Neural engineering (also known as neuroengineering) is a discipline within biomedical engineering that uses engineering techniques to understand, repair...

Neural Engineering Object (Nengo) is a graphical and scripting software for simulating large-scale neural systems. As the neural network software Nengo...

Neural tissue engineering is a specific sub-field of tissue engineering. Neural tissue engineering is primarily a search for strategies to eliminate inflammation...

(2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 1–15. Bibcode:2016JNEng..13e1001F. doi:10.1088/1741-2560/13/5/051001...

for research.[citation needed] Neural engineering (also known as neuroengineering) is a discipline that uses engineering techniques to understand, repair...

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function...

Neural dust is a hypothetical class of nanometer-sized devices operated as wirelessly powered nerve sensors; it is a type of brain–computer interface....

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A neural circuit is a population of neurons interconnected by synapses to carry out a specific function when activated. Multiple neural circuits interconnect...

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Physics-informed neural networks (PINNs), also referred to as Theory-Trained Neural Networks (TTNs), are a type of universal function approximators that...

Biomedical engineering: application of engineering principles and design concepts to medicine and biology for healthcare purposes. Tissue engineering Neural engineering...

Spiking neural networks (SNNs) are artificial neural networks (ANN) that more closely mimic natural neural networks. In addition to neuronal and synaptic...

Recurrent neural networks (RNNs) are a class of artificial neural networks for sequential data processing. Unlike feedforward neural networks, which process...

12: 953. doi:10.3389/fnins.2018.00953. PMC 6341218. PMID 30697140. "Neural Engineering – EMBS". Archived from the original on 2022-06-19. Retrieved 2021-11-11...

self-paced motor imagery classification with C-LSTM". Journal of Neural Engineering. 17 (1): 016041. Bibcode:2020JNEng..17a6041F. doi:10.1088/1741-2552/ab57c0...

Brain implants, often referred to as neural implants, are technological devices that connect directly to a biological subject's brain – usually placed...

engineering. This activation function was introduced by Kunihiko Fukushima in 1969 in the context of visual feature extraction in hierarchical neural...

era, engineering is generally considered to consist of the major primary branches of chemical engineering, civil engineering, electrical engineering, and...

into asynchronous circuits, low-power electronics and neural engineering, where the Spiking Neural Network Architecture (SpiNNaker) project is delivering...

Wireheading is a term associated with fictional or futuristic applications of brain stimulation reward, the act of directly triggering the brain's reward...

A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization...

Packaging engineering Biological engineering Agricultural engineering Bionics Genetic engineering Biomedical engineering Metabolic engineering Neural engineering...

via electroencephalography: a state-of-the-art review". Journal of Neural Engineering. 12 (5): 051001. Bibcode:2015JNEng..12e1001J. doi:10.1088/1741-2560/12/5/051001...

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A neurally controlled animat is the conjunction of a cultured neuronal network a virtual or physical robotic body, the Animat, "living" in a virtual computer...

Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by neural circuitry...

genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology...