Brain–computer interfaces for neuropsychiatric disorders
LL Oganesian, MM Shanechi - Nature Reviews Bioengineering, 2024 - nature.com
Neuropsychiatric disorders such as major depression are a leading cause of disability
worldwide with standard treatments, including psychotherapy or medication, failing many …
worldwide with standard treatments, including psychotherapy or medication, failing many …
Unsupervised learning of stationary and switching dynamical system models from Poisson observations
CY Song, MM Shanechi - Journal of Neural Engineering, 2023 - iopscience.iop.org
Objective. Investigating neural population dynamics underlying behavior requires learning
accurate models of the recorded spiking activity, which can be modeled with a Poisson …
accurate models of the recorded spiking activity, which can be modeled with a Poisson …
[HTML][HTML] Multimodal subspace identification for modeling discrete-continuous spiking and field potential population activity
Objective. Learning dynamical latent state models for multimodal spiking and field potential
activity can reveal their collective low-dimensional dynamics and enable better decoding of …
activity can reveal their collective low-dimensional dynamics and enable better decoding of …
Unsupervised Separation of Nonlinearly Mixed Event-Related Potentials using Manifold Clustering and Non-negative Matrix Factorization
Event-related potentials (ERPs) can quantify brain responses to reveal the neural
mechanisms of sensory perception. However, ERPs often reflect nonlinear mixture …
mechanisms of sensory perception. However, ERPs often reflect nonlinear mixture …
[HTML][HTML] Event detection and classification from multimodal time series with application to neural data
The detection of events in time-series data is a common signal-processing problem. When
the data can be modeled as a known template signal with an unknown delay in Gaussian …
the data can be modeled as a known template signal with an unknown delay in Gaussian …
[HTML][HTML] Brain dynamics and spatiotemporal trajectories during threat processing
J Misra, L Pessoa - bioRxiv, 2024 - ncbi.nlm.nih.gov
In the past decades, functional MRI research has investigated mental states and their brain
bases in largely static fashion based on evoked responses during blocked and event-related …
bases in largely static fashion based on evoked responses during blocked and event-related …
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
One of the central goals of neuroscience is to gain a mechanistic understanding of how the
dynamics of neural circuits give rise to their observed function. A popular approach towards …
dynamics of neural circuits give rise to their observed function. A popular approach towards …
Spectral learning of shared dynamics between generalized-linear processes
LL Oganesian, OG Sani, M Shanechi - openreview.net
Across various science and engineering applications, there often arises a need to predict
the dynamics of one data stream from another. Further, these data streams may have …
the dynamics of one data stream from another. Further, these data streams may have …