Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Gamma-aminobutyric acid (GABA) is a crucial inhibitory neurotransmitter of the central nervous system. It modifies the signal threshold of the nociceptor, allowing it to react to external stimuli in various circumstances. Thus, GABAergic behaviors are critical characteristics of adaptive behavior in life. Here, a threshold-modulative artificial GABAergic nociceptor is reported for the first time at a Pt/Ti/Nb O /Al O /Pt/Ti (top to bottom) of the double charge trapping structure. The Al O layer contains deep defect states that function similarly to the GABA neurotransmitter in modulating the signal threshold. Meanwhile, the Nb O layer traps volatile charges and produces nociceptive behaviors. The combined dynamics of the two layers readily offer threshold-modulative GABAergic nociceptive behaviors. Based on these GABAergic behaviors, a method of implementing hot- and cold-sensitive thermoreceptors is demonstrated and shows its potential applications in advanced sensory devices.

Download full-text PDF

Source
http://dx.doi.org/10.1002/adma.202304148DOI Listing

Publication Analysis

Top Keywords

artificial gabaergic
8
gabaergic nociceptor
8
signal threshold
8
gabaergic behaviors
8
nociceptive behaviors
8
gabaergic
5
threshold modulative
4
modulative artificial
4
nociceptor gamma-aminobutyric
4
gamma-aminobutyric acid
4

Similar Publications

Cracking the Valence Code: Patterned Facial Kinematics and Neural Signatures of Emotional Expressions in Mice.

Adv Sci (Weinh)

August 2025

Behavioral and Cognitive Neuroscience Center, Institute of Science and Technology for Brain-Inspired Intelligence, MOE Frontiers Center for Brain Science, Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Department of Endocrinology, Huadong Hospita

Despite advances in linking mouse facial expressions to emotional states, the specific facial features and neural signatures remain elusive. An artificial intelligence (AI)-based framework that decodes mouse facial expressions is presented, revealing stable valence and arousal dimensions analogous to those described in human emotion models. Facial expressions emerge as robust indicators of positive and negative emotional responses, validated through pharmacological manipulations, while responses to hallucinogens highlight the potential of valence-specific prototype modeling for interpreting previously uncharacterized emotional states.

View Article and Find Full Text PDF

Self-supervised learning analysis of multi-FISH labeled cell-type map in thick brain slices.

Front Neurosci

July 2025

Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.

Introduction: Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the substantial cost of manual annotation of cells in volumetric images hinder existing neural networks from achieving high-precision segmentation of multiple cell-types within a unified framework.

Methods: To address this challenge, we introduce a self-supervised learning framework, Voxelwise U-shaped Swin-Mamba network (VUSMamba), for automatic segmentation of multiple neuronal populations in 300 μm thick brain slices.

View Article and Find Full Text PDF

Inter-brain neural dynamics in biological and artificial intelligence systems.

Nature

July 2025

Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

Social interaction can be regarded as a dynamic feedback loop between interacting individuals as they act and react to each other. Here, to understand the neural basis of these interactions, we investigated inter-brain neural dynamics across individuals in both mice and artificial intelligence systems. By measuring activities of molecularly defined neurons in the dorsomedial prefrontal cortex of socially interacting mice, we find that the multi-dimensional neural space within each individual can be partitioned into two distinct subspaces-a shared neural subspace that represents shared neural dynamics across animals and a unique neural subspace that represents activity unique to each animal.

View Article and Find Full Text PDF

PET Imaging in Psychiatric Disorders.

Semin Nucl Med

July 2025

Division of Nuclear Medicine, Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HC-FMUSP), Institute of Radiology, Sao Paulo, Brazil; Nuclear Medicine and PET/CT section, Centro de Diagnósticos, Hospital Sirio-Libanês, Sao Paulo, Brazil. Electronic address: arturcoutinh

Positron emission tomography (PET) has emerged as a pivotal imaging modality in the investigation of psychiatric disorders, enabling in vivo assessment of regional cerebral metabolism, neurotransmitter dynamics, receptor binding, synaptic density, and neuroinflammation. This comprehensive review synthesizes current evidence on the utility of PET imaging in elucidating the pathophysiology of major psychiatric conditions-including schizophrenia, mood disorders, autism spectrum disorder, attention-deficit/hyperactivity disorder, and addiction and its potential in clinical decision-making. F-FDG-PET has consistently demonstrated regional metabolic abnormalities, most notably prefrontal hypometabolism in schizophrenia and major depressive disorder, with implications for negative symptomatology, cognitive dysfunction, and treatment resistance.

View Article and Find Full Text PDF

Neuronal hyperexcitability is a common pathophysiological feature of many neurological diseases. Neuron-glia interactions underlie this process but the detailed mechanisms remain unclear. Here, we reveal a critical role of microglia-mediated selective elimination of inhibitory synapses in driving neuronal hyperexcitability.

View Article and Find Full Text PDF