AIMC Topic: Action Potentials

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A mean field theory for pulse-coupled neural oscillators based on the spike time response curve.

Journal of neurophysiology Jun 1, 2025
A mean field method for pulse-coupled oscillators with delays used a self-connected oscillator to represent a synchronous cluster of - 1 oscillators and a single oscillator assumed to be perturbed from the cluster. A periodic train of biexponential ...
Action Potentials Neural Networks, Computer Interneurons Neurons Animals Nerve Net Models, Neurological
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Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models.

IEEE transactions on neural networks and learning systems Jun 1, 2025
The brain is able to acquire and store memories of everyday experiences in real-time. It can also selectively forget information to facilitate memory updating. However, our understanding of the underlying mechanisms and coordination of these processe...
Memory Models, Neurological Action Potentials Neurons Brain Computer Simulation Humans Neural Networks, Computer
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STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks.

IEEE transactions on neural networks and learning systems Jun 1, 2025
Spiking neural networks (SNNs) are biologically plausible models known for their computational efficiency. A significant advantage of SNNs lies in the binary information transmission through spike trains, eliminating the need for multiplication opera...
Humans Neural Networks, Computer Machine Learning Feedback Animals Time Factors Algorithms Computer Simulation Neurons Neuronal Plasticity Models, Neurological Action Potentials
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A Memristive Spiking Neural Network Circuit for Bio-Inspired Navigation Based on Spatial Cognitive Mechanisms.

IEEE transactions on biomedical circuits and systems Jun 1, 2025
Cognitive navigation, a high-level and crucial function for organisms' survival in nature, enables autonomous exploration and navigation within the environment. However, most existing works for bio-inspired navigation are implemented with non-neuromo...
Robotics Spatial Navigation Humans Neural Networks, Computer Cognition Action Potentials
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NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data Processing.

IEEE transactions on biomedical circuits and systems Jun 1, 2025
The realization of brain-scale spiking neural networks (SNNs) is impeded by power constraints and low integration density. To address these challenges, multi-core SNNs are utilized to emulate numerous neurons with high energy efficiency, where spike ...
Humans Neural Networks, Computer Action Potentials Equipment Design Signal Processing, Computer-Assisted Neurons
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Unsupervised post-training learning in spiking neural networks.

Scientific reports May 21, 2025
The human brain is a dynamic system that is constantly learning. It employs a combination of various learning strategies to facilitate complex learning processes. However, implementing biological learning mechanisms into Spiking Neural Networks (SNNs...
Learning Neuronal Plasticity Models, Neurological Action Potentials Unsupervised Machine Learning Synapses Humans Neurons Nerve Net Neural Networks, Computer Brain
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Neural Code Translation With LIF Neuron Microcircuits.

Neural computation May 14, 2025
Spiking neural networks (SNNs) provide an energy-efficient alternative to traditional artificial neural networks, leveraging diverse neural encoding schemes such as rate, time-to-first-spike (TTFS), and population-based binary codes. Each encoding me...
Action Potentials Neurons Animals Humans Models, Neurological Neural Networks, Computer
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Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks.

Neural computation May 14, 2025
The study of brain activity spans diverse scales and levels of description and requires the development of computational models alongside experimental investigations to explore integrations across scales. The high dimensionality of spiking networks p...
Humans Neurons Nerve Net Animals Neural Networks, Computer Models, Neurological Brain Action Potentials Computer Simulation
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Dynamics of Continuous Attractor Neural Networks With Spike Frequency Adaptation.

Neural computation May 14, 2025
Attractor neural networks consider that neural information is stored as stationary states of a dynamical system formed by a large number of interconnected neurons. The attractor property empowers a neural system to encode information robustly, but it...
Brain Adaptation, Physiological Humans Action Potentials Animals Neural Networks, Computer Neurons Models, Neurological
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Hippocampal-prefrontal functional neural networks in a rat model of fragile X syndrome are poorly organized with limited resiliency.

Scientific reports May 8, 2025
Fragile X Syndrome (FXS) is a common cause of autism spectrum symptoms. The genetic mutation results in multiple molecular alterations that are hypothesized to negatively impact neural circuit development although the nature of any functional neural ...
Animals Male Anxiety Rats Social Behavior Prefrontal Cortex Disease Models, Animal Hippocampus Fragile X Syndrome Action Potentials Fragile X Mental Retardation Protein Behavior, Animal Nerve Net
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