AIMC Topic: Neurons

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Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning.

IEEE transactions on medical imaging Oct 27, 2022
Emerging deep learning-based methods have enabled great progress in automatic neuron segmentation from Electron Microscopy (EM) volumes. However, the success of existing methods is heavily reliant upon a large number of annotations that are often exp...
Image Processing, Computer-Assisted Supervised Machine Learning Neurons
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Developmental Network-2: The Autonomous Generation of Optimal Internal-Representation Hierarchy.

IEEE transactions on neural networks and learning systems Oct 27, 2022
It is very challenging for machine learning methods to reach the goal of general-purpose learning since there are so many complicated situations in different tasks. The learning methods need to generate flexible internal representations for all scena...
Neural Networks, Computer Machine Learning Neurons Recognition, Psychology
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Multistability of Switched Neural Networks With Gaussian Activation Functions Under State-Dependent Switching.

IEEE transactions on neural networks and learning systems Oct 27, 2022
This article presents theoretical results on the multistability of switched neural networks with Gaussian activation functions under state-dependent switching. It is shown herein that the number and location of the equilibrium points of the switched ...
Neural Networks, Computer Algorithms Computer Simulation Neurons Normal Distribution
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Toward Deep Adaptive Hinging Hyperplanes.

IEEE transactions on neural networks and learning systems Oct 27, 2022
The adaptive hinging hyperplane (AHH) model is a popular piecewise linear representation with a generalized tree structure and has been successfully applied in dynamic system identification. In this article, we aim to construct the deep AHH (DAHH) mo...
Neural Networks, Computer Algorithms Brain Neurons
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LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Spiking neural networks (SNNs) based on the leaky integrate and fire (LIF) model have been applied to energy-efficient temporal and spatiotemporal processing tasks. Due to the bioplausible neuronal dynamics and simplicity, LIF-SNN benefits from event...
Neural Networks, Computer Cognition Neurons
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Computational modeling of color perception with biologically plausible spiking neural networks.

PLoS computational biology Oct 27, 2022
Biologically plausible computational modeling of visual perception has the potential to link high-level visual experiences to their underlying neurons' spiking dynamic. In this work, we propose a neuromorphic (brain-inspired) Spiking Neural Network (...
Neural Networks, Computer Computer Simulation Action Potentials Neurons Color Perception
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Visual Analytics for RNN-Based Deep Reinforcement Learning.

IEEE transactions on visualization and computer graphics Oct 26, 2022
Deep reinforcement learning (DRL) targets to train an autonomous agent to interact with a pre-defined environment and strives to achieve specific goals through deep neural networks (DNN). Recurrent neural network (RNN) based DRL has demonstrated supe...
Neural Networks, Computer Neurons Computer Graphics
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Inferring the location of neurons within an artificial network from their activity.

Neural networks : the official journal of the International Neural Network Society Oct 20, 2022
Inferring the connectivity of biological neural networks from neural activation data is an open problem. We propose that the analogous problem in artificial neural networks is more amenable to study and may illuminate the biological case. Here, we st...
Neural Networks, Computer Neurons
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Spike-Based Approximate Backpropagation Algorithm of Brain-Inspired Deep SNN for Sonar Target Classification.

Computational intelligence and neuroscience Oct 20, 2022
With the development of neuromorphic computing, more and more attention has been paid to a brain-inspired spiking neural network (SNN) because of its ultralow energy consumption and high-performance spatiotemporal information processing. Due to the d...
Neural Networks, Computer Algorithms Brain Neurons
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Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers.

International journal of neural systems Oct 17, 2022
Spiking neural P systems (SN P systems), inspired by biological neurons, are introduced as symbolical neural-like computing models that encode information with multisets of symbolized spikes in neurons and process information by using spike-based rew...
Neural Networks, Computer Algorithms Fuzzy Logic Models, Neurological Action Potentials Neurons Synapses
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