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Hypothetical reconstruction of information from the brain
Neural decoding is a neuroscience field concerned with the hypothetical reconstruction of sensory and other stimuli from information that has already
Neural_decoding
Algorithm for modelling sequential data
generation is called decoding. Hyperscalers serving large Transformer models may use disaggregated inference, wherein prefilling and decoding are performed on
Transformer_(deep_learning)
American-born computer scientist
Shaikhouni, A.; Donoghue, J.P. (2003). "Neural decoding of cursor motion using a Kalman filter". Advances in Neural Information Processing Systems 15 (NIPS)
Michael_J._Black
Class of artificial neural network
In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where
Recurrent_neural_network
Type of artificial neural network
In machine learning, a neural field (also known as implicit neural representation, neural implicit, or coordinate-based neural network), is a mathematical
Neural_field
System-on-a-chip series designed by Apple Inc.
decoding. Hardware-accelerated H.264, HEVC, ProRes, and ProRes RAW Video decode engine Video encode engine ProRes encode and decode engine AV1 decode
Apple_M6
Method by which information is represented in the brain
the development of large-scale neural recording and decoding technologies, researchers have begun to crack the neural code and have already provided the
Neural_coding
Machine translation using artificial neural networks
outputs during, this way of decoding is called auto-regressive. In 1987, Robert B. Allen demonstrated the use of feed-forward neural networks for translating
Neural_machine_translation
American brain-computer interface company
procedures. The system achieved high-resolution neural recordings and supported motor and sensory decoding as well as focal stimulation — at performance
Precision_Neuroscience
Orcioni, A. Paffi, F. Camera, F. Apollonio, and M. Liberti, “Automatic decoding of input sinusoidal signal in a neuron model: Improved SNR spectrum by
Homomorphic_filtering
Connection between brain and computer
Anumanchipalli GK, Chartier J, Chang EF (April 2019). "Speech synthesis from neural decoding of spoken sentences". Nature. 568 (7753): 493–498. Bibcode:2019Natur
Brain–computer_interface
Artificial neural network that mimics neurons
Computational neuroscience Neural coding Neural correlate Neural decoding Neuroethology Neuroinformatics Models of neural computation Motion perception
Spiking_neural_network
System developed by Google
artificial neural network to increase fluency and accuracy in Google Translate. The neural network consisted of two main blocks, an encoder and a decoder, both
Google Neural Machine Translation
Google_Neural_Machine_Translation
Machine learning technique
permutation-invariant. For decoder self-attention, all-to-all attention is inappropriate, because during the autoregressive decoding process, the decoder cannot attend
Attention_(machine_learning)
Hypothetical internal cognitive symbol that represents external reality
ways to approach this: restricted decoding and unrestricted decoding. Here's how they differ: Restricted decoding is when scientists focus on brain activity
Mental_representation
Neuronal events sufficient for a specific conscious percept
(cognitive architecture) Models of neural computation Multiple drafts model Münchhausen trilemma Neural coding Neural decoding Neural substrate Philosophy of mind
Neural correlates of consciousness
Neural_correlates_of_consciousness
Disorder impairing normal brain function
motor, and cognitive control networks. Other fMRI studies found reduced neural activation and coactivation in the anterior insula and dorsal anterior cingulate
Functional neurological symptom disorder
Functional_neurological_symptom_disorder
Statistical law in machine learning
In machine learning, a neural scaling law is an empirical scaling law that describes how neural network performance changes as key factors are scaled up
Neural_scaling_law
Discipline in biomedical engineering
signals, neural engineers must translate the voltages across neural membranes into corresponding information, a process known as neural decoding. The corresponding
Neural_engineering
2017 paper conceptualizing the transformer-based deep learning architecture
