AIMC Topic: Models, Neurological

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Inertial primal-dual projection neurodynamic approaches for constrained convex optimization problems and application to sparse recovery.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2025
Second-order (inertial) neurodynamic approaches are excellent tools for solving convex optimization problems in an accelerated manner, while the majority of existing approaches to neurodynamic approaches focus on unconstrained and simple constrained ...
Models, Neurological Humans Neural Networks, Computer Algorithms Computer Simulation
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Towards realistic simulation of disease progression in the visual cortex with CNNs.

Scientific reports Feb 19, 2025
Convolutional neural networks (CNNs) and mammalian visual systems share architectural and information processing similarities. We leverage these parallels to develop an in-silico CNN model simulating diseases affecting the visual system. This model a...
Visual Cortex Models, Neurological Humans Disease Progression Alzheimer Disease Neural Networks, Computer Computer Simulation Neuronal Plasticity
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Compression-enabled interpretability of voxelwise encoding models.

PLoS computational biology Feb 19, 2025
Voxelwise encoding models based on convolutional neural networks (CNNs) are widely used as predictive models of brain activity evoked by natural movies. Despite their superior predictive performance, the huge number of parameters in CNN-based models ...
Algorithms Brain Models, Neurological Principal Component Analysis Computational Biology Humans Neural Networks, Computer Data Compression
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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...
Deep Learning Rats Neurons Nonlinear Dynamics Models, Neurological Computer Simulation Neural Networks, Computer Algorithms Animals
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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...
Robotics Humans Hippocampus Brain Memory Neural Networks, Computer Learning Emotions Models, Neurological
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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...
Nerve Net Animals Neural Networks, Computer Models, Neurological Algorithms Neurons
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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...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Algorithms Humans Electroencephalography Neural Networks, Computer Brain Models, Neurological Seizures Machine Learning
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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...
Animals Male Prefrontal Cortex Neural Networks, Computer Decision Making Neurons Nerve Net Cognition Models, Neurological Photic Stimulation Macaca mulatta
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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...
Unsupervised Machine Learning Humans Deep Learning Models, Neurological Neural Networks, Computer
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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 Action Potentials Neural Networks, Computer Algorithms Neurons Pattern Recognition, Automated Neuronal Plasticity Models, Neurological
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