A5005428514- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Functional Brain Connectivity Studies
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Photoreceptor and optogenetics research
- Microfluidic and Capillary Electrophoresis Applications
- Memory and Neural Mechanisms
- Bioinformatics and Genomic Networks
- Liver physiology and pathology
- RNA Research and Splicing
- Neurobiology of Language and Bilingualism
- Receptor Mechanisms and Signaling
- Neuroscience and Music Perception
- Computational Drug Discovery Methods
- Neural Networks and Applications
- RNA modifications and cancer
- stochastic dynamics and bifurcation
- Reading and Literacy Development
- Advanced Memory and Neural Computing
- Pancreatic function and diabetes
- Sleep and Wakefulness Research
Boston University
2012-2024
Health First
2024
Massachusetts Institute of Technology
2019-2022
Center for Systems Biology
2018
University of California, San Diego
2010-2012
The anesthetic propofol elicits many different spectral properties on the EEG, including alpha oscillations (8–12 Hz), Slow Wave Oscillations (SWO, 0.1–1.5 and dose-dependent phase-amplitude coupling (PAC) between SWO. Propofol is known to increase GABAA inhibition decrease H-current strength, but how it generates these rhythms their interactions still unknown. To investigate both generation of rhythm its PAC SWO, we simulate a Hodgkin-Huxley network model hyperpolarized thalamus...
DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It designed to speed up simplify the process generating, sharing, exploring network neurons with one or more compartments. Models can be specified by equations directly (similar XPP Brian simulator) lists predefined custom model components. The higher-level specification supports arbitrarily complex population networks interconnected populations. also includes a large...
Abstract A crucial step in lead selection during drug development is accurate estimation and optimization of hepatic clearance using vitro methods. However, current methods are limited by factors such as lack physiological relevance, short culture/incubation times that not consistent with exposure patterns patients, use absorbing materials, evaporation long-term incubation. To address these technological needs, we developed a novel milli-fluidic human liver tissue chip (LTC) was designed...
Prior neuroimaging evidence indicates that decision conflict activates medial and lateral prefrontal parietal cortices. Theoretical accounts of cognitive control highlight anterior cingulate cortex (ACC) as a central node in this network. However, better understanding the relative primacy functional contributions these areas to requires insight into neural dynamics successive processing stages including detection, response selection execution. Moderate alcohol intoxication impairs it...
Cognition involves using attended information, maintained in working memory (WM), to guide action. During a cognitive task, correct response requires flexible, selective gating so that only the appropriate information flows from WM downstream effectors carry out response. In this work, we used biophysically-detailed modeling explore hypothesis network oscillations prefrontal cortex (PFC), leveraging local inhibition, can independently gate responses items WM. The key role of inhibition was...
Oscillations are ubiquitous features of brain dynamics that undergo task-related changes in synchrony, power, and frequency. The impact those on target networks is poorly understood. In this work, we used a biophysically detailed model prefrontal cortex (PFC) to explore the effects varying spike rate, waveform strong oscillatory inputs behavior cortical driven by them. Interacting populations excitatory inhibitory neurons with feedback inhibition inhibition-based network oscillators exhibit...
Subjects detected rarely occurring shifts between two simple tone-patterns, in a paradigm that dissociated the effects of rarity from those pitch, habituation, and attention. Whole-head magnetoencephalography suggested rare attended pattern-shifts evoked activity first superior temporal plane (sTp, peak ~100 ms), then sulcus (sTs, ~130 posteroventral prefrontal (pvpF, ~230 anterior cortices (aT, ~370 ms). Activity was more prominent right hemisphere. After subtracting nonshift tones...
REM sleep is important for the processing of emotional memories, including fear memories. Rhythmic interactions, especially in theta band, between medial prefrontal cortex (mPFC) and limbic structures are thought to play an role, but ways which memory occurs at a mechanistic circuits level largely unknown. To investigate how rhythmic interactions lead extinction during sleep, we used biophysically based model that included infralimbic (IL), part mPFC with critical role suppressing Theta...
