Curator Dashboard

This resource contains to MATLAB code to make and show videos that can be acquired for free. Data for the movies came from a Macaque attention task. Data on this page came from the multiple-object tracking attention task in a Macaque: The monkeys fixated the white dot at the center of the computer monitor, and four striped stimuli appeared. Their eye position was monitored using an IR camera. The red cross shows where the eyes were pointing throughout each trial. The circle shows the location of the receptive field of the neuron under study during the recording. At the beginning of each trial, either one or two of the stimuli were highlighted, indicating to the monkey that they were the targets of attention. The stimuli then moved to new locations and paused, with one stimulus in the receptive field. After a brief pause, they moved to new locations and the fixation point disappeared. The monkey was rewarded with juice if it then looked at the cued targets. Attention Dask Demo (Avi File) contains Matlab code to make and show movies. Publication from this Dataset: * Differential attention-dependent response modulation across cell classes in macaque visual area V4. JF Mitchell, KA Sundberg, JH Reynolds. Neuron, 2007, 55. 131-141. * Supplemental Material, Neuron, 2007, 55. 131-141. :A Subset of data can be downloaded with analysis routines (easiest to download whole set with full subdirectory structure). Additionally, neuron data files can also be downloaded. :* Routines for Fano Factor, Autocorrelation, and Power Spectra (poster above): :o Plots Spike Waveform and Tests if Significant Visual Response: basic_info.m :o Firing Rate and Fano Factor Analysis (Mitchell et. al, 2007): rate_fano_psth.m :* Routines for Spike-LFP Coherence: :o Spike-LFP Coherence with Rate Normalization (attempting Womelsdorf & Fries, Cosyne, 2008): rate_normalized_coherence.m Sponsors: This work was supported by a grant from the National Eye Institute (EY016161, J.F.M. and J.H.R.), a National Institutes of Health Training Fellowship (J.F.M.), and a National Science Foundation Graduate Research Fellowship (K.A.S.).

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• SciCrunch
• 16 years ago - by Anonymous

The PPI view displays H-InvDB human protein-protein interaction (PPI) information. It is constructed by assigning interaction data to H-InvDB proteins which were originally predicted from transcriptional products generated by the H-Invitational project. The PPI view is now providing 32,198 human PPIs comprised of 9,268 H-InvDB proteins. H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. Sponsors: This research is financially supported by the Ministry of Economy, Trade and Industry of Japan (METI), the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) and the Japan Biological Informatics Consortium (JBIC). Also, this work is partly supported by the Research Grant for the RIKEN Genome Exploration Research Project from MEXT to Y.H. and the Grant for the RIKEN Frontier Research System, Functional RNA research program.

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• SciCrunch
• 17 years ago - by Anonymous

OpenWetWare is an effort to promote the sharing of information, know-how, and wisdom among researchers and groups who are working in biology & biological engineering. OWW provides a place for labs, individuals, and groups to organize their own information and collaborate with others easily and efficiently. In the process, the hope is that OWW will not only lead to greater collaboration between member groups, but also provide a useful information portal to our colleagues, and ultimately the rest of the world. OWW''s approaches to achieve their goals: # Lower the technical barriers to sharing and dissemination of knowledge in biological research # Build a community of researchers in biology and biological engineering that values, practices, and innovates the open sharing of information # Integrate OpenWetWare into existing and future reward structures in research

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• SciCrunch
• 17 years ago - by Anonymous

This site contains the NeSys archive on structure and structure-function data about brain map transformations in the cerebellar system of the rat. This archive presents data not illustrated in the original publications, downloadable original data sets, interactive illustration sequences, including 3-D models. The repository is based on 5 original publications. The publications deal with: - organization of projections to the pontine nuclei from three cortical areas: primary and secondary somatosensory areas (SI and SII), and the primary motor cortex (MI) - organization of pontine neurons projecting to somatosensory representations in the posterior cerebellum The data are also included in the FACCS application, a relational database application with embedded analytical tools, available via the The Rodent Brain Workbench (www.rbwb.org). Sponsors: NeSys Research and Database development is supported by The Research Council of Norway, The European Community (grants QLRT-2000-02256 and QLG3-CT 1999-00763), The Norwegian Consortium for High Performance Computing, and The Jahre Foundation.

