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23 lis 2023 · Appreciating the distinction between Bayesian encoding and Bayesian decoding will help to organize future work and enable stronger empirical tests about the nature of inference in the brain.
10 lip 2024 · Our work subsumes the two approaches in a unifying framework based on the mathematics of variational autoencoders. Unlike in efficient coding, which assumes full knowledge of stimulus statistics, here representations are learned from examples, in a joint optimization of encoding and decoding.
3 dni temu · “Decoding the brain” therefore has two meanings: one, as described above, is how neural dynamics decode and transform incoming information across distributed circuits to represent meaningful information about sensory and other task stimuli (Figure 1 A). The other is how we can build “decoder” algorithms to measure information in the brain (representational level analysis) and use it ...
2 sie 2024 · Understanding the computational mechanisms that underlie the encoding and decoding of environmental stimuli is a crucial investigation in neuroscience. Central to this pursuit is the exploration of how the brain represents visual information across its hierarchical architecture.
28 sie 2023 · The objective of neural encoding is to predict the brain’s response to external stimuli, providing an effective means to explore the brain’s mechanism for processing sensory information and...
10 kwi 2021 · This paper summarizes progress for EEG-based BCIs from the perspective of encoding paradigms and decoding algorithms, which are two key elements of BCI systems. Encoding paradigms are grouped by their underlying neural meachanisms, namely sensory- and motor-related, vision-related, cognition-related and hybrid paradigms.
29 gru 2020 · Decoding behavior, perception or cognitive state directly from neural signals is critical for brain–computer interface research and an important tool for systems neuroscience. In the last decade, deep learning has become the state-of-the-art method in many machine learning tasks ranging from speech recognition to image segmentation.