Abstract The anterior cingulate cortex (ACC) is vital for a range of brain functions requiring cognitive control and has highly divergent inputs outputs, thus manifesting as hub in connectomic analyses. Studies show diverse functional interactions within the ACC are associated with network oscillations β (20–30 Hz) γ (30-80 frequency range. Oscillations permit dynamic routing information cortex, function that depends on bandpass filter–like behavior to selectively respond specific inputs....
Classical accounts of biased competition require an input bias to resolve the between neuronal ensembles driving downstream processing. However, flexible and reliable selection behaviorally relevant can occur with unbiased stimulation: striatal D1 D2 spiny projection neurons (SPNs) receive balanced cortical input, yet their activity determines choice GO NO-GO pathways in basal ganglia. We here present a corticostriatal model identifying three mechanisms that rely on physiological asymmetries...
Abstract A crucial step in lead selection during drug development is accurate estimation and optimization of hepatic clearance using vitro methods. However, current methods are limited by factors such as lack physiological relevance, short culture/incubation times that not consistent with exposure patterns patients, use absorbing materials, evaporation long-term incubation. To address these technological needs, we developed a novel milli-fluidic human liver tissue chip (LTC) was designed...
Abstract Cognition involves using attended information, maintained in working memory (WM), to guide action. During a cognitive task, correct response requires flexible, selective gating so that only the appropriate information flows from WM downstream effectors carry out response. In this work, we used biophysically-detailed modeling explore hypothesis network oscillations prefrontal cortex (PFC), leveraging local inhibition, can independently gate responses items WM. The key role of...
Abstract Accurate clinical translation of preclinical research remains challenging, primarily due to species-specific differences and disease patient heterogeneity. An important recent advancement has been development microphysiological systems that consist multiple human cell types recapitulate key characteristics their respective systems, allowing essential physiologic processes be accurately assessed during drug development. However, an unmet need regarding a quantitative method evaluate...
Accurate clinical translation of preclinical research remains challenging, primarily due to species‐specific differences and disease patient heterogeneity. An important recent advancement has been development microphysiological systems that consist multiple human cell types recapitulate key characteristics their respective systems, allowing essential physiologic processes be accurately assessed during drug development. However, an unmet need regarding a quantitative method evaluate the...
Abstract Neurophysiology studies propose that predictive coding is implemented via alpha/beta (8-30 Hz) rhythms prepare specific pathways to process predicted inputs. This leads a state of relative inhibition, reducing feedforward gamma (40-90 and spiking predictable We refer this model as routing. It currently unclear which circuit mechanisms implement push-pull interaction between rhythms. To explore how routing implemented, we developed self-supervised learning algorithm call generalized...
Classical accounts of biased competition (BC) require an input bias to resolve the between neuronal ensembles driving downstream processing. However, flexible and reliable selection behaviorally-relevant can occur with unbiased stimulation: striatal D1 D2 spiny projecting neurons (SPNs) receive balanced cortical input, yet their activity determines choice GO NO-GO pathways in basal ganglia. We present a corticostriatal model identifying three mechanisms that rely on physiological asymmetries...
Abstract Persistent activity, the maintenance of neural activation over short periods time in cortical networks, is widely thought to underlie cognitive function working memory. A large body modeling studies has reproduced this kind activity using cell assemblies with strengthened synaptic connections. However, almost all these have considered persistent within networks homogeneous neurons and synapses, making it difficult judge validity such model results for dynamics, which based on highly...
<b>Abstract ID 16647</b> <b>Poster Board 382</b> Over the past decade, substantial investments of government funding and venture capital have produced novel technologies more intact systems that represent human organ physiology. These advances include cell culture go beyond single type monolayer cultures, such as organoids, spheroids, co-cultures in 2D 3D formats, tissue chip can replicate several (liver, gut, kidney). <i>Human chips</i>, aka microphysiological (MPS), are traditionally...