AIMC Topic: Models, Neurological

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Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition.

Scientific reports Jul 2, 2025
This paper presents a computational model of visual working memory (VWM) that simulates the processing of spatially distributed objects and their features. The model emphasizes the prioritization of object-related information before feature-related p...
Visual Perception Models, Neurological Humans Memory, Short-Term Neural Networks, Computer Computer Simulation
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Keypoint-based modeling reveals fine-grained body pose tuning in superior temporal sulcus neurons.

Nature communications Jul 1, 2025
Body pose and orientation serve as vital visual signals in primate non-verbal social communication. Leveraging deep learning algorithms that extract body poses from videos of behaving monkeys, applied to a monkey avatar, we investigated neural tuning...
Magnetic Resonance Imaging Posture Models, Neurological Male Deep Learning Temporal Lobe Neurons Visual Perception Macaca mulatta Animals
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Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity.

Nature communications Jul 1, 2025
Many neural computations emerge from self-sustained patterns of activity in recurrent neural circuits, which rely on balanced excitation and inhibition. Neuromorphic electronic circuits represent a promising approach for implementing the brain's comp...
Humans Neural Networks, Computer Neurons Nerve Net Neuronal Plasticity Brain Models, Neurological Animals Action Potentials
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A simplified minimodel of visual cortical neurons.

Nature communications Jul 1, 2025
Artificial neural networks (ANNs) have been shown to predict neural responses in primary visual cortex (V1) better than classical models. However, this performance often comes at the expense of simplicity and interpretability. Here we introduce a new...
Photic Stimulation Neural Networks, Computer Visual Cortex Animals Primary Visual Cortex Mice Models, Neurological Neurons
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Neurons throughout the brain embed robust signatures of their anatomical location into spike trains.

eLife Jun 27, 2025
Neurons in the brain are known to encode diverse information through their spiking activity, primarily reflecting external stimuli and internal states. However, whether individual neurons also embed information about their own anatomical location wit...
Models, Neurological Action Potentials Mice, Inbred C57BL Neurons Animals Male Mice Machine Learning Brain
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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.

eLife Jun 16, 2025
The brain is thought to construct an optimal internal model representing the probabilistic structure of the environment accurately. Evidence suggests that spontaneous brain activity gives such a model by cycling through activity patterns evoked by pr...
Learning Animals Models, Neurological Action Potentials Neurons Macaca mulatta Cerebral Cortex Nerve Net
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Bio-Inspired spiking tactile sensing system for robust texture recognition across varying scanning speeds in passive touch.

Biological cybernetics Jun 14, 2025
Tactile sensing plays a crucial role in texture recognition, but variations in scanning speed pose a significant challenge for accurate discrimination. Previous studies have demonstrated that scanning speed alters the frequency of texture-induced vib...
Models, Neurological Humans Action Potentials Animals Touch Touch Perception Neurons Mechanoreceptors
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Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex.

Nature neuroscience Jun 6, 2025
From visual perception to language, sensory stimuli change their meaning depending on previous experience. Recurrent neural dynamics can interpret stimuli based on externally cued context, but it is unknown whether they can compute and employ interna...
Male Mice Models, Neurological Neural Networks, Computer Mice, Inbred C57BL Gyrus Cinguli Animals Neurons Photic Stimulation Cerebral Cortex Space Perception
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Fusing multisensory signals across channels and time.

PLoS computational biology Jun 6, 2025
Animals continuously combine information across sensory modalities and time, and use these combined signals to guide their behaviour. Picture a predator watching their prey sprint and screech through a field. To date, a range of multisensory algorith...
Animals Computational Biology Models, Neurological Neural Networks, Computer Algorithms
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Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics Jun 4, 2025
During walking and running, animals display rich and coordinated motor patterns that are generated and controlled within the central nervous system. Previous computational and experimental results suggest that the balance between excitation and inhib...
Neurons Spinal Cord Locomotion Computer Simulation Nerve Net Humans Neural Inhibition Models, Neurological Neural Networks, Computer Action Potentials
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