Neural coding

Neural coding is a neuroscience field that is concerned with characterizing the hypothetical relationship between the stimulus and the individual or ensemble neuronal responses and the relationships among the electrical activity of the neurons in the ensemble. It is thought that neurons can encode both digital and analog information.

Overview

The main goal of studying neural coding is to characterize the relationship between the stimulus and the individual or ensemble neuronal responses, and the relationships among the electrical activity of the neurons in the ensemble. It is thought that neurons can encode both digital and analog information.

Types of Neural Coding

There are several types of neural coding including:

• Temporal Coding: In this type of coding, the timing of action potentials is used to encode information. This can be further divided into rate timing and temporal timing.

• Rate Coding: This is a type of temporal coding where the rate of action potentials is used to encode information.

• Population Coding: This type of coding uses the combined activity of a number of neurons to encode the information.

• Sparse Coding: In this type of coding, a relatively small number of neurons are involved in encoding information at a given time.

Neural Decoding

Neural decoding is the study of the relationship between the stimulus and the neural response. It is a critical part of understanding how the brain processes information.

See Also

• Neuroscience
• Neuron
• Action potential
• Neural network

References

Neural coding Resources
Latest articles Most recent articles Ongoing trials	Wikipedia