large neural networks. In spring 2017, before the "Attention is All you need" preprint was published, one of the co-authors applied the "decoder-only"
Attention_Is_All_You_Need
Family of machine learning approaches
through a source sentence during decoding a translation". A problem with seq2seq models at this point was that recurrent neural networks are difficult to parallelize
Seq2seq
Brainwaves, repetitive patterns of neural activity in the central nervous system
Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory
Neural_oscillation
Deep learning generative model to encode data representation
formulation of variational Bayesian methods, connecting a neural encoder network to its decoder through a probabilistic latent space (for example, as a
Variational_autoencoder
Psychological phenomenon
uttered. Such linear mapping from EEG to stimulus is an example of neural decoding. A major problem however is the many variations that the very same
Imagined_speech
Use of fMRI to decode brain stimuli
studies differ in the type of decoding (i.e. classification, identification and reconstruction) employed, the target (i.e. decoding visual patterns, auditory
Brain-reading
Branch of machine learning
machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
Deep_learning
Greek-American computational neuroscientist
of Chicago. He has worked on neural decoding for brain-computer interfaces. This includes a 2002 demonstration of neural control of a computer cursor
Nicholas_G._Hatsopoulos
Cycle through all length-k sequences
is known as the de Bruijn decoding problem. Efficient O ( n log n ) {\displaystyle \color {Blue}O(n\log n)} decoding algorithms exist for special
De_Bruijn_sequence
Voice conversion software
target voice database for the most similar speech units; a vocoder or neural decoder that synthesizes waveform output from the retrieved representations
Retrieval-based Voice Conversion
Retrieval-based_Voice_Conversion
Algorithm that estimates unknowns from a series of measurements over time
Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding (Thesis). Providence, RI, USA: Brown University. doi:10.26300/nhfp-xv22
Kalman_filter
System of rules to convert information into another form or representation
SECAM Other examples of decoding include: Decoding (computer science) Decoding methods, methods in communication theory for decoding codewords sent over a
Code
2009 book by Iain McGilchrist
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
The_Master_and_His_Emissary
System-on-a-chip designed by Apple Inc.
decoding support for HEVC, H.264, MPEG‑4 Part 2, and Motion JPEG. The A11 also includes dedicated neural network hardware that Apple calls a "Neural Engine"
Apple_A11
Neural network that learns efficient data encoding in an unsupervised manner
functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation
Autoencoder
Population of nervous system cells involved in a particular neural computation
Demonstrations of decoding of neuronal ensemble activity can be subdivided into two major classes: off-line decoding and on-line (real time) decoding. In the off-line
Neuronal_ensemble
Decoded Neurofeedback (DecNef) is the process of inducing knowledge in a subject by increasing neural activation in predetermined regions in the brain
Decoded_neurofeedback
Type of data compression
"GST: GPU-decodable supercompressed textures". ACM Transactions on Graphics. 35 (6): 1–10. doi:10.1145/2980179.2982439. "Nvidia Uses Neural Network for
Texture_compression
Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. While the computational implementations of ANNs
History of artificial neural networks
History_of_artificial_neural_networks
System-on-a-chip series designed by Apple Inc.
integrates a central processing unit (CPU), graphics processing unit (GPU), neural processing unit (NPU), and unified memory in a single package. The base
Apple_M5
Branch of neuroscience
Information theory Mathematical model Nonlinear dynamics Neural coding Neural decoding Neural oscillation Neuroinformatics Neuromimetic intelligence Neuroplasticity
Computational_neuroscience
Stupor by applied electric current
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
Electronarcosis
Type of machine learning model
A large language model (LLM) is a machine learning model (typically a neural network) trained on a vast amount of text for natural language processing
Large_language_model
System-on-a-chip designed by Apple Inc.
