AIMC Topic: Models, Neurological

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Concept transfer of synaptic diversity from biological to artificial neural networks.

Nature communications Jun 2, 2025
Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neuron to model the learning abilities of biological nerve cells. However, while neuroscience has provi...
Synapses Humans Nerve Net Neural Networks, Computer Animals Neuronal Plasticity Models, Neurological Neurons
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Modeling Normal and Abnormal Circuit Development with Recurrent Neural Networks.

Cold Spring Harbor perspectives in biology Jun 2, 2025
Neural development must construct neural circuits that can perform the computations necessary for survival. However, many theoretical models of development do not explicitly address the computational goals of the resulting networks, or computations t...
Neural Networks, Computer Animals Models, Neurological Nerve Net Recurrent Neural Networks Humans
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Egocentric value maps of the near-body environment.

Nature neuroscience Jun 2, 2025
Body-part-centered response fields are pervasive in single neurons, functional magnetic resonance imaging, electroencephalography and behavior, but there is no unifying formal explanation of their origins and role. In the present study, we used reinf...
Personal Space Models, Neurological Brain Mapping Reward Animals Male Environment Magnetic Resonance Imaging Space Perception Reinforcement, Psychology Humans Neural Networks, Computer
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Neuron-astrocyte associative memory.

Proceedings of the National Academy of Sciences of the United States of America May 23, 2025
Astrocytes, the most abundant type of glial cell, play a fundamental role in memory. Despite most hippocampal synapses being contacted by an astrocyte, there are no current theories that explain how neurons, synapses, and astrocytes might collectivel...
Astrocytes Neurons Synapses Hippocampus Humans Animals Models, Neurological Memory
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Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.

Neurobiology of disease May 20, 2025
Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treated with benzodiazepines which enhance GABA receptor (GABAR) conductance. Despite widespread use, benzodiazepines fail in over one-third of patients, p...
Chlorides Nerve Net Receptors, GABA-A Status Epilepticus Electroencephalography Anticonvulsants Benzodiazepines Animals Models, Neurological Action Potentials Humans Neural Networks, Computer
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Automated inference of disease mechanisms in patient-hiPSC-derived neuronal networks.

Communications biology May 20, 2025
Human induced pluripotent stem cells (hiPSCs)-derived neuronal networks on multi-electrode arrays (MEAs) are a powerful tool for studying neurological disorders. The electric activity patterns of these networks differ between healthy and patient-deri...
Nervous System Diseases Nerve Net Induced Pluripotent Stem Cells Computer Simulation Models, Neurological Neurons Humans Machine Learning
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Parvalbumin neurons and cortical coding of dynamic stimuli: a network model.

Journal of neurophysiology May 13, 2025
Cortical circuits feature both excitatory and inhibitory cells that underlie the encoding of dynamic sensory stimuli, e.g., speech, music, odors, and natural scenes. Although previous studies have shown that inhibition plays an important role in shap...
Mice Neuronal Plasticity Models, Neurological Neural Networks, Computer Animals Nerve Net Auditory Perception Optogenetics Parvalbumins Action Potentials Neurons Auditory Cortex
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Cortical-subcortical neural networks for motor learning and storing sequence memory.

Neural networks : the official journal of the International Neural Network Society May 7, 2025
Motor sequence learning relies on the synergistic collaboration of multiple brain regions. However, most existing models for motor sequence learning primarily focus on functional-level analyses of sequence memory mechanisms, providing limited neuroph...
Humans Cerebral Cortex Neural Pathways Nerve Net Models, Neurological Memory Neural Networks, Computer Memory, Short-Term Learning Thalamus Neurons Prefrontal Cortex
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Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 7, 2025
The programming of clinical deep brain stimulation (DBS) systems involves numerous combinations of stimulation parameters, such as stimulus amplitude, pulse width, and frequency. As more complex electrode designs, such as directional electrodes, are ...
Deep Brain Stimulation Computer Simulation Electrodes, Implanted Axons Models, Neurological Humans Finite Element Analysis Neurons Neural Networks, Computer Algorithms
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How Can Anomalous-Diffusion Neural Networks Under Connectomics Generate Optimized Spatiotemporal Dynamics.

IEEE transactions on neural networks and learning systems May 2, 2025
Spatiotemporal dynamics in the brain have been recognized as strongly related to the formation of perceived and cognitive diseases, such as delusions and hallucinations in Alzheimer's disease. However, two practical considerations are rarely mentione...
Spatio-Temporal Analysis Algorithms Models, Neurological Nonlinear Dynamics Neurons Brain Humans Connectome Computer Simulation Nerve Net Neural Networks, Computer
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