AIMC Topic: Neurons

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Unveiling CNS cell morphology with deep learning: A gateway to anti-inflammatory compound screening.

PloS one Mar 21, 2025
Deciphering the complex relationships between cellular morphology and phenotypic manifestations is crucial for understanding cell behavior, particularly in the context of neuropathological states. Despite its importance, the application of advanced i...
Mice Neuroinflammatory Diseases Microglia Deep Learning Humans Image Processing, Computer-Assisted Central Nervous System Anti-Inflammatory Agents Animals Drug Evaluation, Preclinical Neurons
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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 Animals Humans Neural Pathways Nerve Net Neural Networks, Computer Models, Neurological Neurons
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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...
Neurons Reward Corpus Striatum Thalamus Dopaminergic Neurons Animals Deep Learning Models, Neurological Algorithms Brain Neural Networks, Computer
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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 ...
Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Silicon
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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...
Models, Neurological Neurons Nerve Net Humans Neural Networks, Computer Recurrent Neural Networks
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A general framework for interpretable neural learning based on local information-theoretic goal functions.

Proceedings of the National Academy of Sciences of the United States of America Mar 5, 2025
Despite the impressive performance of biological and artificial networks, an intuitive understanding of how their local learning dynamics contribute to network-level task solutions remains a challenge to this date. Efforts to bring learning to a more...
Models, Neurological Neurons Memory Information Theory Neural Networks, Computer Humans Algorithms Learning
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A deep learning framework for automated and generalized synaptic event analysis.

eLife Mar 5, 2025
Quantitative information about synaptic transmission is key to our understanding of neural function. Spontaneously occurring synaptic events carry fundamental information about synaptic function and plasticity. However, their stochastic nature and lo...
Synapses Synaptic Transmission Deep Learning Neurons Animals
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Temporal Contrastive Learning through implicit non-equilibrium memory.

Nature communications Mar 4, 2025
The backpropagation method has enabled transformative uses of neural networks. Alternatively, for energy-based models, local learning methods involving only nearby neurons offer benefits in terms of decentralized training, and allow for the possibili...
Humans Models, Neurological Neurons Memory Neural Networks, Computer Learning Feedback
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A deep learning strategy to identify cell types across species from high-density extracellular recordings.

Cell Feb 28, 2025
High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals an...
Cerebellum Interneurons Optogenetics Purkinje Cells Rats Mice, Inbred C57BL Animals Neurons Male Deep Learning Mice
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Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Synaptic plasticity plays a critical role in the expression power of brain neural networks. Among diverse plasticity rules, synaptic scaling presents indispensable effects on homeostasis maintenance and synaptic strength regulation. In the current mo...
Neuronal Plasticity Models, Neurological Neurons Action Potentials Neural Networks, Computer Computer Simulation Synapses Algorithms Humans Learning Animals
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