fabricated by TSMC on their 3 nm N3 process. The A17 Pro adds hardware decoding for AV1 video, and is the first Apple SoC with AV1 support. The A17 Pro's
Apple_A17_Pro
Type of error correcting code
modest encoding and decoding complexity O(n log n), which renders them attractive for many applications. Moreover, the encoding and decoding energy complexity
Polar_code_(coding_theory)
Principle in artificial intelligence
impossible". More recently, "The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning" continues Sutton's argument, contending
Bitter_lesson
Memory unit used in neural networks
In artificial neural networks, the gated recurrent unit (GRU) is a gating mechanism used in recurrent neural networks, introduced in 2014 by Kyunghyun
Gated_recurrent_unit
American neuroscientist
(2023). "Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants". Nature Research Square. 17 (1): 29–33
Mackenzie_Weygandt_Mathis
Process for estimating a probability density function
Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding. Providence, RI, USA: Brown University. doi:10.26300/nhfp-xv22. Chen
Recursive_Bayesian_estimation
Classification of Artificial Neural Networks (ANNs)
Types of neural networks (NN) include a family of techniques. The simplest types have static components, including number of units, number of layers, unit
Types of artificial neural networks
Types_of_artificial_neural_networks
2021 book on neuroscience and epistemology by Iain McGilchrist
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
The_Matter_with_Things
Machine learning framework
understood as a "decoding" process, whereby every latent vector z∈ΩZ is a code for an image x∈ΩX, and the generator performs the decoding. This naturally
Generative adversarial network
Generative_adversarial_network
Iranian-American neuroscientist
spatiotemporal scales of neural measurements to model their relationships and improve decoding. In 2013, she developed a brain decoding method that could help
Maryam_Shanechi
Neurophilosophical study of topics related to free will
Without Free Will Free Will (book) Adaptive unconscious Dick Swaab Neural decoding Neuroethics § Neuroscience and free will Problem of mental causation
Neuroscience_of_free_will
Buffer solution
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
Artificial cerebrospinal fluid
Artificial_cerebrospinal_fluid
perception Neural coding Neural correlate Neural decoding Neuroethology Neuroinformatics Quantitative models of the action potential Spiking neural network
Models_of_neural_computation
Type of large language model
only the decoder part of the transformer architecture, pre-trained to predict the next token in a sequence. Previously, the best-performing neural models
Generative pre-trained transformer
Generative_pre-trained_transformer
Intracortical device designed to read the electrical signals of the brain
similar to that used for the cursor, with the addition of a post-receiver neural decoder and the synthesizer itself. Researchers implanted the electrode in the
Neurotrophic_electrode
Study of epigenetics' influencing behavior
subjected to methylation-controlled increases or decreases are transported by neural granules (messenger RNPs) to the dendritic spines. At these locations the
Behavioral_epigenetics
Machine learning methods using multiple input modalities
corresponding textual descriptions. A Boltzmann machine is a type of stochastic neural network invented by Geoffrey Hinton and Terry Sejnowski in 1985. Boltzmann
Multimodal_learning
Type of feedforward neural network
learning, a multilayer perceptron (MLP) is a kind of modern feedforward neural network consisting of fully connected neurons with nonlinear activation
Multilayer_perceptron
Optimization algorithm for artificial neural networks
1111/cogs.12519. PMC 6001481. PMID 28744901. "Decoding the Power of Backpropagation: A Deep Dive into Advanced Neural Network Techniques". janbasktraining.com
Backpropagation
Scheme for controlling errors in data over noisy communication channels
often soft decoded with the Viterbi algorithm, though other algorithms are sometimes used. Viterbi decoding allows asymptotically optimal decoding efficiency
Error_correction_code
Technique to detect a suspect's participation in a crime
Anthony D. (2010-05-25). "Detecting individual memories through the neural decoding of memory states and past experience". Proceedings of the National