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• SciCrunch
• 17 years ago - by Anonymous

A nationwide public health clinical trial conducted to determine the effectiveness of different treatments for people with major depression, in both primary and specialty care settings, who have not responded to initial treatment with an antidepressant. This is the largest and longest study ever done to evaluate depression treatment. The study is completed and no longer recruiting participants. Each of the four levels of the study tested a different medication or medication combination. The primary goal of each level was to determine if the treatment used during that level could adequately treat participants����?? major depressive disorder (MDD). Those who did not become symptom-free could proceed to the next level of treatment. The design of the STAR*D study reflects what is done in clinical practice because it allowed study participants to choose certain treatment strategies most acceptable to them and limited the randomization of each participant only to his/her range of acceptable treatment strategies. No prior studies have evaluated the different treatment strategies in broadly defined participant groups treated in diverse care settings. Over a seven-year period, the study enrolled 4,041 outpatients, ages 18-75 years, from 41 clinical sites around the country, which included both specialty care settings and primary medical care settings. Participants represented a broad range of ethnic and socioeconomic groups. All participants were diagnosed with MDD, were already seeking care at one of these sites, and were referred to the trial by their doctors. * STAR*D Study Medications: Citalopram (Celexa), Sertraline (Zoloft), Bupropion SR (Wellbutrin SR), Venlafaxine XR (Effexor XR), Buspirone (BuSpar), Mirtazapine (Remeron), Triiodothyronine (T3) (Cytomel), Nortriptyline (Pamelor, Aventyl), Tranylcypromine (Parnate), Lithium (Eskalith, Lithobid) *STAR*D Talk Therapy:Cognitive Therapy

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• SciCrunch
• 16 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The Movement Disorder Virtual University is the healthcare professional's source for movement disorder news, resources and educational activities. MDVU is brought to you by WE MOVE, a not-for-profit organization that has been educating and informing the movement disorder community for over a decade. WE MOVE believes that increased knowledge and understanding promote timely, accurate diagnosis and up-to-date treatment, resulting in a better quality of life for individuals affected by movement disorders. Educational Programs and Resources for Professionals WE MOVE's mission is to facilitate the communication of emerging clinical advances and therapeutic approaches to the management and treatment of movement disorders. Through its award-winning, HON-compliant Web site and as an accredited provider of continuing medical education (CME), WE MOVE strives to meet the educational needs of providers. WE MOVE develops up-to-date training programs and comprehensive, interactive teaching materials to assist professionals in deepening their understanding of neurologic movement disorders, their pathophysiology, etiology, differential diagnosis and state-of-the-art interventions. Case-based Learning (CBL) WE MOVE Case-based Learning (CBL) modules provide an environment that allows for participative learning a well-recognized tool to facilitate the adult learning experience. This self-paced, private learning environment encourages physicians to employ a problem-solving approach, walking step-by-step through the case history, family history, and symptomatology of the patient featured in the case. WE MOVE CBL modules illustrate the diagnostic process and varied approaches to treatment utilized by the thought leader who submitted the case, an invaluable experience for physicians looking to expand their expertise in the diagnosis and treatment of movement disorders. The depth of the WE MOVE CBL learning technology allows each case to highlight treatment of certain aspects of the condition or the efficacy of a given treatment regimen at different stages of disorder progression further enriching the physician's learning experience. For therapies requiring specific expertise in administration (e.g., injectable therapies), video footage of the therapeutic procedure itself enhances the depth of the experience. Co-location of WE MOVE CBL modules within the MDVU creates an unrivaled learning environment for physician education. WE MOVE CBL modules are available at no charge to physicians, 24 hours a day, seven days a week.

