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Preparatory activity and the expansive null-space
The study of the cortical control of movement experienced a conceptual shift over recent
decades, as the basic currency of understanding shifted from single-neuron tuning towards …
decades, as the basic currency of understanding shifted from single-neuron tuning towards …
Computation through neural population dynamics
Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …
within the coordinated activity of interconnected neural populations. An emerging challenge …
The neural mechanisms of manual dexterity
The hand endows us with unparalleled precision and versatility in our interactions with
objects, from mundane activities such as gras** to extraordinary ones such as virtuoso …
objects, from mundane activities such as gras** to extraordinary ones such as virtuoso …
Preserved neural dynamics across animals performing similar behaviour
Animals of the same species exhibit similar behaviours that are advantageously adapted to
their body and environment. These behaviours are shaped at the species level by selection …
their body and environment. These behaviours are shaped at the species level by selection …
[HTML][HTML] Progress in brain computer interface: Challenges and opportunities
Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …
computer or other external devices. They offer an extended degree of freedom either by …
Intra-and inter-subject variability in EEG-based sensorimotor brain computer interface: a review
Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit
sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the …
sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the …
Graph convolution neural network based end-to-end channel selection and classification for motor imagery brain–computer interfaces
B Sun, Z Liu, Z Wu, C Mu, T Li - IEEE transactions on industrial …, 2022 - ieeexplore.ieee.org
Classification of electroencephalogram-based motor imagery (MI-EEG) tasks is crucial in
brain–computer interface (BCI). EEG signals require a large number of channels in the …
brain–computer interface (BCI). EEG signals require a large number of channels in the …
Cortical population activity within a preserved neural manifold underlies multiple motor behaviors
Populations of cortical neurons flexibly perform different functions; for the primary motor
cortex (M1) this means a rich repertoire of motor behaviors. We investigate the flexibility of …
cortex (M1) this means a rich repertoire of motor behaviors. We investigate the flexibility of …
Unsupervised discovery of demixed, low-dimensional neural dynamics across multiple timescales through tensor component analysis
Perceptions, thoughts, and actions unfold over millisecond timescales, while learned
behaviors can require many days to mature. While recent experimental advances enable …
behaviors can require many days to mature. While recent experimental advances enable …
Bayesian computation through cortical latent dynamics
Statistical regularities in the environment create prior beliefs that we rely on to optimize our
behavior when sensory information is uncertain. Bayesian theory formalizes how prior …
behavior when sensory information is uncertain. Bayesian theory formalizes how prior …