The neural encoding of sound is the representation of auditory sensation and perception in the nervous system. [citation needed]The complexities of contemporary...

points of view. Neural encoding refers to the map from stimulus to response. The main focus is to understand how neurons respond to a wide variety of stimuli...

expression of the desired message is created. Formulation includes grammatical encoding, morpho-phonological encoding, and phonetic encoding. Grammatical...

generally done with a codec. Neural encoding - the way in which information is represented in neurons. Memory encoding - the process of converting sensations...

speech sounds via the interaction of different physiological structures. Generally, articulatory phonetics is concerned with the transformation of aerodynamic...

produced in the mind of the listener) and objective measures (physical properties of the sound wave and physiological characteristics of articulation that...

used in phonetics and phonology to characterize speech sounds (usually consonants). Speech sounds can be described as either voiceless (otherwise known...

depending on the subfield of phonetics. Among some phoneticians, phonation is the process by which the vocal folds produce certain sounds through quasi-periodic...

phonetics is the branch of phonetics concerned with the hearing of speech sounds and with speech perception. It thus entails the study of the relationships...

eardrum to move. The ear transforms this movement into neural signals that the brain registers as sound. Acoustic waveforms are records that measure these...

The source–filter model represents speech as a combination of a sound source, such as the vocal cords, and a linear acoustic filter, the vocal tract. While...

two speech sounds in a discrimination test, but brain responses may reveal sensitivity to these differences. Methods used to measure neural responses to...

processing (sound, images, video, and text) in perceivers, fast weight controller's memory, reasoning tasks in differentiable neural computers, and neural Turing...

artificial neural network to increase fluency and accuracy in Google Translate. The neural network consisted of two main blocks, an encoder and a decoder...

the perception of speech at the sublexical level. However, the ultimate goal of these studies is presumably to understand the neural processes supporting...

Models of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing...

Acoustic phonetics is a subfield of phonetics, which deals with acoustic aspects of speech sounds. Acoustic phonetics investigates time domain features...

physical stimuli such as light and sound into neural signals, and motor neurons that transmute neural signals into activation of muscles or glands; however in...

Neural adaptation or sensory adaptation is a gradual decrease over time in the responsiveness of the sensory system to a constant stimulus. It is usually...

during semantic encoding conditions compared to nonsemantic encoding conditions regardless of the difficulty of the nonsemantic encoding task presented...

Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory...

two of the three adjacent pixels, it is not noise. A noisy bit-plane will have 49% to 51% pixels that are noise. As an example, in PCM sound encoding the...

is called line encoding. The common types of line encoding are unipolar, polar, bipolar, and Manchester encoding. Another concern of coding theory is...

is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers...

to the sound condition (.63), to the meaning condition (.86). The effect was also greater for the "yes" encoding words than the "no" encoding words, which...

Qihong Lu, Uri Hasson, Kenneth A Norman (2022) A neural network model of when to retrieve and encode episodic memories eLife 11:e74445https://doi.org/10...

generation, a form of generative AI, by taking an input text and repeatedly predicting the next token or word. LLMs are artificial neural networks. The largest...

evaluate: the role of neural phase-locking in encoding of complex sounds in normally hearing and hearing impaired subjects, encoding of voice pitch, binaural...

separate neural network, which outputs a probability distribution over its 30,000-large vocabulary. next sentence prediction: Given two spans of text, the...

Neural facilitation, also known as paired-pulse facilitation (PPF), is a phenomenon in neuroscience in which postsynaptic potentials (PSPs) (EPPs, EPSPs...