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• SciCrunch
• 17 years ago - by Anonymous

The Medical College of Georgia Animal Behavior Center has considerable experience testing the short-term memory and attention capabilities of non-human primates. Testing programs are available to MCG faculty on a collaborative basis, and they are available for contractual agreements with pharmaceutical companies and other external research programs. Delayed-response testing is a well-established means of examining neurochemical, neuroanatomical and therapeutic aspects of ATD, ADHD and schizophrenia. Behavioral paradigms at the Animal Behavior Center are designed around an automated delayed-response task assessing the function of mnemonic and attention processes. Particularly significant is the fact that each paradigm differs regarding the relative emphasis on these two different, yet interdependent, cognitive constructs. The Animal Behavior Center also is experienced in stereotaxic implantation of intracranial electrodes and cannulas in rodents and non-human primates. The basic approaches and procedures of the Animal Behavior Center include: - Delayed Matching-to-Sample (DMTS) - DMTS With a Distractor During the Delay Interval - DMTS With a Titrated Delay Interval

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• SciCrunch
• 17 years ago - by Anonymous

Merger of the Max Planck Institute of Neurobiology and the Max Planck Institute of Ornithology and has been renamed to Circuits - Computation – Models. Department devoted to the study of how the brain computes to understand neural information processing at the level of individual neurons and small neural circuits.

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• SciCrunch
• 17 years ago - by Anonymous

Imaging core offering multiple small animal imaging modalities including MicroSPECT, Optical imaging, MicroCT and Ultrasound have been centralized together with a unit for probe development and a vivarium for the housing of animals in one laboratory.

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• SciCrunch
• 17 years ago - by Anonymous

Special interest group that brings together program officers who have a shared interest in applying modeling and analysis methods to biomedical systems. The meetings are formatted to facilitate an open discussion of what is currently being supported, and for planning future directions in these areas. At each meeting, time is allotted to hear focused presentations from one or two participants to discuss issues relating to modeling and analysis across the government agencies. Discussions also occur online, and participants are informed of talks, conferences and other activities of interest to the group. IMAG recognized that the modeling community is on the forefront of thinking across the biological continuum, rather than just focusing at one scale or level of resolution. In addition IMAG identified a strong desire among modelers to form multi-disciplinary partnerships across varied research communities. Overall Intent of IMAG through the MSM Consortium is: * To develop new methodologies that span across biological scales * To develop multiscale methodologies applicable to biomedical, biological and behavioral research * To develop methodologies within the local multidisciplinary team and within the larger Framework environment * To further promote multiscale modeling through model sharing This wiki contains information relevant to the IMAG (Interagency Modeling and Analysis Group) and the MSM (Multi-scale Modeling Consortium).

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• SciCrunch
• 17 years ago - by Anonymous

Software that currently allows to process an amount of bisulfite sequencing reads obtained in one or several bisulfite sequencing experiments.

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• SciCrunch
• 13 years ago - by Anonymous

The USC Brain Project is engaged in the effort to develop new tools and methodologies for neuroinformatics in modeling neural mechanisms of visuomotor coordination and exploring the evolution of the human language-ready brain, as well as conducting work in both neural modeling and database construction in relation to rehabilitation after stroke. Sponsors: USCBP is funded by the University of Southern California.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 28, 2013. (URL is no longer valid) A platform for high-throughput proteomic analysis. Major objectives of IPP include the establishment of a broadly applicable platform of routine methods for the analysis of protein interaction networks in bio-medical research. A multidisciplinary approach will address; * their validation by cell biological, biochemical and biophysical methods. * their collection in a new type of public database. * their exploitation and use for in silico simulations of protein-interaction networks. The innovations generated in IPP will provide the basis for an efficient analysis and systems modeling of fundamental biological processes in health and disease. It will develop novel technology, including a high-end mass spectrometer with extremely large dynamic range, high-density peptide arrays, and improved visualization technology for light and electron microscopy. Additionally, the novel technologies will be validated with selected model systems of high relevance to medicine and biotechnology. Extensive bioinformatics support is a key element in the project to cope with the massive increase in experimental data on protein interactions obtained using the novel technologies. In particular, the efficient integration of disparate data sets represents a key challenge in proteomics and functional genomics. Therefore, the consortium includes the creator of the only European protein-interactions database, MINT. The multi-disciplinary efforts required in the scientific program of IPP are organized into four sub-projects (SP): * SP1: Tools for interaction analysis - SP1 is dedicated to the development of innovative proteomics technology to map protein-interaction networks and their cellular topology for the interaction analyses in SP2 and SP3. * SP2: Identification of interaction partners for protein domains - SP2 will generate (high throughput) data for important protein-protein interactions defined by bioinformatics and biomedical interest and by SP3, utilizing technology developed in SP1. * SP3: Functional analysis of interactions - SP3 focuses on the validation of technologies and tools developed in SP1. It will perform functional analyses of protein-interactions in medically and biochemically relevant prokaryotic and eukaryotic (mammalian) model systems. * SP4: Interactome database and modelling - SP4 provides the required bioinformatics infrastructure for the project, comprising the improvement of the public MINT database for the collection and dissemination of the interactome data; modelling and simulation of protein-interaction networks characterised in SP2 and SP3; and the dissemination of the technology developments to the scientific community.

