From end to end: Gaining, sorting, and employing high-density neural single unit recordings

RB Bod, J Rokai, D Meszéna, R Fiáth… - Frontiers in …, 2022 - frontiersin.org
The meaning behind neural single unit activity has constantly been a challenge, so it will
persist in the foreseeable future. As one of the most sourced strategies, detecting neural …

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes

Y Zhang, T He, J Boussard, C Windolf… - Advances in …, 2024 - proceedings.neurips.cc
Neural decoding and its applications to brain computer interfaces (BCI) are essential for
understanding the association between neural activity and behavior. A prerequisite for many …

A Bayesian filtering approach for tracking sympathetic arousal and cortisol-related energy from marked point process and continuous-valued observations

DS Wickramasuriya, S Khazaei, R Kiani… - IEEE Access, 2023 - ieeexplore.ieee.org
Multiple state variables governed by internal processes within the human body remain
unobserved. On a number of occasions, these states are linked to point process bioelectric …

Hybrid decoders for marked point process observations and external influences

DS Wickramasuriya, LJ Crofford… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Internal physiological processes govern multiple state variables within the human
body. Estimating these from point process-type bioelectric and biochemical observations is a …

[HTML][HTML] Forecasting immune effector cell-associated neurotoxicity syndrome after chimeric antigen receptor t-cell therapy

Y Amidi, CA Eckhardt, SA Quadri, P Malik… - … for Immunotherapy of …, 2022 - ncbi.nlm.nih.gov
Background Immune effector cell-associated neurotoxicity syndrome (ICANS) is a clinical
and neuropsychiatric syndrome that can occur days to weeks following administration …

Inferring cognitive state underlying conflict choices in verbal Stroop task using heterogeneous input discriminative-generative decoder model

MR Rezaei, H Jeoung, A Gharamani… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. The subthalamic nucleus (STN) of the basal ganglia interacts with the medial
prefrontal cortex (mPFC) and shapes a control loop, specifically when the brain receives …

Direct discriminative decoder models for analysis of high-dimensional dynamical neural data

MR Rezaei, AE Hadjinicolaou, SS Cash… - Neural …, 2022 - direct.mit.edu
With the accelerated development of neural recording technology over the past few
decades, research in integrative neuroscience has become increasingly reliant on data …

Nonlinear point-process estimation of neural spiking activity based on variational Bayesian inference

P Xiao, X Liu - Journal of Neural Engineering, 2022 - iopscience.iop.org
Objective. Understanding neural encoding and decoding processes are crucial to the
development of brain-machine interfaces (BMI). Higher decoding speed of neural signals is …

Genetic Programming‐Based Prediction Model for Microseismic Data

M Wang, H Zhou, D Zhang, Y Wang, W Du, B Yu - Geofluids, 2022 - Wiley Online Library
Microseismic monitoring is a rock breakdown monitoring technology, and it has become a
major technical tool for underground disaster warning and prevention. However, the …

Alternators For Sequence Modeling

MR Rezaei, AB Dieng - arXiv preprint arXiv:2405.11848, 2024 - arxiv.org
This paper introduces alternators, a novel family of non-Markovian dynamical models for
sequences. An alternator features two neural networks: the observation trajectory network …