AIMC Topic: Models, Neurological

Clear Filters Showing 61 to 70 of 1162 articles

Memristor-based circuit design of interweaving mechanism of emotional memory in a hippocamp-brain emotion learning model.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2025
Endowing robots with human-like emotional and cognitive abilities has garnered widespread attention, driving deep investigations into the complexities of these processes. However, few studies have examined the intricate circuits that govern the inter...
Models, Neurological Brain Robotics Learning Emotions Hippocampus Memory Humans Neural Networks, Computer
View on PubMed DOI

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...
Models, Neurological Neurons Nerve Net Neural Networks, Computer Algorithms Animals
View on PubMed DOI

BrainForest: Neuromorphic Multiplier-Less Bit-Serial Weight-Memory-Optimized 1024-Tree Brain-State Classification Processor.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
Personalized brain implants have the potential to revolutionize the treatment of neurological disorders and augment cognition. Medical implants that deliver therapeutic stimulation in response to detected seizures have already been deployed for the t...
Seizures Signal Processing, Computer-Assisted Brain-Computer Interfaces Models, Neurological Electroencephalography Humans Neural Networks, Computer Machine Learning Algorithms Brain
View on PubMed DOI

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...
Decision Making Neurons Nerve Net Photic Stimulation Macaca mulatta Animals Neural Networks, Computer Prefrontal Cortex Male Cognition Models, Neurological
View on PubMed DOI

PrediRep: Modeling hierarchical predictive coding with an unsupervised deep learning network.

Neural networks : the official journal of the International Neural Network Society Feb 8, 2025
Hierarchical predictive coding (hPC) provides a compelling framework for understanding how the cortex predicts future sensory inputs by minimizing prediction errors through an internal generative model of the external world. Existing deep learning mo...
Models, Neurological Unsupervised Machine Learning Humans Neural Networks, Computer Deep Learning
View on PubMed DOI

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...
Neuronal Plasticity Models, Neurological Action Potentials Humans Neural Networks, Computer Algorithms Neurons Pattern Recognition, Automated
View on PubMed DOI

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 Computer Simulation Animals Models, Neurological Humans Action Potentials Neural Networks, Computer Neurons Algorithms
View on PubMed DOI

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
View on PubMed DOI

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...
Models, Neurological Action Potentials Humans Neurons Neural Networks, Computer
View on PubMed DOI

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...
Movement Motor Cortex Macaca mulatta Neurons Psychomotor Performance Neural Networks, Computer Animals Male Spatio-Temporal Analysis Models, Neurological Action Potentials
View on PubMed DOI
Popular Topics
Recent Journals