Sep 26, 2017 · Here we review the current state of encoding and decoding models in cognitive electrophysiology and provide a practical guide toward conducting experiments and analyses in this emerging field. Our examples focus on using linear models in …

Encoding and decoding models are widely used in systems, cognitive, and computational neuroscience to make sense of brain-activity data. However, the interpretation of their results requires care. Decoding models can help reveal whether particular ...

Encoding and decoding models are widely used in systems, cognitive, and computational neuroscience to make sense of brain-activity data. However, the interpretation of their results requires care. Decoding models can help reveal whether particular information is present in a brain region in a format the decoder can exploit.

Oct 17, 2024 · This subject has been explored using two complementary methods: encoding methods, which describe neural responses based on the stimuli, and decoding methods, which aim to reconstruct the visual scene or specific attributes from neural data without learning an encoding model first.

Difference between encoding and decoding models. (A) Encoding models, including the general linear model (GLM) under the event-related design, use stimulus features as input and brain activity as output. (B) Decoding models, including multivariate pattern classification, use brain activity as input and stimulus features as output.

Encoding models provide neurocomputational theories on how sensory inputs are converted into neural activity, ranging from simple to complex, algorithmic to mechanistic. Decoding models interpret neural activity patterns to reveal cognitive states, behavioral results, or external stimuli.

Mar 1, 2023 · We address this challenge by reviewing cognitive theories of semantic representation and their neural instantiation. We then consider contemporary approaches to neural decoding and assess which types of representation each can possibly detect.

In the present chapter, we briefly review the main methods to encode and decode temporally-resolved neural recordings, show how these approaches relate to one another, and summarize their main premises and challenges.

Encoding and decoding models are widely used in systems, cognitive, and computational neuroscience to make sense of brain-activity data. However, the interpretation of their results requires care. Decoding models can help reveal whether particular information is present in a brain region in a format the decoder can exploit.

Dec 1, 2018 · Decoding models can help reveal whether particular information is present in a brain region in a format the decoder can exploit. Encoding models make comprehensive predictions about representational spaces.