AIMC Topic: Models, Neurological

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Heterogeneous quantization regularizes spiking neural network activity.

Scientific reports Apr 23, 2025
The learning and recognition of object features from unregulated input has been a longstanding challenge for artificial intelligence systems. Brains, on the other hand, are adept at learning stable sensory representations given noisy observations, a ...
Neurons Nerve Net Models, Neurological Action Potentials Humans Neural Networks, Computer Animals
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From social effort to social behavior: An integrated neural model for social motivation.

Neuroscience and biobehavioral reviews Apr 17, 2025
As humans rely on social groups for survival, social motivation is central to behavior and well-being. Here we define social motivation as the effort that initiates and directs behavior towards social outcomes, with the goal of satisfying our fundame...
Models, Neurological Motivation Social Behavior Humans Brain Animals
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Neural models for detection and classification of brain states and transitions.

Communications biology Apr 11, 2025
Exploring natural or pharmacologically induced brain dynamics, such as sleep, wakefulness, or anesthesia, provides rich functional models for studying brain states. These models allow detailed examination of unique spatiotemporal neural activity patt...
Neural Networks, Computer Male Rats Models, Neurological Algorithms Brain Animals Cerebral Cortex Wakefulness Sleep
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Scalable Multi-FPGA HPC Architecture for Associative Memory System.

IEEE transactions on biomedical circuits and systems Apr 2, 2025
Associative memory is a cornerstone of cognitive intelligence within the human brain. The Bayesian confidence propagation neural network (BCPNN), a cortex-inspired model with high biological plausibility, has proven effective in emulating high-level ...
Algorithms Models, Neurological Bayes Theorem Memory Humans Neural Networks, Computer
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RRAM-Based Spiking Neural Network With Target-Modulated Spike-Timing-Dependent Plasticity.

IEEE transactions on biomedical circuits and systems Apr 2, 2025
The spiking neural network (SNN) training with spike timing-dependent plasticity (STDP) for image classification usually requires a lot of neurons to extract representative features and(or) needs an external classifier. Conventional bio-inspired lear...
Models, Neurological Humans Action Potentials Neural Networks, Computer Neurons Algorithms Neuronal Plasticity
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High-level visual processing in the lateral geniculate nucleus revealed using goal-driven deep learning.

Journal of neuroscience methods Mar 21, 2025
BACKGROUND: The Lateral Geniculate Nucleus (LGN) is an essential contributor to high-level visual processing despite being an early subcortical area in the visual system. Current LGN computational models focus on its basic properties, with less empha...
Geniculate Bodies Visual Perception Visual Pathways Models, Neurological Animals Goals Deep Learning Neural Networks, Computer Mice
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Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning.

PLoS computational biology Mar 17, 2025
Although the cerebellum is typically associated with supervised learning algorithms, it also exhibits extensive involvement in reward processing. In this study, we investigated the cerebellum's role in executing reinforcement learning algorithms, wit...
Algorithms Reinforcement, Psychology Animals Purkinje Cells Male Supervised Machine Learning Models, Neurological Mice Cerebellum Mice, Inbred C57BL Computational Biology Reward
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Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes.

PLoS computational biology Mar 17, 2025
The ability to process visual stimuli rich with motion represents an essential skill for animal survival and is largely already present at the onset of vision. Although the exact mechanisms underlying its maturation remain elusive, spontaneous activi...
Models, Neurological Retina Photic Stimulation Mice Computational Biology Neural Networks, Computer Animals Visual Cortex Motion Perception
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Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model.

International journal of neural systems Mar 15, 2025
The electrophysiological findings have shown that epileptiform spikes triggering sleep spindles within 1[Formula: see text]s across multiple channels are commonly observed during sleep in focal epilepsy (FE). Such spatio-temporal couplings of spikes ...
Thalamus Epilepsies, Partial Cerebral Cortex Brain Waves Humans Action Potentials Nerve Net Neural Networks, Computer Electroencephalography Computer Simulation Models, Neurological
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Sparse connectivity enables efficient information processing in cortex-like artificial neural networks.

Frontiers in neural circuits Mar 13, 2025
Neurons in cortical networks are very sparsely connected; even neurons whose axons and dendrites overlap are highly unlikely to form a synaptic connection. What is the relevance of such sparse connectivity for a network's function? Surprisingly, it h...
Cerebral Cortex Nerve Net Neural Pathways Humans Animals Neural Networks, Computer Models, Neurological Neurons
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