A5042807760- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Blind Source Separation Techniques
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Neuroendocrine regulation and behavior
- Photoreceptor and optogenetics research
- Advanced Memory and Neural Computing
- Advanced Sensor and Energy Harvesting Materials
- Neuroscience and Neuropharmacology Research
- Stress Responses and Cortisol
- Advanced Image Processing Techniques
- Optical Imaging and Spectroscopy Techniques
- Adhesion, Friction, and Surface Interactions
- Advanced Vision and Imaging
- Caching and Content Delivery
- Data Management and Algorithms
- Gaze Tracking and Assistive Technology
- Generative Adversarial Networks and Image Synthesis
- Connexins and lens biology
- Educational Methods and Media Use
- Computer Graphics and Visualization Techniques
- Digital Filter Design and Implementation
- Internet of Things and Social Network Interactions
- Additive Manufacturing and 3D Printing Technologies
Gwangju Institute of Science and Technology
2011-2024
National Institute on Drug Abuse
2022
National Institutes of Health
2022
Rutgers, The State University of New Jersey
2015-2018
Chung-Ang University
2017
Brown University
2010-2014
University of Houston
2010
We recorded basolateral amygdala (BL) neurons in a seminaturalistic foraging task. Rats had to leave their nest retrieve food an elongated arena inhabited by mechanical predator. There were marked trial-to-trial variations behavior. After poking head into the and waiting there for while, rats either retreated or initiated foraging. Before initiating foraging, waited longer on trials that followed failed than successful indicating prior experience influenced Upon initiation, most principal...
Motor imagery (MI)-based brain-computer interface systems (BCIs) normally use a powerful spatial filtering and classification method to maximize their performance. The common pattern (CSP) algorithm is widely used for MI-based BCIs. In this work, we propose new sparse representation-based (SRC) scheme BCI applications. Sensorimotor rhythms are extracted from electroencephalograms classification. proposed SRC utilizes the frequency band power CSP extract features We analyzed performance of...
Gap junctions (GJs) electrically couple GABAergic neurons of the forebrain. The spatial organization neuron clusters coupled by GJs is an important determinant network function, yet it poorly described for nearly all mammalian brain regions. Here we used a novel dye-coupling technique to show that in thalamic reticular nucleus (TRN) mice and rats form two types GJ-coupled with distinctive patterns axonal projections. Most are elongated narrowly along functional modules within plane TRN,...
Principal basolateral amygdala (BL) neurons profoundly influence motivated behaviors, yet few of them are activated by emotionally valenced stimuli. Here, we show that a likely explanation for this paradox is the synchronizing high-gamma rhythm. High-gamma (75–95 Hz) entrained BL firing more strongly than all other rhythms. It was most pronounced during states increased vigilance, when rats were apprehensive. Relative to behavioral states, produced minor changes in rates dramatic increases...
The prefrontal cortex is involved in goal-directed behavior. Here, we investigate circuits of the PFC regulating motivation, reinforcement, and its relationship to dopamine neuron activity. Stimulation medial (mPFC) neurons mice activated many downstream regions, as shown by fMRI. Axonal terminal stimulation mPFC including anteromedial thalamic nucleus (AM), reinforced behavior midbrain dopaminergic neurons. AM projecting also neurons, showed a positive-feedback loop organization. We found...
A portable hybrid brain monitoring system is proposed to perform simultaneous 16-channel electroencephalogram (EEG) and 8-channel functional near-infrared spectroscopy (fNIRS) measurements. Architecture-optimized analog frontend integrated circuits (Texas Instruments ADS1299 ADS8688A) were used simultaneously achieve 24-bit EEG resolution reliable latency-less (<;0.85 μs) bio-optical Suppression of the noise crosstalk generated by digital circuit components flashing NIR light sources was...
Abstract In the lateral amygdala (LA), training-induced increases in neuronal responsiveness to conditioned stimuli (CSs) reflect potentiated sensory responses that drive behaviours (CRs) via LA’s targets. The basolateral nucleus of (BL) receives LA inputs and projects various subcortical sites can aversive appetitive CRs. Consistent with this, BL neurons also develop increased CSs predict rewarding or outcomes. This activity is thought neurons. Here we contrast CS-related when rats produced...
This paper presents a new efficient method for implementing the Hilbert transform using an all-pass filter, based on fractional derivatives (FDs) and swarm optimization. In proposed method, squared error difference between desired designed responses of filter is minimized. FDs are introduced to achieve higher accuracy at reference frequency ( ω0 ), which helps reduce overall phase error. this paper, two approaches used finding appropriate values frequencies. first approach, these estimated...
Dry contact electrode-based EEG acquisition is one of the easiest ways to obtain neural information from human brain, providing many advantages such as rapid installation, and enhanced wearability. However, high impedance due insufficient electrical coupling at electrode-scalp interface still remains a critical issue. In this paper, two-wired active dry electrode system proposed by combining finger-shaped spring-loaded probes buffer circuits. The shrinkable bootstrap topology-based circuitry...
Electroencephalogram (EEG) based brain-computer interface (BCI) provides a new communication and control channel for people with severe motor disabilities. Motor imagery sensorimotor rhythm (SMR) analysis is one of the widely used methods in BCI field. However, these signals are very noisy strongly depends on subjects. Therefore, it difficult to classify them thus more powerful classification needed. In this paper, we propose method sparse representation EEG ell-1 minimization. Using Mu...
For the design of electroencephalography (EEG) based BCI systems, crucial issues are to acquire high fidelity EEG signals and provide convenient installation users. Electrodes key components which measure from user's scalp. In this paper, we introduce a dry electrodes for systems. The proposed equipped with six spring loaded probes. They capable acquiring good enough quality without usage conductive gels. To verify performance electrodes, contact impedance compare them those conventional wet...
In this paper, we aim to introduce a design of active dry electrodes for EEG based BCI systems. The proposed consist probes and an circuit easy installation higher quality recording. To verify the evaluation electrodes, tried detect alpha rhythms as typical feature by using our own acquisition boards Matlab. Experimental results show that power rhythm reaches over 50 percent after 10 seconds when subject closes his eyes. We will performance through various analysis such detection visual...
Abstract Having the ability to attach an object remote surfaces from a distance can be useful in range of applications. While adhesive technologies have advanced significantly and are used various ways, including medical tools robotics, most adhesives like tapes or glues designed directly attached physically accessible surfaces. Here, new class shootable is reported that deployed dynamically spread out mid‐air, transforming en‐route into wide, thin disk shape ideal for conformal contact...
The unique mechanical characteristics of stretchable electronics has significantly expanded applications by overcoming the limitations (rigid, planar) conventional electronics. However, most reported are two dimensionally (laterally in
Attempts are being made to make brain-computer interface system (BCIs) commercially viable for normal person. Stable performance is essential so that BCIs could widely be used general public. We propose a new classification method based on sparse representation of EEG signals and L1 minimization. The proposed use the common spatial filtering (CSP) band power feature classification. compare accuracy conventional linear discriminant analysis (LDA) method. Our shows improved over LDA regardless...
In this paper, we introduce a functional near-infrared spectroscopy-based brain-monitoring system consisting of data acquisition board, photodiode units, and dual-wavelength LED units. The ADS8688A analog frontend-integrated circuit-based board provides reliable high-resolution bio-optical measurements for portable brain monitoring. Moreover, its isolated linear regulator-based low-noise power supply circuit allows maintaining measurement quality by blocking inter-circuit crosstalk. From the...