits the ability to decode and store diverse patterns of information …