AIMC Topic: Neurons

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Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines.

STAR protocols Aug 12, 2021
When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learn...
Vision, Ocular Macaca mulatta Visual Cortex Magnetic Resonance Imaging Signal Processing, Computer-Assisted Neurons Male Support Vector Machine Animals
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Dendritic normalisation improves learning in sparsely connected artificial neural networks.

PLoS computational biology Aug 9, 2021
Artificial neural networks, taking inspiration from biological neurons, have become an invaluable tool for machine learning applications. Recent studies have developed techniques to effectively tune the connectivity of sparsely-connected artificial n...
Humans Neural Networks, Computer Machine Learning Models, Neurological Action Potentials Neurons Animals Deep Learning Computational Biology Dendrites Nerve Net Stochastic Processes
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Quantum neuron with real weights.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2021
This paper proposes a new model of a real weights quantum neuron exploiting the so-called quantum parallelism which allows for an exponential speedup of computations. The quantum neurons were trained in a classical-quantum approach, considering the d...
Databases, Factual Neurons Neural Networks, Computer Algorithms
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Parallel and Recurrent Cascade Models as a Unifying Force for Understanding Subcellular Computation.

Neuroscience Aug 3, 2021
Neurons are very complicated computational devices, incorporating numerous non-linear processes, particularly in their dendrites. Biophysical models capture these processes directly by explicitly modelling physiological variables, such as ion channel...
Models, Neurological Neurons Dendrites Biophysics Neural Networks, Computer Artificial Intelligence
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A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging.

Nature neuroscience Aug 2, 2021
Inference of action potentials ('spikes') from neuronal calcium signals is complicated by the scarcity of simultaneous measurements of action potentials and calcium signals ('ground truth'). In this study, we compiled a large, diverse ground truth da...
Deep Learning Databases, Factual Calcium Mice Artifacts Brain Models, Neurological Neuroimaging Animals Action Potentials Neurons Zebrafish
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The Emerging Role of Long Non-Coding RNAs and MicroRNAs in Neurodegenerative Diseases: A Perspective of Machine Learning.

Biomolecules Jul 31, 2021
Neurodegenerative diseases (NDs) are characterized by progressive neuronal dysfunction and death of brain cells population. As the early manifestations of NDs are similar, their symptoms are difficult to distinguish, making the timely detection and d...
Neurons Alzheimer Disease Information Dissemination Software Databases, Genetic Amyotrophic Lateral Sclerosis MicroRNAs Gene Expression Regulation Humans Computational Biology Internet Parkinson Disease Machine Learning RNA, Long Noncoding Nerve Tissue Proteins Signal Transduction
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Predicting individual neuron responses with anatomically constrained task optimization.

Current biology : CB Jul 28, 2021
Artificial neural networks trained to solve sensory tasks can develop statistical representations that match those in biological circuits. However, it remains unclear whether they can reproduce properties of individual neurons. Here, we investigated ...
Movement Drosophila Animals Neurons Neural Networks, Computer
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Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2021
Biological neuronal networks (BNNs) are a source of inspiration and analogy making for researchers that focus on artificial neuronal networks (ANNs). Moreover, neuroscientists increasingly use ANNs as a model for the brain. Despite certain similariti...
Neurons Neurobiology Neural Networks, Computer Algorithms
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Spin-Orbit Torque-Induced Domain Nucleation for Neuromorphic Computing.

Advanced materials (Deerfield Beach, Fla.) Jul 24, 2021
Neuromorphic computing has become an increasingly popular approach for artificial intelligence because it can perform cognitive tasks more efficiently than conventional computers. However, it remains challenging to develop dedicated hardware for arti...
Algorithms Cobalt Computer Simulation Torque Neural Networks, Computer Deep Learning Platinum Computer Systems Neurons Copper
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Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network.

Sensors (Basel, Switzerland) Jul 19, 2021
The paper proposes a new method for deep learning and knowledge discovery in a brain-inspired Spiking Neural Networks (SNN) architecture that enhances the model's explainability while learning from streaming spatiotemporal brain data (STBD) in an inc...
Neural Networks, Computer Brain Deep Learning Electroencephalography Neurons Humans
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