Brain Electrical Oscillation Signature Profiling
Brain_Electrical_Oscillation_Signature_Profiling
Theory in neurology
Neural Darwinism is a biological, and more specifically Neo-Darwinist and selectionist, approach to understanding global brain function, originally proposed
Neural_Darwinism
American neuroscientist
PMID 22425670. Haxby, J. V.; Connolly, A. C. & Guntupalli, J. S. (2014). "Decoding neural representational spaces using multivariate pattern analysis". Annual
James_V._Haxby
Video coding format
parameters calculated during header decoding The standard defines a process called plane reconstruction for decoding images from a bitstream. The process
VC-6
American fabless semiconductor company
265/VP9 decoding up to 1080p. Amlogic S905 – Quad-core ARM Cortex-A53-based SoC with a Mali-450 MP3 GPU running at 750 MHz, supports hardware decoding up to
Amlogic
American electrical engineer (born 1961)
2483–2491, December 2005. Neural Signal Processing Caleb Kemere, Krishna Shenoy and Teresa H. Meng, "Model-Based Neural Decoding of Reaching Movements: A
Teresa_Meng
Type of abnormal brain wave
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
Intermittent rhythmic delta activity
Intermittent_rhythmic_delta_activity
Cognitive neuroscientist
Award from the National Academy of Sciences "for pioneering the use of neural decoding techniques to explore mechanisms in the human brain mediating perception
Frank_Tong
Technique in artificial intelligence
Feedback neural networks are neural networks with the ability to provide bottom-up and top-down approach feedback to their input or previous layers, based
Feedback_neural_network
Abnormal EEG pattern
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
Generalized periodic epileptiform discharges
Generalized_periodic_epileptiform_discharges
German neuroscientist
PMC 10033876. PMID 36949048. Kording, Konrad (26 February 2024). "Neural decoding for BCI: the objectives, principles and the future". 2024 12th International
Konrad_Körding
Type of mathematical filter
filter include: Brain–computer interfaces and neural decoding, real-time decoding for continuous neural-prosthetic control, and sensorimotor learning
Switching_Kalman_filter
American neuroscientist and writer (born 1964)
2002. Rilling JK, Gutman DA, Zeh TR, Pagnoni G, Berns GS, Kilts CD: A neural basis for social cooperation. Neuron, 35:395-405, 2002. PDF. Montague, PR;
Gregory_Berns
Discipline related to neuroscience and biomedical engineering
Neuroprosthetics (also called neural prosthetics) is a discipline related to neuroscience and biomedical engineering concerned with developing neural prostheses. They
Neuroprosthetics
Image upscaling technology by Nvidia
Nvidia CEO Jensen Huang presented DLSS 5, a real-time AI model based on neural rendering that purports to realistically enhance lighting and material surfaces
Deep_Learning_Super_Sampling
American psychiatric research scientist and neuroanatomist
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
David_Rioch
Cognitive system for temporarily holding information
Evidence from decoding studying employing multi-voxel-pattern-analysis of fMRI data showed the content of visual working memory can be decoded from activity
Working_memory
Computing using random bit streams
recently, interest has turned towards stochastic decoding, which applies stochastic computing to the decoding of error correcting codes. More recently, stochastic
Stochastic_computing
Regulator for flow of signals in neural networks
In neural networks, the gating mechanism is an architectural motif for controlling the flow of activation and gradient signals. They are most prominently
Gating_mechanism
American AI researcher (born 1993)
worked on natural-language processing. The following year, Radford trained a neural network on Amazon reviews. The model was basic, with layers that allowed
Alec_Radford
Series of language models developed by Google AI
probability distribution over the token types. It can be viewed as a simple decoder, decoding the latent representation into token types, or as an "un-embedding
BERT_(language_model)
American medical device company
(25 November 2020). "Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus". Journal of Neural Engineering. 17 (6): 066007
Paradromics
System-on-a-chip designed by Apple Inc.
