AIMC Topic: Models, Neurological

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Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP.

Neural networks : the official journal of the International Neural Network Society Dec 7, 2024
Cortical networks are capable of unsupervised learning and spontaneous replay of complex temporal sequences. Endowing artificial spiking neural networks with similar learning abilities remains a challenge. In particular, it is unresolved how differen...
Stochastic Processes Neuronal Plasticity Models, Neurological Learning Neurons gamma-Aminobutyric Acid Action Potentials Humans Neural Networks, Computer
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Temporal spiking generative adversarial networks for heading direction decoding.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2024
The spike-based neuronal responses within the ventral intraparietal area (VIP) exhibit intricate spatial and temporal dynamics in the posterior parietal cortex, presenting decoding challenges such as limited data availability at the biological popula...
Neural Networks, Computer Animals Action Potentials Generative Adversarial Networks Neurons Models, Neurological Parietal Lobe Macaca mulatta
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Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Dec 4, 2024
Developmental plasticity plays a prominent role in shaping the brain's structure during ongoing learning in response to dynamically changing environments. However, the existing network compression methods for deep artificial neural networks (ANNs) an...
Deep Learning Neuronal Plasticity Models, Neurological Brain Animals Action Potentials Neurons Neural Networks, Computer Algorithms Humans
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Exploring neural architectures for simultaneously recognizing multiple visual attributes.

Scientific reports Dec 3, 2024
Much experimental evidence in neuroscience has suggested a division of higher visual processing into a ventral pathway specialized for object recognition and a dorsal pathway specialized for spatial recognition. Previous computational studies have su...
Pattern Recognition, Visual Visual Pathways Neural Networks, Computer Models, Neurological Visual Perception Humans
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Predefined-Time Convergent Kinematic Control of Robotic Manipulators With Unknown Models Based on Hybrid Neural Dynamics and Human Behaviors.

IEEE transactions on neural networks and learning systems Dec 2, 2024
This article proposes a model-free kinematic control method with predefined-time convergence for robotic manipulators with unknown models. The predefined-time convergence property guarantees that the regulation task can be finished by robotic manipul...
Humans Biomechanical Phenomena Models, Neurological Industry Robotics Task Performance and Analysis
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A Bio-Inspired Spiking Attentional Neural Network for Attentional Selection in the Listening Brain.

IEEE transactions on neural networks and learning systems Dec 2, 2024
Humans show a remarkable ability in solving the cocktail party problem. Decoding auditory attention from the brain signals is a major step toward the development of bionic ears emulating human capabilities. Electroencephalography (EEG)-based auditory...
Auditory Perception Attention Acoustic Stimulation Algorithms Brain Electroencephalography Neurons Models, Neurological Humans Neural Networks, Computer
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Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity.

IEEE transactions on neural networks and learning systems Dec 2, 2024
Spiking neural networks (SNNs) have captivated the attention worldwide owing to their compelling advantages in low power consumption, high biological plausibility, and strong robustness. However, the intrinsic latency associated with SNNs during infe...
Humans Models, Neurological Neural Networks, Computer Animals Action Potentials Algorithms Neuronal Plasticity Neurons
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Estimating global phase synchronization by quantifying multivariate mutual information and detecting network structure.

Neural networks : the official journal of the International Neural Network Society Nov 28, 2024
In neuroscience, phase synchronization (PS) is a crucial mechanism that facilitates information processing and transmission between different brain regions. Specifically, global phase synchronization (GPS) characterizes the degree of PS among multiva...
Cortical Synchronization Electroencephalography Phase Synchronization Models, Neurological Electroencephalography Epilepsy, Temporal Lobe Nerve Net Multivariate Analysis Algorithms Brain Humans Computer Simulation Neural Networks, Computer
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Aligned and oblique dynamics in recurrent neural networks.

eLife Nov 27, 2024
The relation between neural activity and behaviorally relevant variables is at the heart of neuroscience research. When strong, this relation is termed a neural representation. There is increasing evidence, however, for partial dissociations between ...
Models, Neurological Neurons Nerve Net Neural Networks, Computer Animals
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Arithmetic abilities of SNP systems with astrocytes producing calcium.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Are the membrane systems able of performing arithmetic operations? In the last dozen years, there were published several implementations of the arithmetic operations based on membrane systems by using all available topologies (cell-like, tissue-like,...
Humans Neural Networks, Computer Animals Models, Neurological Neurons Action Potentials Astrocytes Calcium
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