YTHDF2‐mediated m6A mRNA decay critically regulates learning and memory. Its forebrain‐specific knockout in mice impedes degradation of m6A‐modified mRNAs, enhancing hippocampal synaptic transmission, protein synthesis, and memory. Conversely, hippocampal YTHDF2 reintroduction or SEMA4B reduction reverses this enhancement, while its overexpression ...
Kuan Li+10 more
wiley +1 more source
The anorexic agents, sibutramine and fenfluramine, depress GABAB‐induced inhibitory postsynaptic potentials in rat mesencephalic dopaminergic cells [PDF]
Ada Ledonne+4 more
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Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim+3 more
wiley +1 more source
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin+10 more
wiley +1 more source
Somatostatin‐mediated inhibitory postsynaptic potential in sympathetically denervated guinea‐pig submucosal neurones. [PDF]
Ke Shen, Annmarie Surprenant
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Advances in Organic In‐Sensor Neuromorphic Computing: from Material Mechanisms to Applications
This review discusses organic in‐sensor neuromorphic computing for wearable and bioelectronic systems, with a focus on memory‐based and OECT‐based synaptic devices. It highlights key design principles, recent advances, and existing challenges. By integrating sensing and processing within organic materials, the approach enables real‐time, low‐power, and
Dong Hyun Lee+3 more
wiley +1 more source
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi+5 more
wiley +1 more source
Neuromorphic Device Based on Material and Device Innovation toward Multimode and Multifunction
In the era of big data, multimodal and multifunctional neuromorphic devices offer significant opportunities in designing AI hardware. In this work, recent advances about emerging material systems and novel device structures in this field are summarized in detail. Potential applications are reviewed.
Feng Guo+3 more
wiley +1 more source
Buried Treasure? Overlooked and Newly Discovered Evolutionary Contributions to Human Brain Diseases
Recapitulative schema of different exploratory levels of the evolutionary impact on human neurological diseases. Clinical neuroscience focuses on the mechanisms of brain function, but this approach falls short of insights into how the central nervous system (CNS) evolved, both in health and disease.
Nico J. Diederich+20 more
wiley +1 more source
Development of hyperpolarizing inhibitory postsynaptic potentials and hyperpolarizing response to gamma-aminobutyric acid in rabbit hippocampus studied in vitro [PDF]
Alan L. Mueller+2 more
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