A5052908164- Neural dynamics and brain function
- Cell Image Analysis Techniques
- Plant and animal studies
- Insect and Arachnid Ecology and Behavior
- Neural Networks and Applications
- Advanced Memory and Neural Computing
- Machine Learning in Materials Science
- Neurobiology and Insect Physiology Research
- Insect and Pesticide Research
- Single-cell and spatial transcriptomics
- Music and Audio Processing
- Advanced Chemical Sensor Technologies
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Cognitive Science and Mapping
- Olfactory and Sensory Function Studies
- Animal Behavior and Reproduction
- Block Copolymer Self-Assembly
- Gene Regulatory Network Analysis
Ronin Institute
2021-2023
Arizona State University
2015-2019
University of Illinois Urbana-Champaign
2010
A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling propagating waves visual cortex Alain Destexhe A3 Dynamics and biomarkers mental disorders Mitsuo Kawato F1 Precise recruitment spiking output at theta frequencies requires dendritic h-channels multi-compartment models oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods reconstruction current sources from extracellular...
Computational models are powerful tools for exploring the properties of complex biological systems. In neuroscience, data-driven neural circuits that span multiple scales increasingly being used to understand brain function in health and disease. But their adoption reuse has been limited by specialist knowledge required evaluate use them. To address this, we have developed Open Source Brain, a platform sharing, viewing, analyzing, simulating standardized from different regions species. Model...
As researchers develop computational models of neural systems with increasing sophistication and scale, it is often the case that fully de novo model development impractical inefficient. Thus arises a critical need to quickly find, evaluate, re-use, build upon components developed by other researchers. We introduce NeuroML Database (NeuroML-DB.org), which has been address this complement sharing resources. NeuroML-DB stores over 1,500 previously published ion channels, cells, networks have...
NeuroML is an extensible markup language for describing complex mathematical models of neurons and neuronal networks. unique in its modular, multi-scale structure -- not only can entire be exchanged, but subcomponents these that correspond to neuroscience objects, like channels or synapses, also shared reimplemented a different model. This paper presents the design, implementation, evaluation ontology-assisted search models. Specifically, describes design system, including database stores...
ABSTRACT Validating a quantitative scientific model requires comparing its predictions against many experimental observations, ideally from labs, using transparent, robust, statistical comparisons. Unfortunately, in rapidly-growing fields like neuroscience, this is becoming increasingly untenable, even for the most conscientious scientists. Thus merits and limitations of existing models, or whether new an improvement on state-of-the-art, often unclear. Software engineers seeking to verify,...
Abstract Computational models are powerful tools for investigating brain function in health and disease. However, biologically detailed neuronal circuit complex implemented a range of specialized languages, making them inaccessible opaque to many neuroscientists. This has limited critical evaluation by the scientific community impeded their refinement widespread adoption. To address this, we have combined advances standardizing models, open source software development web technologies...
Many scientifically and agriculturally important insects use antennae to detect the presence of volatile chemical compounds extend their proboscis during feeding. The ability rapidly obtain high-resolution measurements natural antenna movements assess how they change in response chemical, developmental, genetic manipulations can aid understanding insect behavior. By extending our previous work on assessing aggregate swarm or animal group from laboratory videos using video analysis software...
ABSTRACT Many scientifically and agriculturally important insects use antennae to detect the presence of volatile chemical compounds extend their proboscis during feeding. The ability rapidly obtain high-resolution measurements natural antenna movements assess how they change in response chemical, developmental, genetic manipulations can aid understanding insect behavior. By extending our previous work on assessing aggregate swarm or animal group from laboratory videos using video analysis...
Many scientifically and agriculturally important insects use antennae to detect the presence of volatile chemical compounds extend their proboscis during feeding. The ability rapidly obtain high-resolution measurements natural antenna movements assess how they change in response chemical, developmental, genetic manipulations can aid understanding insect behavior. By extending our previous work on assessing aggregate swarm or animal group from laboratory videos using video analysis software...
In this paper we present AMPNet, an acoustic abnormality detection model deployed at ACV Auctions to automatically identify engine faults of vehicles listed on the platform. We investigate problem fault and discuss our approach deep-learning based audio classification a large-scale automobile dataset collected Auctions. Specifically, data collection pipeline its challenges, preprocessing training procedures, deployment trained models into production setting. perform empirical evaluations...
Abstract As researchers develop computational models of neural systems with increasing sophistication and scale, it is often the case that fully de novo model development impractical inefficient. Thus arises a critical need to quickly find, evaluate, re-use, build upon components developed by other researchers. We introduce NeuroML Database ( NeuroML-DB.org ), which has been address this complement sharing resources. NeuroML-DB stores over 1,500 previously published ion channels, cells,...
Human observers are able to quickly and efficiently perceive the content of natural scenes (Potter, 1976). Previous studies have examined time course this rapid classification (Thorpe et al, 1996) as well brain regions activated when subjects categorize (Epstein & Higgins, 2006). Using statistical pattern recognition algorithms similar those employed by Cox Savoy (2002) decode neural states associated with object categories, we asked whether can identify discriminate distributed patterns...