Neural coding is an important topic for understanding how the brain processes stimuli from the environment. The aim of neural decoding is to read out information embedded in various types of ...

Decoding: readout of decision-related information from LIP spike trains Encoding models specify an explicit probability distribution over neural activity given a set of external task variables ...

Convolutional neural networks, a form of “deep-learning” algorithm ... a process called cross-subject encoding and decoding. This finding is important because it demonstrates the potential for broad ...

Decoding the spectral and temporal fine structure ... The FFR provides information on the neural encoding of two specific features of sound: fundamental frequency, responsible for the perception ...

In a recent study published in Nature Communications, researchers performed high-resolution, micro-electrocorticographic (µECoG) neural recordings for speech decoding to improve speech prostheses.

Some audio/video receivers (AVRs) equipped with Neural Surround technology have applied Neural decoding only to their XM Satellite Radio inputs, but that is changing with the technology’s transition ...

As in the case of ECoG, the neural network provided high decoding accuracy and feature interpretability. We are already using this approach to build invasive brain-computer interfaces, as well as ...

Every day, various types of sensory information from the external environment are transferred to the brain through different modalities and then processed to generate a series of coping behaviors.