Visual information, forming a large part of the sensory information, is fed into the human brain to formulate various types of cognition and behaviours that make humans become intelligent …

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, …

Nov 15, 2014 · This paper proposes a bidirectional model for decoding and encoding of visual stimulus based on manifold representation of the temporal and spatial information extracted …

Aug 2, 2024 · Our study suggests that decoding neural network models can be a valuable tool for understanding how the brain encodes visual information, providing new insights into the …

Mar 12, 2024 · How to decode human vision through neural signals has attracted a long-standing interest in neuroscience and machine learning. Modern contrastive learning and generative …

Nov 15, 2014 · Visual decoding and encoding are crucial aspects in investigating the representation of visual information in the human brain. This paper proposes a bidirectional …

Using a convolutional neural network to build visual encoding and decoding models of the human brain is a good starting point for the study on relationship between deep learning and human …

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 …

Jun 24, 2024 · We find that our decoding model adeptly deciphers visual. scenes from neural spiking patterns exhibited within each distinct brain area. A compelling observation. encoding …

Apr 29, 2025 · Deep learning predictive models were constructed and validated to match neuronal activity to physical connectivity. The resulting map is the most comprehensive set of data ever …