Neural decoding for intracortical brain–computer interfaces
Brain–computer interfaces have revolutionized the field of neuroscience by providing a
solution for paralyzed patients to control external devices and improve the quality of daily …
solution for paralyzed patients to control external devices and improve the quality of daily …
Leaving flatland: Advances in 3D behavioral measurement
Animals move in three dimensions (3D). Thus, 3D measurement is necessary to report the
true kinematics of animal movement. Existing 3D measurement techniques draw on …
true kinematics of animal movement. Existing 3D measurement techniques draw on …
Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation
Direct electrical stimulation can modulate the activity of brain networks for the treatment of
several neurological and neuropsychiatric disorders and for restoring lost function. However …
several neurological and neuropsychiatric disorders and for restoring lost function. However …
Dynamical flexible inference of nonlinear latent factors and structures in neural population activity
Modelling the spatiotemporal dynamics in the activity of neural populations while also
enabling their flexible inference is hindered by the complexity and noisiness of neural …
enabling their flexible inference is hindered by the complexity and noisiness of neural …
Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner
The spiking activity of populations of cortical neurons is well described by the dynamics of a
small number of population-wide covariance patterns, whose activation we refer to as 'latent …
small number of population-wide covariance patterns, whose activation we refer to as 'latent …
Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior
Neural dynamics can reflect intrinsic dynamics or dynamic inputs, such as sensory inputs or
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …
[HTML][HTML] Neuronal travelling waves explain rotational dynamics in experimental datasets and modelling
Spatiotemporal properties of neuronal population activity in cortical motor areas have been
subjects of experimental and theoretical investigations, generating numerous interpretations …
subjects of experimental and theoretical investigations, generating numerous interpretations …
Rotational dynamics in motor cortex are consistent with a feedback controller
Recent studies have identified rotational dynamics in motor cortex (MC), which many
assume arise from intrinsic connections in MC. However, behavioral and neurophysiological …
assume arise from intrinsic connections in MC. However, behavioral and neurophysiological …
[HTML][HTML] Decoding depression severity from intracranial neural activity
Background Disorders of mood and cognition are prevalent, disabling, and notoriously
difficult to treat. Fueling this challenge in treatment is a significant gap in our understanding …
difficult to treat. Fueling this challenge in treatment is a significant gap in our understanding …
[HTML][HTML] Multi-scale neural decoding and analysis
Objective. Complex spatiotemporal neural activity encodes rich information related to
behavior and cognition. Conventional research has focused on neural activity acquired …
behavior and cognition. Conventional research has focused on neural activity acquired …