AIMC Topic: Neurons

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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...
Patch-Clamp Techniques Rats Robotics Brain Neurons Animals
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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...
Neurons Nerve Net Neural Networks, Computer Algorithms Animals Models, Neurological
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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...
Neural Networks, Computer Animals Male Photic Stimulation Decision Making Macaca mulatta Prefrontal Cortex Neurons Cognition Nerve Net Models, Neurological
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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...
Algorithms Neuronal Plasticity Models, Neurological Humans Neural Networks, Computer Pattern Recognition, Automated Action Potentials Neurons
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Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Since digital spiking signals can carry rich information and propagate with low computational consumption, spiking neural networks (SNNs) have received great attention from neuroscientists and are regarded as the future development object of neural n...
Synapses Algorithms Computer Simulation Animals Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer
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Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Spiking neural networks (SNNs) are the basis for many energy-efficient neuromorphic hardware systems. While there has been substantial progress in SNN research, artificial SNNs still lack many capabilities of their biological counterparts. In biologi...
Neural Networks, Computer Machine Learning Computer Simulation Action Potentials Humans Learning Neurons Neuronal Plasticity Memory Models, Neurological
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Bio-plausible reconfigurable spiking neuron for neuromorphic computing.

Science advances Feb 5, 2025
Biological neurons use diverse temporal expressions of spikes to achieve efficient communication and modulation of neural activities. Nonetheless, existing neuromorphic computing systems mainly use simplified neuron models with limited spiking behavi...
Action Potentials Neurons Humans Neural Networks, Computer Models, Neurological
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Spatio-temporal transformers for decoding neural movement control.

Journal of neural engineering Feb 4, 2025
. Deep learning tools applied to high-resolution neurophysiological data have significantly progressed, offering enhanced decoding, real-time processing, and readability for practical applications. However, the design of artificial neural networks to...
Psychomotor Performance Movement Motor Cortex Action Potentials Neurons Macaca mulatta Neural Networks, Computer Animals Male Spatio-Temporal Analysis Models, Neurological
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Hybrid neural networks for continual learning inspired by corticohippocampal circuits.

Nature communications Feb 2, 2025
Current artificial systems suffer from catastrophic forgetting during continual learning, a limitation absent in biological systems. Biological mechanisms leverage the dual representation of specific and generalized memories within corticohippocampal...
Humans Neural Networks, Computer Learning Animals Memory Hippocampus Cerebral Cortex Models, Neurological Nerve Net Neurons
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Temporal pavlovian conditioning of a model spiking neural network for discrimination sequences of short time intervals.

Journal of computational neuroscience Feb 1, 2025
The brain's ability to learn and distinguish rapid sequences of events is essential for timing-dependent tasks, such as those in sports and music. However, the mechanisms underlying this ability remain an active area of research. Here, we present a P...
Discrimination, Psychological Nerve Net Conditioning, Classical Time Perception Action Potentials Neurons Humans Neural Networks, Computer Animals Time Factors Models, Neurological
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