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• SciCrunch
• 17 years ago - by Anonymous

Consortium set out to identify the molecular, cellular, and behavioral neuroadaptations that occur in the brain reward circuits associated with the extended amygdala and its connections. It is hypothesized that genetic differences and/or neuroadaptations in this circuitry are responsible for the individual differences in vulnerability to the excessive consumption of alcohol. Chronic exposure to alcohol results in neuroadaptive phenomena, including tolerance, sensitization, dependence, withdrawal, loss of control of drinking, and relapse that contribute to the development of excessive alcohol consumption. The INIA has the following goals: 1) To establish animal models to study specific neurobiological targets for vulnerability that lead to excessive consumption of alcohol at the molecular, cellular and neural circuit level of analysis, 2) To identify specific clusters of genes whose expression is regulated by alcohol and which are responsible for any given model of excessive alcohol consumption using gene expression arrays, differential display, mutagenesis directed at specific brain areas, and the development of new informatics tools to analyze and interpret gene expression, cellular circuitry and brain circuitry data with the use of transgenic and knockout approaches, and 3) To attract new and innovative investigators to the field of alcohol research by recruiting individuals for development of U01 grants and pilot projects and by developing online interactive capacity among INIA scientists and others, and by making the neuroinformatics integrated data sets accessible, searchable and interactive with other databases for all scientists interested in alcoholism research. The structure of INIA is envisioned as two domains, Dependence-induced drinking and Binge drinking, comprised of multiple U01 research grants. The flow of information within each domain moves from molecular, to cellular, to neurocircuitry levels of analysis. These U01s share information with the core facilities, which act as data depositories. The Administrative Core coordinates the flow of information among the Domains and Cores and disseminates the information back to the U01s. A Pilot Project program will identify exciting new areas for research and the continual recruitment of new investigators to the alcohol field. The INIA program is directed by an Administrative Core in close cooperation with the Animal Models, Gene Array and Neurocircuitry Cores via a Steering Committee and with the continual advice of the Scientific Advisory Committee.

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• SciCrunch
• 17 years ago - by Anonymous

The aim of this laboratory is to understand how information is encoded in specific spatiotemporal activity patterns and structural configurations at the circuit, cellular, and molecular levels in the hippocampus, thereby enabling the process of memory. A major task is to find the neuronal codes of internal representations of memory items and the mapping rules between the levels of gene expression/proteins synthesis and the level of cognitive processing. Novel combinations of approaches, including multiple single-cell recording technology, patch-clamp electrophysiology, neuroanatomy/neurochemistry at the cellular and subcellular levels, and computational models are employed to test specific hypotheses about that mapping process (such as local circuit anatomy and activity-dependent short-term and long-term synaptic plasticity). Collaborations within the Institute allows the group to also incorporate gene targeting methods and behavioral learning/memory tests in their methodological repertoire. The laboratory has been focusing on the normal and pathological (epileptic, ischemic) activity of cortical networks, with particular attention to the generation of behaviour-dependent population discharge patterns (theta and gamma oscillations, hippocampal sharp waves). Anatomical, in vitro and in vivo electrophysiological, pharmacological and molecular techniques and modeling are combined to elucidate the functional roles of inhibitory cell types in the control of population synchrony and synaptic plasticity in the hippocampus, their local and subcortical modulation via selective afferent pathways (GABAergic and cholinergic septal, as well as serotonergic raphe input) and pre- or postsynaptic receptors. An expanding new direction of research is related to the role of endocannabinoid signaling in the activity-dependent modulation of GABAergic and glutamatergic transmission, and its involvement in anxiety-like behavior.

