AIMC Topic: Neurons

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Facemap: a framework for modeling neural activity based on orofacial tracking.

Nature neuroscience Nov 20, 2023
Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural activity across the brain. To understand the nature and function of these signals, we need better computational models to characterize the behaviors and relat...
Mice Neurons Animals Cerebral Cortex Neural Networks, Computer Brain Algorithms
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LFighter: Defending against the label-flipping attack in federated learning.

Neural networks : the official journal of the International Neural Network Society Nov 11, 2023
Federated learning (FL) provides autonomy and privacy by design to participating peers, who cooperatively build a machine learning (ML) model while keeping their private data in their devices. However, that same autonomy opens the door for malicious ...
Reproducibility of Results Privacy Machine Learning Poisons Neurons
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Architecture of the brain's visual system enhances network stability and performance through layers, delays, and feedback.

PLoS computational biology Nov 10, 2023
In the visual system of primates, image information propagates across successive cortical areas, and there is also local feedback within an area and long-range feedback across areas. Recent findings suggest that the resulting temporal dynamics of neu...
Primates Neurons Brain Animals Feedback Neural Networks, Computer
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A bi-functional three-terminal memristor applicable as an artificial synapse and neuron.

Nanoscale Nov 2, 2023
Due to their significant resemblance to the biological brain, spiking neural networks (SNNs) show promise in handling spatiotemporal information with high time and energy efficiency. Two-terminal memristors have the capability to achieve both synapti...
Neural Networks, Computer Neurons Synapses Neuronal Plasticity Brain
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A White-Box Testing for Deep Neural Networks Based on Neuron Coverage.

IEEE transactions on neural networks and learning systems Oct 27, 2023
With the introduction of neuron coverage as a testing criterion for deep neural networks (DNNs), covering more neurons to detect more internal logic of DNNs became the main goal of many research studies. While some works had made progress, some new c...
Neurons Neural Networks, Computer
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Prototype-Based Interpretation of the Functionality of Neurons in Winner-Take-All Neural Networks.

IEEE transactions on neural networks and learning systems Oct 27, 2023
Prototype-based learning (PbL) using a winner-take-all (WTA) network based on minimum Euclidean distance (ED-WTA) is an intuitive approach to multiclass classification. By constructing meaningful class centers, PbL provides higher interpretability an...
Algorithms Neurons Neural Networks, Computer
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An advanced approach for the electrical responses of discrete fractional-order biophysical neural network models and their dynamical responses.

Scientific reports Oct 24, 2023
The multiple activities of neurons frequently generate several spiking-bursting variations observed within the neurological mechanism. We show that a discrete fractional-order activated nerve cell framework incorporating a Caputo-type fractional diff...
Computer Simulation Biophysics Neurons Neural Networks, Computer Algorithms
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Iontronic Nanopore Model for Artificial Neurons: The Requisites of Spiking.

The journal of physical chemistry letters Oct 2, 2023
Brain-inspired neuromorphic computing is currently being investigated for effective artificial intelligence (AI) systems. The development of artificial neurons and synapses is imperative to creating efficient computational biomimetic networks. Here w...
Nanopores Synapses Brain Neurons Artificial Intelligence
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Neuron Contact Detection Based on Pipette Precise Positioning for Robotic Brain-Slice Patch Clamps.

Sensors (Basel, Switzerland) Sep 28, 2023
A patch clamp is the "gold standard" method for studying ion-channel biophysics and pharmacology. Due to the complexity of the operation and the heavy reliance on experimenter experience, more and more researchers are focusing on patch-clamp automati...
Neurons Robotics Brain Robotic Surgical Procedures Automation
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A Deep Learning Approach for Neuronal Cell Body Segmentation in Neurons Expressing GCaMP Using a Swin Transformer.

eNeuro Sep 26, 2023
Neuronal cell body analysis is crucial for quantifying changes in neuronal sizes under different physiological and pathologic conditions. Neuronal cell body detection and segmentation mainly rely on manual or pseudo-manual annotations. Manual annotat...
Cell Body Animals Humans Deep Learning Neurons Algorithms Mice Axons
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