AIMC Topic: Neurons

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Repetitive training enhances the pattern recognition capability of cultured neural networks.

PLoS computational biology Apr 22, 2025
Cultured neural networks in vitro have demonstrated the biocomputing capability to recognize patterns. However, the underlying mechanisms behind information processing and pattern recognition remain less understood. Here, we developed an in vitro neu...
Microelectrodes Pattern Recognition, Physiological Neural Networks, Computer Neurons Cells, Cultured Computational Biology Pattern Recognition, Automated Animals Nerve Net Rats
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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...
Huntington Disease Humans Huntingtin Protein Cell Differentiation Trinucleotide Repeat Expansion Neurons Cerebral Cortex Gene Knockout Techniques
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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...
Neurons Machine Learning Humans Algorithms Neural Networks, Computer Brain
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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...
Machine Learning Data Analysis Animals Humans Spinal Cord Signal Transduction Spatio-Temporal Analysis Astrocytes Biosensing Techniques Neurons Mice
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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 Neurons Pattern Recognition, Automated Visual Pathways Neural Networks, Computer Algorithms Brain Humans
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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...
DNA Neurons Memory Neural Networks, Computer Computer Simulation Animals Conditioning, Classical Association Learning Humans
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Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold.

Sensors (Basel, Switzerland) Apr 3, 2025
Currently, finger vein recognition (FVR) stands as a pioneering biometric technology, with convolutional neural networks (CNNs) and Transformers, among other advanced deep neural networks (DNNs), consistently pushing the boundaries of recognition acc...
Humans Neural Networks, Computer Algorithms Deep Learning Neurons Convolutional Neural Networks Fingers Support Vector Machine Veins Action Potentials
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RRAM-Based Spiking Neural Network With Target-Modulated Spike-Timing-Dependent Plasticity.

IEEE transactions on biomedical circuits and systems Apr 2, 2025
The spiking neural network (SNN) training with spike timing-dependent plasticity (STDP) for image classification usually requires a lot of neurons to extract representative features and(or) needs an external classifier. Conventional bio-inspired lear...
Neurons Humans Neuronal Plasticity Neural Networks, Computer Models, Neurological Algorithms Action Potentials
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A hybrid bioelectronic retina-probe interface for object recognition.

Biosensors & bioelectronics Mar 24, 2025
Retina converts light stimuli into spike firings, encoding abundant visual information critical for both fundamental studies of the visual system and therapies for visual diseases. However, probing these spikes directly from the retina is hindered by...
Humans Machine Learning Animals Retina Neurons Microelectrodes Biosensing Techniques Equipment Design Light
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Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks.

Nature neuroscience Mar 24, 2025
The temporal order of a sequence of events has been thought to be reflected in the ordered firing of neurons at different phases of theta oscillations. Here we assess this by measuring single neuron activity (1,420 neurons) and local field potentials...
Memory, Short-Term Neurons Humans Male Nerve Net Temporal Lobe Female Neural Networks, Computer Action Potentials Theta Rhythm Young Adult Recurrent Neural Networks Epilepsy Adult
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