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Neural engineering (also known as neuroengineering) is a discipline within biomedical engineering that uses engineering techniques to understand, repair, replace, or enhance neural systems. Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs (Hetling, 2008).
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Neuralengineering (also known as neuroengineering) is a discipline within biomedical engineering that uses engineering techniques to understand, repair...
NeuralEngineering Object (Nengo) is a graphical and scripting software for simulating large-scale neural systems. As the neural network software Nengo...
for research.[citation needed] Neuralengineering (also known as neuroengineering) is a discipline that uses engineering techniques to understand, repair...
Neural tissue engineering is a specific sub-field of tissue engineering. Neural tissue engineering is primarily a search for strategies to eliminate inflammation...
A neural circuit is a population of neurons interconnected by synapses to carry out a specific function when activated. Multiple neural circuits interconnect...
Engineering physics, or engineering science, refers to the study of the combined disciplines of physics, mathematics, chemistry, biology, and engineering...
Biomedical engineering: application of engineering principles and design concepts to medicine and biology for healthcare purposes. Tissue engineeringNeural engineering...
Spiking neural networks (SNNs) are artificial neural networks (ANN) that more closely mimic natural neural networks. In addition to neuronal and synaptic...
Brain implants, often referred to as neural implants, are technological devices that connect directly to a biological subject's brain – usually placed...
era, engineering is generally considered to consist of the major primary branches of chemical engineering, civil engineering, electrical engineering, and...
Neural dust is a hypothetical class of nanometer-sized devices operated as wirelessly powered nerve sensors; it is a type of brain–computer interface....
A recurrent neural network (RNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between...
12: 953. doi:10.3389/fnins.2018.00953. PMC 6341218. PMID 30697140. "NeuralEngineering – EMBS". Archived from the original on 2022-06-19. Retrieved 2021-11-11...
self-paced motor imagery classification with C-LSTM". Journal of NeuralEngineering. 17 (1): 016041. Bibcode:2020JNEng..17a6041F. doi:10.1088/1741-2552/ab57c0...
Convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel)...
via electroencephalography: a state-of-the-art review". Journal of NeuralEngineering. 12 (5): 051001. Bibcode:2015JNEng..12e1001J. doi:10.1088/1741-2560/12/5/051001...
optical neural interface: in vivo control of rodent motor cortex with integrated fiberoptic and optogenetic technology". Journal of NeuralEngineering. 4 (3):...
into asynchronous circuits, low-power electronics and neuralengineering, where the Spiking Neural Network Architecture (SpiNNaker) project is delivering...
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...
The Computation and Neural Systems (CNS) program was established at the California Institute of Technology in 1986 with the goal of training Ph.D. students...
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