AIMC Topic: Models, Neurological

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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...
Neuronal Plasticity Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Algorithms
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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...
Visual Pathways Geniculate Bodies Visual Perception Mice Models, Neurological Goals Neural Networks, Computer Animals Deep Learning
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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...
Male Mice Computational Biology Models, Neurological Purkinje Cells Algorithms Animals Cerebellum Mice, Inbred C57BL Reward Supervised Machine Learning Reinforcement, Psychology
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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...
Photic Stimulation Visual Cortex Computational Biology Motion Perception Neural Networks, Computer Models, Neurological Animals Retina Mice
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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 ...
Epilepsies, Partial Nerve Net Thalamus Computer Simulation Models, Neurological Action Potentials Electroencephalography Cerebral Cortex Humans Brain Waves Neural Networks, Computer
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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 Neural Pathways Animals Nerve Net Models, Neurological Neurons Humans Neural Networks, Computer
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Interpretable deep learning for deconvolutional analysis of neural signals.

Neuron Mar 12, 2025
The widespread adoption of deep learning to model neural activity often relies on "black-box" approaches that lack an interpretable connection between neural activity and network parameters. Here, we propose using algorithm unrolling, a method for in...
Corpus Striatum Thalamus Dopaminergic Neurons Brain Animals Deep Learning Models, Neurological Neurons Reward Neural Networks, Computer Algorithms
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FPGA implementation of a complete digital spiking silicon neuron for circuit design and network approach.

Scientific reports Mar 12, 2025
When attempting to replicate the same biological spiking neuron model actions of the human brain, the spiking neuron model methodology and hardware realization design for the nervous system of the brain are crucial considerations. This work provides ...
Humans Neural Networks, Computer Models, Neurological Action Potentials Neurons Silicon
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A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations.

Nature human behaviour Mar 7, 2025
This study introduces a unified computational framework connecting acoustic, speech and word-level linguistic structures to study the neural basis of everyday conversations in the human brain. We used electrocorticography to record neural signals acr...
Adult Comprehension Humans Male Language Brain Speech Perception Speech Models, Neurological Female Electrocorticography Brain Mapping Young Adult Natural Language Processing
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Structure of activity in multiregion recurrent neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 7, 2025
Neural circuits comprise multiple interconnected regions, each with complex dynamics. The interplay between local and global activity is thought to underlie computational flexibility, yet the structure of multiregion neural activity and its origins i...
Humans Neural Networks, Computer Models, Neurological Neurons Nerve Net Recurrent Neural Networks
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