AIMC Topic: Neurons

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A digital neuromorphic system for working memory based on spiking neuron-astrocyte network.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Among various types of memory, working memory (WM) plays a crucial role in reasoning, decision-making, and behavior regulation. Neuromorphic computing is a well-established engineering approach that offers promising avenues for advancing our understa...
Neurons Models, Neurological Humans Action Potentials Memory, Short-Term Neural Networks, Computer
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Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Inspired by the brain's information processing using binary spikes, spiking neural networks (SNNs) offer significant reductions in energy consumption and are more adept at incorporating multi-scale biological characteristics. In SNNs, spiking neurons...
Action Potentials Neurons Reinforcement, Psychology Algorithms Humans Deep Learning Dendrites Neural Networks, Computer Computer Simulation Models, Neurological Animals
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Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity.

International journal of neural systems Nov 15, 2024
Eye movements are the primary way primates interact with the world. Understanding how the brain controls the eyes is therefore crucial for improving human health and designing visual rehabilitation devices. However, brain activity is challenging to d...
Macaca mulatta Male Eye-Tracking Technology Eye Movements Models, Neurological Action Potentials Neurons Neural Networks, Computer Machine Learning Animals
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Deep learning-based spike sorting: a survey.

Journal of neural engineering Nov 14, 2024
Deep learning is increasingly permeating neuroscience, leading to a rise in signal-processing applications for extracellular recordings. These signals capture the activity of small neuronal populations, necessitating 'spike sorting' to assign action ...
Animals Deep Learning Action Potentials Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Neurons
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TSOM: Small object motion detection neural network inspired by avian visual circuit.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2024
Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian visual system is capable of processing motion information in various ...
Animals Birds Retina Neurons Columbidae Motion Perception Neural Networks, Computer Photic Stimulation Visual Pathways Algorithms Superior Colliculi
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A bio-inspired visual collision detection network integrated with dynamic temporal variance feedback regulated by scalable functional countering jitter streaming.

Neural networks : the official journal of the International Neural Network Society Nov 8, 2024
In pursuing artificial intelligence for efficient collision avoidance in robots, researchers draw inspiration from the locust's visual looming-sensitive neural circuit to establish an efficient neural network for collision detection. However, existin...
Grasshoppers Feedback Animals Neurons Neural Networks, Computer Robotics Visual Perception Artificial Intelligence
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Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning.

Journal of neural engineering Nov 7, 2024
Brain-machine interfaces (BMIs) aim to restore sensorimotor function to individuals suffering from neural injury and disease. A critical step in implementing a BMI is to decode movement intention from recorded neural activity patterns in sensorimotor...
Mice, Inbred C57BL Neurons Calcium Brain-Computer Interfaces Movement Extremities Male Deep Learning Mice Animals
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Synchronization-Inspired Interpretable Neural Networks.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Synchronization is a ubiquitous phenomenon in nature that enables the orderly presentation of information. In the human brain, for instance, functional modules such as the visual, motor, and language cortices form through neuronal synchronization. In...
Neural Networks, Computer Algorithms Brain Humans Semantics Nerve Net Cortical Synchronization Models, Neurological Neurons
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Biologically Plausible Sparse Temporal Word Representations.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Word representations, usually derived from a large corpus and endowed with rich semantic information, have been widely applied to natural language tasks. Traditional deep language models, on the basis of dense word representations, requires large mem...
Natural Language Processing Neurons Semantics Humans Brain Neural Networks, Computer Language Algorithms Models, Neurological
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Self-Lateral Propagation Elevates Synaptic Modifications in Spiking Neural Networks for the Efficient Spatial and Temporal Classification.

IEEE transactions on neural networks and learning systems Oct 29, 2024
The brain's mystery for efficient and intelligent computation hides in the neuronal encoding, functional circuits, and plasticity principles in natural neural networks. However, many plasticity principles have not been fully incorporated into artific...
Humans Neural Networks, Computer Algorithms Neurons Neuronal Plasticity Models, Neurological Synapses Action Potentials Nerve Net
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