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

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

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...

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

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

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...

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

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...

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...

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...