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• SciCrunch
• 17 years ago - by Anonymous

Web-based tool used to mine human protein-protein interactions (PPIs) from PubMed abstracts based on their co-occurrences and interaction words, followed by evidencs in human PPI databases and shared terms in GO database.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

3D interactive atlas of two mouse brains, 129S1/SvImJ and C57Bl/6J. The aim of this resource is to enhance comparative morphometric analyses and stereotactic surgical procedures in mice. These representations of the murine brain and skull, in conjunction with the resource''s development of a new, more dynamic master coordinate system, provide improved accuracy with respect to targeting CNS structures during surgery compared with previous systems. The interactive three-dimensional nature of these atlases also provide users with stereotactic information necessary to perform accurate off-axis surgical procedures, as is commonly required for experiments such as in vivo micro-electroporation. In addition, three-dimensional analysis of the brain and skull shape in C57Bl, 129Sv, CD1, and additional murine strains, suggests that a stereotactic coordinate system based upon the lambda and rostral confluence of the sinuses at the sagittal midline, provides improved accuracy compared with the traditional lambdabregma landmark system. These findings demonstrate the utility of developing highly accurate and robust three-dimensional representations of the murine brain and skull, in which experimental outputs can be directly compared using a unified coordinate system.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Public research university in Hefei, Anhui, China, under direct leadership of Chinese Academy of Sciences. Member of elite C9 League. Chinese state Class A Double First Class University.

• Organization
• SciCrunch
• 13 years ago - submitted by Stephen Larson

GoFigure is a software platform for quantitating complex 4d in vivo microscopy based data in high-throughput at the level of the cell. A prime goal of GoFigure is the automatic segmentation of nuclei and cell membranes and in temporally tracking them across cell migration and division to create cell lineages. GoFigure v2.0 is a major new release of our software package for quantitative analysis of image data. The research focuses on analyzing cells in intact, whole zebrafish embryos using 4d (xyzt) imaging which tends to make automatic segmentation more difficult than with 2d or 2d+time imaging of cells in culture. This resource has developed an automatic segmentation pipeline that includes ICA based channel unmixing, membrane nuclear channel subtraction, Gaussian correlation, shape models, and level set based variational active contours. GoFigure was designed to meet the challenging requirements of in toto imaging. In toto imaging is a technology that we are developing in which we seek to track all the cell movements and divisions that form structures during embryonic development of zebrafish and to quantitate protein expression and localization on top of this digital lineage. For in toto imaging, GoFigure uses zebrafish embryos in which the nuclei and cell membranes have been marked with 2 different color fluorescent proteins to allow cells to be segmented and tracked. A transgenic line in a third color can be used to mark protein expression and localization using a genetic approach that this resource developed called FlipTraps or using traditional transgenic approaches. Embryos are imaged using confocal or 2-photon microscopy to capture high-resolution xyzt image sets used for cell tracking. The GoFigure GUI will provide many tools for visualization and analysis of bioimages. Since fully automatic segmentation of cells is never perfect, GoFigure will provide easy to use tools for semi-automatically and manually adding, deleting, and editing traces in 2d (figures-xy, xz, or yz), 3d (meshes- xyz), 4d (tracks- xyzt) and 4d+cell division (lineages). GoFigure will also provide a number of views into complex image data sets including 3d XYZ and XYT image views, tabular list views of traces, histograms, and scattergrams. Importantly, all these views will be linked together to allow the user to explore their data from multiple angles. Data will be easily sorted and color-coded in many ways to explore correlations in higher dimensional data. The GoFigure architecture is designed to allow additional segmentation, visualization, and analysis filters to be plugged in. Sponsors: GoFigure is developed by Harvard University., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.