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This paper presents a novel design of a neural decoder that uses a one-step model predictive controller to generate a control signal that compensates for the ...
The neural decoder, which expresses the mapping between the neural signals and the subject's motion, plays an important role in BMI systems. Conventional neural ...
Jan 22, 2014 · One model hypothesizes that error detection results from the confrontation of two signals: a fast and unconscious motor code, based on a direct ...
Oct 21, 2024 · This paper analyzes the design and competitiveness of four neural network (NN) architectures recently proposed as decoders for forward error ...
Missing: sensory prediction
What is neural decoding? Simply put, it is a mathematical mapping from the brain activity to the outside world. In the sensory domain, the outside world ...
Design of a neural decoder by sensory prediction and error correction · Optimal feedback control successfully explains changes in neural modulations during ...
Duration: 1:04:17
Posted: Jul 17, 2023
Posted: Jul 17, 2023
Missing: Design sensory prediction error correction.
Oct 22, 2020 · We seek to understand the neural mechanisms that perform sensory decoding for motor behavior, advancing the field by designing decoders based on ...
Oct 7, 2024 · In the field of Brain Machine Interface (BMI), the process of translating motor intention into a machine command is denoted as decoding.
Improving the performance of neural decoding algorithms allows neuroscientists to better understand the information contained in a neural population and can ...