Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Cracking the function of layers in the sensory cortex

H Adesnik, A Naka - Neuron, 2018 - cell.com
Understanding how cortical activity generates sensory perceptions requires a detailed
dissection of the function of cortical layers. Despite our relatively extensive knowledge of …

Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation

Y Yang, S Qiao, OG Sani, JI Sedillo… - Nature biomedical …, 2021 - nature.com
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 …

[HTML][HTML] From novel technology to novel applications: Comment on “An integrated brain-machine interface platform with thousands of channels” by Elon Musk and …

AN Pisarchik, VA Maksimenko, AE Hramov - Journal of medical Internet …, 2019 - jmir.org
The first attempts to translate neuronal activity into commands to control external devices
were made in monkeys yet in 1960s [1]. After that, during 1960-1970, the biological …

Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior

H Abbaspourazad, M Choudhury, YT Wong… - Nature …, 2021 - nature.com
Motor function depends on neural dynamics spanning multiple spatiotemporal scales of
population activity, from spiking of neurons to larger-scale local field potentials (LFP). How …

A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation

Y Yang, AT Connolly… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Closed-loop electrical brain stimulation systems may enable a precisely-tailored
treatment for neurological and neuropsychiatric disorders by controlling the stimulation …

Representation learning for neural population activity with Neural Data Transformers

J Ye, C Pandarinath - arXiv preprint arXiv:2108.01210, 2021 - arxiv.org
Neural population activity is theorized to reflect an underlying dynamical structure. This
structure can be accurately captured using state space models with explicit dynamics, such …

State-space optimal feedback control of optogenetically driven neural activity

MF Bolus, AA Willats, CJ Rozell… - Journal of neural …, 2021 - iopscience.iop.org
Objective. The rapid acceleration of tools for recording neuronal populations and targeted
optogenetic manipulation has enabled real-time, feedback control of neuronal circuits in the …

Closed-loop neuromodulation in physiological and translational research

S Zanos - Cold Spring Harbor perspectives in …, 2019 - perspectivesinmedicine.cshlp.org
Neuromodulation, the focused delivery of energy to neural tissue to affect neural or
physiological processes, is a common method to study the physiology of the nervous …

[HTML][HTML] Thalamic bursting and the role of timing and synchrony in thalamocortical signaling in the awake mouse

PY Borden, NC Wright, AE Morrissette, D Jaeger… - Neuron, 2022 - cell.com
The thalamus controls transmission of sensory signals from periphery to cortex, ultimately
shaping perception. Despite this significant role, dynamic thalamic gating and the …