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Parvalbumin interneurons in Alzheimer's disease: Physiological insights and pathophysiological mechanisms

Journal of Cell Communication and Signaling, Volume 20, Issue 3, September 2026.
Physiological and Pathological Alterations in PV+ Neurons: Under physiological conditions, PV+ interneurons exhibit fast‐spiking properties and generate gamma oscillations at the cost of high energy consumption. In AD, PV+ neurons display abnormalities in ion channels, dendrites, neurotransmission, energy metabolism, and neural oscillations, ultimately
Mengyan Wu, Xingdong Zeng, Yongle Cai, Haonan Chen, Qianying Li, Hao Yang   +5 more
wiley   +1 more source

The dual-sensitive period gut-brain crosstalk, neuroinflammation, and the biological roots of adolescent depression. [PDF]

Front Immunol
Shi Y, Ma Q.
europepmc   +1 more source

Rolling element bearing fault diagnosis based on modified Pufferfish optimization assisted efficient customized convolutional neural network with IMI-EMD. [PDF]

Sci Rep
M P, T NB.
europepmc   +1 more source

From synapse to system: mechanistic pathways of neural signaling dysfunction in psychiatric disorders. [PDF]

Front Cell Dev Biol
Gupta R, Jha NK, Kumar N, Nagraik R, Ravi K.   +4 more
europepmc   +1 more source

Systematic review of trends in deep learning for UAV cybersecurity. [PDF]

Front Artif Intell
Tariq U, Ahanger TA, Ahmed I.
europepmc   +1 more source

Hardware-Efficient Real-Valued Neural Predistorter for Multimode Power Amplifiers. [PDF]

Sensors (Basel)
Freire LBC, Schuartz L, Lima EG.
europepmc   +1 more source

A computational framework for epigenetic plasticity in memory. [PDF]

Brain
Delamare G, Wagle S, Gräff J, Clopath C.   +3 more
europepmc   +1 more source

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Pruning Weightless Neural Networks

ESANN 2022 proceedings, 2022
Weightless neural networks (WNNs) are a type of machine learning model which perform prediction using lookup tables (LUTs) instead of arithmetic operations. Recent advancements in WNNs have reduced model sizes and improved accuracies, reducing the gap in accuracy with deep neural networks (DNNs).
Zachary Susskind, Alan T. L. Bacellar, Aman Arora 0001, Luis A. Q. Villon, Renan Mendanha, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Igor D. S. Miranda, Maurício Breternitz Jr., Lizy K. John   +11 more
openaire   +2 more sources

Optimal pruning in neural networks

Physical Review E, 2000
We study pruning strategies in simple perceptrons subjected to supervised learning. Our analytical results, obtained through the statistical mechanics approach to learning theory, are independent of the learning algorithm used in the training process.
D M, Barbato, O, Kinouchi
openaire   +2 more sources

Pruning in Recurrent Neural Networks

1994
Recurrent neural networks are attracting considerable interest within the neural network domain especially because of their potential in such problems as pattern completion and temporal sequence processing (Almeida, 1987; Hertz et al., 1991). As for feed-forward networks, in virtually all problems of interest the proper number of hidden units is not ...
CASTELLANO G, FANELLI A. M, PELILLO, Marcello   +2 more
openaire   +2 more sources