AIMC Topic: Neurons

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SpikeCLIP: A contrastive language-image pretrained spiking neural network.

Neural networks : the official journal of the International Neural Network Society Apr 19, 2025
Spiking Neural Networks (SNNs) have emerged as a promising alternative to conventional Artificial Neural Networks (ANNs), demonstrating comparable performance in both visual and linguistic tasks while offering the advantage of improved energy efficie...
Neural Networks, Computer Algorithms Humans Action Potentials Neurons Language Models, Neurological
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Intersecting impact of CAG repeat and huntingtin knockout in stem cell-derived cortical neurons.

Neurobiology of disease Apr 19, 2025
Huntington's Disease (HD) is caused by a CAG repeat expansion in the gene encoding huntingtin (HTT). While normal HTT function appears impacted by the mutation, the specific pathways unique to CAG repeat expansion versus loss of normal function are u...
Trinucleotide Repeat Expansion Cerebral Cortex Gene Knockout Techniques Huntington Disease Huntingtin Protein Cell Differentiation Neurons Humans
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Multiscroll hidden attractor in memristive autapse neuron model and its memristor-based scroll control and application in image encryption.

Neural networks : the official journal of the International Neural Network Society Apr 17, 2025
In current neurodynamic studies, memristor models using polynomial or multiple nested composite functions are primarily employed to generate multiscroll attractors, but their complex mathematical form restricts both research and application. To addre...
Humans Neurons Computer Security Neural Networks, Computer Computer Simulation Algorithms Models, Neurological
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Topology optimization of random memristors for input-aware dynamic SNN.

Science advances Apr 16, 2025
Machine learning has advanced unprecedentedly, exemplified by GPT-4 and SORA. However, they cannot parallel human brains in efficiency and adaptability due to differences in signal representation, optimization, runtime reconfigurability, and hardware...
Brain Machine Learning Humans Algorithms Neurons Neural Networks, Computer
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Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals.

Cell Apr 8, 2025
Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to ex...
Spinal Cord Humans Biosensing Techniques Machine Learning Astrocytes Mice Signal Transduction Neurons Animals Spatio-Temporal Analysis Data Analysis
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Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification.

Neural networks : the official journal of the International Neural Network Society Apr 7, 2025
Spiking neural networks (SNNs) for event-based optical flow are claimed to be computationally more efficient than their artificial neural networks (ANNs) counterparts, but a fair comparison is missing in the literature. In this work, we propose an ev...
Neural Networks, Computer Algorithms Action Potentials Neurons
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A fractional-order multi-delayed bicyclic crossed neural network: Stability, bifurcation, and numerical solution.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2025
In this paper, we propose a fractional-order bicyclic crossed neural network (NN) with multiple time delays consisting of two sharing neurons between rings. The given fractional-order NN is defined in terms of the Caputo fractional derivatives. We pr...
Time Factors Neurons Algorithms Computer Simulation Neural Networks, Computer
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Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach.

Neural networks : the official journal of the International Neural Network Society Apr 4, 2025
In this study, we propose a novel modularized Quantum Neural Network (mQNN) model tailored to address the binary classification problem on the MNIST dataset. The mQNN organizes input information using quantum images and trainable quantum parameters e...
Neural Networks, Computer Neurons Quantum Theory
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Robust Sensory Information Reconstruction and Classification With Augmented Spikes.

IEEE transactions on neural networks and learning systems Apr 4, 2025
Sensory information recognition is primarily processed through the ventral and dorsal visual pathways in the primate brain visual system, which exhibits layered feature representations bearing a strong resemblance to convolutional neural networks (CN...
Animals Magnetic Resonance Imaging Algorithms Brain Visual Pathways Neurons Pattern Recognition, Automated Humans Neural Networks, Computer
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Design and Implementation of Pavlovian Associative Memory Based on DNA Neurons.

IEEE transactions on neural networks and learning systems Apr 4, 2025
In the field of biocomputing and neural networks, deoxyribonucleic acid (DNA) strand displacement (DSD) technology performs well in computation, programming, and information processing. In this article, the multiplication gate, addition gate, and thr...
Memory Conditioning, Classical Association Learning DNA Neurons Computer Simulation Humans Animals Neural Networks, Computer
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