AIMC Topic: Neurons

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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 Fingers Veins Support Vector Machine Action Potentials Neurons Deep Learning Convolutional Neural Networks
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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...
Models, Neurological Action Potentials Neurons Neural Networks, Computer Algorithms Humans Neuronal Plasticity
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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 Biosensing Techniques Neurons Equipment Design Microelectrodes 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 Nerve Net Temporal Lobe Theta Rhythm Humans Recurrent Neural Networks Neural Networks, Computer Male Female Action Potentials Epilepsy Young Adult Adult
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Unveiling CNS cell morphology with deep learning: A gateway to anti-inflammatory compound screening.

PloS one Mar 21, 2025
Deciphering the complex relationships between cellular morphology and phenotypic manifestations is crucial for understanding cell behavior, particularly in the context of neuropathological states. Despite its importance, the application of advanced i...
Neuroinflammatory Diseases Microglia Anti-Inflammatory Agents Drug Evaluation, Preclinical Humans Image Processing, Computer-Assisted Neurons Animals Mice Central Nervous System Deep Learning
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Sparse connectivity enables efficient information processing in cortex-like artificial neural networks.

Frontiers in neural circuits Mar 13, 2025
Neurons in cortical networks are very sparsely connected; even neurons whose axons and dendrites overlap are highly unlikely to form a synaptic connection. What is the relevance of such sparse connectivity for a network's function? Surprisingly, it h...
Animals Cerebral Cortex Humans Models, Neurological Neural Pathways Neural Networks, Computer Neurons Nerve Net
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Interpretable deep learning for deconvolutional analysis of neural signals.

Neuron Mar 12, 2025
The widespread adoption of deep learning to model neural activity often relies on "black-box" approaches that lack an interpretable connection between neural activity and network parameters. Here, we propose using algorithm unrolling, a method for in...
Animals Neurons Neural Networks, Computer Deep Learning Algorithms Reward Models, Neurological Thalamus Brain Corpus Striatum Dopaminergic Neurons
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FPGA implementation of a complete digital spiking silicon neuron for circuit design and network approach.

Scientific reports Mar 12, 2025
When attempting to replicate the same biological spiking neuron model actions of the human brain, the spiking neuron model methodology and hardware realization design for the nervous system of the brain are crucial considerations. This work provides ...
Action Potentials Neurons Silicon Neural Networks, Computer Humans Models, Neurological
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Structure of activity in multiregion recurrent neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 7, 2025
Neural circuits comprise multiple interconnected regions, each with complex dynamics. The interplay between local and global activity is thought to underlie computational flexibility, yet the structure of multiregion neural activity and its origins i...
Humans Neural Networks, Computer Models, Neurological Neurons Nerve Net Recurrent Neural Networks
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A general framework for interpretable neural learning based on local information-theoretic goal functions.

Proceedings of the National Academy of Sciences of the United States of America Mar 5, 2025
Despite the impressive performance of biological and artificial networks, an intuitive understanding of how their local learning dynamics contribute to network-level task solutions remains a challenge to this date. Efforts to bring learning to a more...
Algorithms Learning Models, Neurological Humans Neural Networks, Computer Neurons Memory Information Theory
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