Curator Dashboard

This web site focuses on neuroscience, the study of the nervous system. Links on this page are limited to those Dr. Chundler finds to be the most interesting and useful.

• Resource
• SciCrunch
• 16 years ago - by Anonymous

This page leads you to some screen shots from the Color Vision Demonstrations program CVD for IBM PCs and compatibles as described in this reference: Irtel, H. (1992). Color-vision demonstrations on an IBM PC/AT with VGA. Behavior Research Methods, Instruments, & Computers, 24, 88-89. Note that in order to display these images correctly you need a true color display with 8 bits resolution per color channel.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Non profit, private research and education institution that performs molecular and genetic research used to generate methods for better diagnostics and treatments for cancer and neurological diseases. Research of cancer causing genes and their respective signaling pathways, mutations and structural variations of the human genome that could cause neurodevelopmental and neurodegenerative illnesses such as autism, schizophrenia, and Alzheimer's and Parkinson's diseases and also research in plant genetics and quantitative biology.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

This website contains a list of classic articles in visual perception. They are listed alphabetically by the last name if the article''s author.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Vision Science is a large discipline at the ANU that is found in several teaching and research faculties and several large research institutes. About 85 research staff participate in all forms of vision science from machine vision, to neurophysiology, behaviour and cognition. The scale of analysis ranges from molecular to systems approaches and covers insect, vertebrate and human visual systems. Topics such as disease and development of the human visual system are also covered. CVS works to connect and sustain the component parts of the ANU vision science community.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Data analysis service that allows to process CEL files from Affymetrix, Inc. GeneChip Gene 1.0 ST Arrays to identify alternative splicing.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Public research university in New South Wales, Australia which offers degree programs across a wide spectrum of disciplines, as well as providing research facilities to scientists

• Organization
• SciCrunch
• 16 years ago - submitted by Andrea Stagg

Catacomb consists of a set of frameworks for various types of models in neuroscience, user interfaces to facilitate building models within these frameworks, and numerical algorithms to compute their behavior. The available frameworks include reaction kinetics, reaction diffusion systems, kinetic scheme models of ion channels, small neuron models and integrate and fire networks. It is a library of models (data structures and algorithms) covering a range of problems in neuroscience together with a versatile graphical user interface for constructing and running specific instances of the models. Some features of Catacomb include: * Class models. There is a growing set of classes containing data structures and calculation methods for various problem domains in neuroscience - reaction schemes, stochastic channel models, integrate-and-fire networks, cell geometry et al. * Dynamic interface builder. Using Java''s reflection capabilities, individual user interfaces are constructed for each class model allowing new instances to be created and displaying the results of any calculation methods they may contain. * Parameter watching. Using Java threads, the calculations are rerun and results displayed whenever parameters upon which they depend are changed. * Session recording. Operations can be recorded and played back for illustrating how to use Catacomb or for preconfigured demonstrations of model behavior. * Compatible with JPython. Catacomb does not include its own interpreter except in the minimal sense required to parse its own saved files. But its objects and methods are accessible to JPython which can be used for command line access or scripting. * Applet building. The contents of windows in the display can be extracted and packaged together in a single panel for loading as an applet. The model is saved as a java source file which, once compiled, can be packaged with the original Catacomb archive for loading from a Web page. See the AppletConfigEditor.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Combines genetic and epigenetic data to facilitate SNP classification, prioritization and prediction of their functional effect.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

The Compendium is a collection of hypertext summaries on the central topics in computer vision. We have organized an index of about 700 topics. (The top-level categories are listed at the bottom of this message.) Everyone will have written some notes on a few topics - we propose to set up the WWW links from the central index to your text. Thus, everyone can benefit from your efforts, and the computer vision community can advance by having a common set of widely read text materials available at virtually no expense to your library nor students. The Compendium is intended to be a clear summary of methods and applications of computer vision, organized into sections covering the main topics of practice and research. Each section will contain a number of topics, and each topic will be a hyperlink to a set of materials associated with that text. Sponsors: CVonline is a projected funded by the Edinburgh University.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

CONICAL is a C++ class library for building simulations common in computational neuroscience. Currently its focus is on compartmental modeling, with capabilities similar to GENESIS and NEURON. Future classes may support reaction-diffusion kinetics and more. A key feature of CONICAL is its cross-platform compatibility; it has been fully co-developed and tested under Unix, DOS, and Mac OS. Any C++ compiler which adheres to the emerging ANSI standard should be able to compile the CONICAL classes without modification. It is intended to encourage the rapid development of simulator software, especially on non-Unix systems where such software is sorely lacking. The present focus of the CONICAL library of C++ classes is compartmental modeling. A model neuron is built out of compartments, usually with a cylindrical shape. When small enough, these open-ended cylinders can approximate nearly any geometry, just as the stack of cylinders approximates a cone in the logo above. While any compartment has passive electrical properties (like a simple resistor-capacitor circuit), more interesting properties require the use of active ion channels whose conductance varies as a function of the time or membrane voltage. A standard Hodgkin-Huxley ion channel is included as one of the built-in CONICAL object types. Most of the voltage-gated ion channels in the literature can be directly implemented merely by setting the parameters of this class. For extensibility, this class is derived from several layers of more general classes. Connections between neurons can be implemented in several ways. For a gap junction (i.e., simple electrical connection), a passive current (or pair of currents, one in each direction) can be used. Synapses are more complex objects, but used in a similar fashion. The Alpha-function synapse is a very popular model of synaptic transmission, and is a basic CONICAL class. More complex (and realistic) synapses can be built using the Markov-model synapse. (A Markov model can be used on its own for other purposes as well.) In addition to classes directly related to neural modeling, CONICAL contains several other useful object types. These include a current injector, and a column-oriented output stream for storing data in table form.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