A11. The A12 includes dedicated neural network hardware that Apple calls a "Next-generation Neural Engine." This neural network hardware has eight cores
Apple_A12
System-on-a-chip designed by Apple Inc.
the A12. The A14 includes dedicated neural network hardware that Apple calls a new 16-core Neural Engine. The Neural Engine can perform 11 trillion operations
Apple_A14
Recurrent neural network architecture
Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem commonly encountered by traditional
Long_short-term_memory
Digital circuit
of a taken conditional or unconditional jump before it is computed by decoding and executing the instruction itself. Branch prediction and branch target
Branch_predictor
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
Periodic lateralized epileptiform discharges
Periodic_lateralized_epileptiform_discharges
Theoretical model of sensory neuroscience
spikes. Barlow hypothesized that the spikes in the sensory system formed a neural code for efficiently representing sensory information. By efficient it is
Efficient_coding_hypothesis
Paradigm in machine learning that uses no classification labels
representation of input patterns. The encoder neural network is a probability distribution qφ(z given x) and the decoder network is pθ(x given z). The weights
Unsupervised_learning
Machine learning model for speech
time warping, and later hidden Markov models. At around the 2010s, deep neural network approaches became more common for speech recognition models, which
Whisper (speech recognition system)
Whisper_(speech_recognition_system)
human episodic memory. Frank Tong (2010) For pioneering the use of neural decoding techniques to explore mechanisms in the human brain mediating perception
Troland_Research_Awards
Structuring text as input to generative artificial intelligence
famously imitating a Rogerian psychotherapist. Although ELIZA did not involve neural networks or learned language models, its use of keyword-triggered rules
Prompt_engineering
International group of researchers in neuroscience and gender studies
Imaging genetics Integrative neuroscience Molecular neuroscience Neural decoding Neural engineering Neuroanatomy Neurobiology Neurochemistry Neuroendocrinology
The_NeuroGenderings_Network
American neuroscientist
Interventions to Emphasize Aspects of Neural Variance and Decode Speed and Angle" US 7058445B2, "Decoding of neural signals for movement control" WO 2003005934A3
Krishna_Shenoy
American neuroscientist
systematically the neural codes in the mouse brain, with funding supported in part by Georgia Research Alliance. Tsien's Brain Decoding Project has provided
Joe_Z._Tsien
System-on-a-chip designed by Apple Inc.
of 15 billion. It includes an improved neural processing unit (NPU) with 16 cores known as the "Apple Neural Engine", a new image signal processor (ISP)
Apple_A16
System-on-a-chip designed by Apple Inc.
8K Apple ProRes, VP9, JPEG and AV1 decoding. The M3 contains dedicated neural network hardware in a 16-core Neural Engine capable of executing over 18
Apple_M3
Study of reading and its acquisition
easily when they use a process called hierarchical decoding. In this process, students, rather than decode from left to right, are taught to focus attention
Science_of_reading
travel, tourism, insurance
NEURAL DECODING
NEURAL DECODING
Girl/Female
English
The laurel tree or sweet bay tree symbolic of honor and victory.
Male
English
Variant spelling of English Neil, NEAL means "champion."
Boy/Male
Biblical
Treasurer of Nergal.
Girl/Female
Hindu
There is no ending. ne-no tal-ending, The forehead
Girl/Female
Indian, Malayalam
Happy
Boy/Male
Hindu
Lotus flower
Boy/Male
Hindu
Without sound, Quiet, Silent
Girl/Female
Hindu
Unique and different from all
Girl/Female
Muslim/Islamic
The light e.g. nurul islam, the light of islam
Biblical
treasurer of Nergal
Boy/Male
Hindu
New, Rainy, Handsome, Gratified
Girl/Female
Hebrew
Light.
Girl/Female
Gujarati, Hindu, Indian, Marathi
Eye
Male
Scottish
Scottish Gaelic form of Greek Nikolaos, NEACAL means "victor of the people."
Boy/Male
Hindu
Cloud, Given by water
Female
Turkish
Turkish name NURAY means "bright moon."
Boy/Male
Gaelic
People's victory.
Girl/Female
Hindu, Indian
Most Popular; Lotus; Born from Water
Boy/Male
Biblical
The great man; the hero.
Girl/Female
Hindu, Indian
Unique; Different from All
NEURAL DECODING
NEURAL DECODING
NEURAL DECODING
NEURAL DECODING
NEURAL DECODING
NEURAL DECODING
NEURAL DECODING
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