AIMC Topic: Neurons

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Exploring temporal information dynamics in Spiking Neural Networks: Fast Temporal Efficient Training.

Journal of neuroscience methods Feb 25, 2025
BACKGROUND: Spiking Neural Networks (SNNs) hold significant potential in brain simulation and temporal data processing. While recent research has focused on developing neuron models and leveraging temporal dynamics to enhance performance, there is a ...
Neural Networks, Computer Algorithms Brain Humans Action Potentials Neurons Time Factors Models, Neurological
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An accurate and fast learning approach in the biologically spiking neural network.

Scientific reports Feb 24, 2025
Computations adapted from the interactions of neurons in the nervous system have the potential to be a strong foundation for building computers with cognitive functions including decision-making, generalization, and real-time learning. In this contex...
Humans Neural Networks, Computer Algorithms Learning Machine Learning Neurons Models, Neurological Nerve Net Action Potentials Pyramidal Cells
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Organic Artificial Nerves: Neuromorphic Robotics and Bioelectronics.

Chemical reviews Feb 21, 2025
Neuromorphic electronics are inspired by the human brain's compact, energy-efficient nature and its parallel-processing capabilities. Beyond the brain, the entire human nervous system, with its hierarchical structure, efficiently preprocesses complex...
Humans Robotics Electronics Transistors, Electronic Neurons
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MARBLE: interpretable representations of neural population dynamics using geometric deep learning.

Nature methods Feb 17, 2025
The dynamics of neuron populations commonly evolve on low-dimensional manifolds. Thus, we need methods that learn the dynamical processes over neural manifolds to infer interpretable and consistent latent representations. We introduce a representatio...
Models, Neurological Neurons Nonlinear Dynamics Deep Learning Rats Neural Networks, Computer Computer Simulation Animals Algorithms
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Spiking neural networks on FPGA: A survey of methodologies and recent advancements.

Neural networks : the official journal of the International Neural Network Society Feb 14, 2025
The mimicry of the biological brain's structure in information processing enables spiking neural networks (SNNs) to exhibit significantly reduced power consumption compared to conventional systems. Consequently, these networks have garnered heightene...
Neurons Brain Animals Action Potentials Humans Neural Networks, Computer
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Neuroevolution insights into biological neural computation.

Science (New York, N.Y.) Feb 14, 2025
This article reviews existing work and future opportunities in neuroevolution, an area of machine learning in which evolutionary optimization methods such as genetic algorithms are used to construct neural networks to achieve desired behavior. The ar...
Biological Evolution Language Animals Neural Pathways Neurons Humans Machine Learning Neurosciences Neural Networks, Computer Algorithms Brain
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Robotic Fast Patch Clamp in Brain Slices Based on Stepwise Micropipette Navigation and Gigaseal Formation Control.

Sensors (Basel, Switzerland) Feb 13, 2025
The patch clamp technique has become the gold standard for neuron electrophysiology research in brain science. Brain slices have been widely utilized as the targets of the patch clamp technique due to their higher optical transparency compared to a l...
Robotics Neurons Patch-Clamp Techniques Animals Rats Brain
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Comparison of derivative-based and correlation-based methods to estimate effective connectivity in neural networks.

Scientific reports Feb 13, 2025
Inferring and understanding the underlying connectivity structure of a system solely from the observed activity of its constituent components is a challenge in many areas of science. In neuroscience, techniques for estimating connectivity are paramou...
Animals Models, Neurological Neurons Neural Networks, Computer Algorithms Nerve Net
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Latent circuit inference from heterogeneous neural responses during cognitive tasks.

Nature neuroscience Feb 10, 2025
Higher cortical areas carry a wide range of sensory, cognitive and motor signals mixed in heterogeneous responses of single neurons tuned to multiple task variables. Dimensionality reduction methods that rely on correlations between neural activity a...
Photic Stimulation Macaca mulatta Cognition Models, Neurological Animals Neurons Nerve Net Male Neural Networks, Computer Decision Making Prefrontal Cortex
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CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Spiking neural networks (SNNs) mimic their biological counterparts more closely than their predecessors and are considered the third generation of artificial neural networks. It has been proven that networks of spiking neurons have a higher computati...
Humans Neural Networks, Computer Algorithms Action Potentials Neurons Pattern Recognition, Automated Neuronal Plasticity Models, Neurological
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