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...

constructs. Neural engineering can assist with numerous things, including the future development of prosthetics. For example, cognitive neural prosthetics...

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

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...

(neurotechnology company) Lie detection Microwave auditory effect Neural engineering Neuralink Neurorobotics Neurostimulation Nootropic Paradromics Precision...

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

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

(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...

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

half-wave rectification in electrical engineering. ReLU is one of the most popular activation function for artificial neural networks, and finds application...

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

Recurrent neural networks (RNNs) are a class of artificial neural network commonly used for sequential data processing. Unlike feedforward neural networks...

Spiking neural networks (SNNs) are artificial neural networks (ANN) that more closely mimic natural neural networks. These models leverage timing of discrete...

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...

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

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

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

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

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

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

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...

of Princeton University, most widely known for his study of associative neural networks in 1982. He is known for the development of the Hopfield network...

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...

The Computation and Neural Systems (CNS) program was established at the California Institute of Technology in 1986 with the goal of training PhD students...

A feedforward neural network (FNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between...

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

optical neural interface: in vivo control of rodent motor cortex with integrated fiberoptic and optogenetic technology". Journal of Neural Engineering. 4 (3):...

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

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