AIMC Topic: Action Potentials

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Leveraging spiking neural networks for topic modeling.

Neural networks : the official journal of the International Neural Network Society Jun 27, 2024
This article investigates the application of spiking neural networks (SNNs) to the problem of topic modeling (TM): the identification of significant groups of words that represent human-understandable topics in large sets of documents. Our research i...
Action Potentials Neural Networks, Computer Natural Language Processing Neuronal Plasticity Neurons Models, Neurological Humans
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Towards biologically plausible model-based reinforcement learning in recurrent spiking networks by dreaming new experiences.

Scientific reports Jun 25, 2024
Humans and animals can learn new skills after practicing for a few hours, while current reinforcement learning algorithms require a large amount of data to achieve good performances. Recent model-based approaches show promising results by reducing th...
Neurons Nerve Net Reinforcement, Psychology Animals Models, Neurological Action Potentials Computer Simulation Learning Humans Neural Networks, Computer Algorithms
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Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
The brain has computational capabilities that surpass those of modern systems, being able to solve complex problems efficiently in a simple way. Neuromorphic engineering aims to mimic biology in order to develop new systems capable of incorporating s...
Humans Neural Networks, Computer Hippocampus Memory Models, Neurological Computer Simulation CA3 Region, Hippocampal Action Potentials Learning Neurons Animals
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BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network.

Nature communications Jun 20, 2024
Characterization and modeling of biological neural networks has emerged as a field driving significant advancements in our understanding of brain function and related pathologies. As of today, pharmacological treatments for neurological disorders rem...
Neural Networks, Computer Animals Models, Neurological Humans Nervous System Diseases Nerve Net Action Potentials Neurons Biomimetics
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Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation.

Journal of neural engineering Jun 20, 2024
. This study introduces a novel approach for integrating the post-inhibitory rebound excitation (PIRE) phenomenon into a neuronal circuit. Excitatory and inhibitory synapses are designed to establish a connection between two hardware neurons, effecti...
Humans Neural Networks, Computer Computer Simulation Synapses Models, Neurological Nerve Net Action Potentials Neural Inhibition Neurons
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Self-architectural knowledge distillation for spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2024
Spiking neural networks (SNNs) have attracted attention due to their biological plausibility and the potential for low-energy applications on neuromorphic hardware. Two mainstream approaches are commonly used to obtain SNNs, i.e., ANN-to-SNN conversi...
Algorithms Models, Neurological Action Potentials Knowledge Humans Neural Networks, Computer Machine Learning
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Brain-computer interfaces inspired spiking neural network model for depression stage identification.

Journal of neuroscience methods Jun 15, 2024
BACKGROUND: Depression is a global mental disorder, and traditional diagnostic methods mainly rely on scales and subjective evaluations by doctors, which cannot effectively identify symptoms and even carry the risk of misdiagnosis. Brain-Computer Int...
Action Potentials Electroencephalography Brain-Computer Interfaces Neural Networks, Computer Brain Humans Adult Deep Learning Depression Models, Neurological
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Spiking generative adversarial network with attention scoring decoding.

Neural networks : the official journal of the International Neural Network Society Jun 1, 2024
Generative models based on neural networks present a substantial challenge within deep learning. As it stands, such models are primarily limited to the domain of artificial neural networks. Spiking neural networks, as the third generation of neural n...
Mice Models, Neurological Action Potentials Brain Animals Deep Learning Neurons Attention Humans Neural Networks, Computer Algorithms
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Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip.

Nature communications May 25, 2024
By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence. How to borrow high-level brain dynamic mechanisms t...
Models, Neurological Action Potentials Software Neurons Synapses Humans Algorithms Neural Networks, Computer Brain
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Firing feature-driven neural circuits with scalable memristive neurons for robotic obstacle avoidance.

Nature communications May 21, 2024
Neural circuits with specific structures and diverse neuronal firing features are the foundation for supporting intelligent tasks in biology and are regarded as the driver for catalyzing next-generation artificial intelligence. Emulating neural circu...
Robotics Neurons Nerve Net Animals Models, Neurological Neural Networks, Computer Avoidance Learning Action Potentials Artificial Intelligence Gryllidae
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