Neural coding (or neural representation) is a neuroscience field concerned with characterising the hypothetical relationship between the stimulus and the...

in many other theories of neural learning, such as sparse coding, with the central difference being that in predictive coding not only the connections...

There are four types of coding: Data compression (or source coding) Error control (or channel coding) Cryptographic coding Line coding Data compression attempts...

clamp Phase-of-firing code Population coding Rate coding Sparse coding Temporal coding Johnson, K. O. (June 2000). "Neural coding". Neuron. 26 (3): 563–566...

needs to be coded in a spiking pattern. Different types of coding schemes have been proposed, such as rate coding and temporal coding. Neural oscillations...

The efficient coding hypothesis was proposed by Horace Barlow in 1961 as a theoretical model of sensory coding in the brain. Within the brain, neurons...

to Neural Coding, The MIT Press; 1 edition (Jan 1 2007) Knill David, Pouget Alexandre (2004), The Bayesian brain: the role of uncertainty in neural coding...

improves neural coding efficiency despite increasing correlations in variability. J. Neurosci. 33, 2108–2120 (2013) Laughlin, S. (1981). "A simple coding procedure...

Neural coding is concerned with how sensory and other information is represented in the brain by neurons. The main goal of studying neural coding is...

(cognitive architecture) Models of neural computation Multiple drafts model Münchhausen trilemma Neural coding Neural decoding Neural substrate Philosophy of mind...

starts with the nociceptors, a type of physiological receptor that transmits neural signals to the brain when activated. These receptors are commonly found...

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

of highly diverse neural information in the forming of one's cohesive experience. The neural binding hypothesis states that neural signals are paired...

Network science Neural coding Neural engineering Neural oscillation Pulse-coupled networks Systems neuroscience Connectomics Nerve tract Neural pathway Nerve...

Speech coding is an application of data compression to digital audio signals containing speech. Speech coding uses speech-specific parameter estimation...

many types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used...

his doctoral work on neural codes in the Auditory system under the direction of Murray B. Sachs and Eric D. Young in the Neural Encoding Laboratory at...

signals, neural engineers must translate the voltages across neural membranes into corresponding code, a process known as neural coding. Neural coding studies...

provide a coherent framework for understanding cognition by offering a neural model of how different cognitive functions emerge when different sets of...

D. (May 1996). "Natural image statistics and efficient coding". Network: Computation in Neural Systems. 7 (2): 333–339. doi:10.1088/0954-898X/7/2/014...

High-frequency oscillations (HFO) are brain waves of the frequency faster than ~80 Hz, generated by neuronal cell population. High-frequency oscillations...

the model of parallel distributed processing (PDP) in hopes of studying neural processes through computer simulations. According to Rumelhart, the PDP...

Alexandre (2004). "The Bayesian brain: The role of uncertainty in neural coding and computation" (PDF). Trends in Neurosciences. 27 (12): 712–719. doi:10...

Instantaneously trained neural networks use unary coding for efficient data representation. Unary coding is used in the neural circuits responsible for...

codes and CRC-aided list decoding of conventional polar codes. Neural Polar Decoders (NPDs) are an advancement in channel coding that combine neural networks...

when the first study explored this phenomenon in 1989. They showed that neural activity of single place cells during sleep resembled the activity during...

their grandmother. It contrasts with the concept of ensemble coding (or "coarse" coding), where the unique set of features characterizing the grandmother...

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...

Execution – Live Reunion (2007) My Winter Storm (2007) The Seer (EP) (2008) Neural Code (2009) Black Moon (2015) - On the song "Arabestia" Dystopia (2016) Warheads...

PMID 31105529. Clark, Beverley; Häusser, Michael (8 August 2006). "Neural Coding: Analog Signalling in Axons". Current Biology. 16 (15): R585 – R588...