The general goal is to achieve a deeper understanding of natural image statistics because from this knowledge it should be possible to explain the behavior of the visual cortex and propose new alternatives in a number of applications in image processing and computer vision in which the basic problem is the choice of an appropriate signal representation. The range of basic and applied topics in which we are currently working include: * Mathematical models of human vision * Statistical image models * Image distortion metrics * Image coding * Motion estimation * Video coding * Image restoration * Color representation

• Resource
• SciCrunch
• 17 years ago - by Anonymous

The Computation and Neural Systems degree program is organized jointly by the Division of Biology, the Division of Engineering and Applied Science, and the Division of Physics, Mathematics and Astronomy. It is the program''s objective to provide a broad knowledge of this inherently multidisciplinary field, while at the same time requiring an appropriate depth of knowledge in the particular field of the thesis research. For example, a student working on cooperative circuits for early visual processing will also develop an in-depth knowledge of the anatomy and electrophysiology of early visual areas and a knowledge of visual psychophysics. A student working on olfactory cortex electrophysiology and its simulation would include the study of concurrent processing and the ethology of olfaction, and the relevant knowledge of dynamical and collective systems. A student working on the theory of complex systems could study collective and statistical properties of physics as well as the anatomical and algorithmic structure of biological and applied networks. Sponsors: The computational and neural systems is funded by the California Institute of Technology.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

An educational site providing accessible information about how the brain works and how people learn

• Resource
• SciCrunch
• 17 years ago - by Anonymous

IEEE is the worlds largest professional association advancing innovation and technological excellence for the benefit of humanity. IEEE and its members inspire a global community to innovate for a better tomorrow through its highly cited publications, conferences, technology standards, and professional and educational activities. IEEE is the trusted voice for engineering, computing and technology information around the globe. Through its global membership, IEEE is a leading authority on areas ranging from aerospace systems, computers and telecommunications to biomedical engineering, electric power and consumer electronics among others. Members rely on IEEE as a source of technical and professional information, resources and services. To foster an interest in the engineering profession, IEEE also serves student members in colleges and universities around the world. Other important constituencies include prospective members and organizations that purchase IEEE products and participate in conferences or other IEEE programs. IEEE has: -more than 375,000 members in more than 160 countries; 45 percent of whom are from outside the United States -more than 80,000 student members -329 sections in ten geographic regions worldwide -1,860 chapters that unite local members with similar technical interests -1,789 student branches in 80 countries -483 student branch chapters at colleges and universities -390 affinity groups -- IEEE Affinity Groups are non-technical sub-units of one or more Sections or a Council. The Affinity Group patent entities are Consultants'' Network, Graduates of the Last Decade (GOLD), Women in Engineering (WIE) and Life Members (LM) IEEE''s core purpose is to foster technological innovation and excellence for the benefit of humanity. It will be essential to the global technical community and to technical professionals everywhere, and be universally recognized for the contributions of technology and of technical professionals in improving global conditions., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Information and human resource exchange services for academia and industries, professional and commercial societies from major industrial sectors and academic organizations. Events: Annual Drug Discovery Science & Technology (IDDST), World DNA and Genome Day celebrating the discovery of DNA double helix structure, Life science Forum, World AIDS Day, Pepcon Conference, iBio and World Cancer Congress.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Extensible, scriptable, pythonic software tool for visualization and analysis in structural neuroimaging research on many spatial scales. Employing the Connectome File Format, diverse data such as networks, surfaces, volumes, tracks and metadata are handled and integrated. The field of Connectomics research benefits from recent advances in structural neuroimaging technologies on all spatial scales. The need for software tools to visualize and analyze the emerging data is urgent. The ConnectomeViewer application was developed to meet the needs of basic and clinical neuroscientists, as well as complex network scientists, providing an integrative, extensible platform to visualize and analyze Connectomics data. With the Connectome File Format, interlinking different datatypes such as hierarchical networks, surface data, volumetric data is easy and might provide new ways of analyzing and interacting with data. Furthermore, ConnectomeViewer readily integrates with: * ConnectomeWiki: a semantic knowledge base representing connectomics data at a mesoscale level across various species, allowing easy access to relevant literature and databases. * ConnectomeDatabase: a repository to store and disseminate Connectome files.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Develops improved methods in analytical chemistry and bioinformatics to capture and utilize metabolomic data. These tools are employed to understand, which parts of larger biochemical networks respond to genetic perturbation or environmental stress.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

This resource is geared towards providing educational video in various fields. All the videos are compiled from various sources and are freely accessible. Some of the topics covered are: - Business - Education - Engineering - Fine Arts & Design - Health & Medicine - History - Humanities - Journalism & Media - Law - Literature - Mathematics - Science - Social Science Sponsors: This resource is supported by YouTube, LLC.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 28,2022. College of Veterinary Medicine Summer Veterinary Student Research Fellowship (SVSRF) Program provides stipends to first- and second-year professional veterinary students for a 12-week summer research experience. The purpose of the program is to introduce veterinary students to research in the hope that some will find this an attractive career option. The student fellows conduct full-time research during a 12-week period in the summer, with the advice and direction of a Faculty Mentor. An orientation to veterinary and biomedical research and the SVSRF program is provided at the beginning of the summer. Weekly lunch seminars and field trips to other research sites broaden and enrich the student''s exposure to veterinary research. The Program concludes with a Research Conference, during which the students present reports on their research activities, and a closing banquet. Student fellows are also strongly encouraged to participate in the Merck-Merial-NIH Veterinary Scholars Symposium with students from over 20 other colleges of veterinary medicine. Sponsor: The program is supported by Texas A&M University

• Resource
• SciCrunch
• 17 years ago - by Anonymous