neuroinformatics

neuroinformatics
Tremendous advances in functional, anatomical, and behavioral techniques has led to a large increase in the amount of new data available for modeling efforts at many levels of abstraction: from in-depth descriptions and analyses of individual membrane channels to large scale investigation
of whole brain activity using fMRI and other imaging techniques. This wealth of data is essential for investigating the link between realistic brain models and behavior, and requires the development of new and powerful tools that assist the neuroscientist in designing, testing, and analyzing large-scale neural models.

ya Papers
 

- KInNeSS: A modular framework for computational neuroscience. Massimiliano Versace, Heather Ames, Jasmin Leveille, Bret Fortenberry, Himanshu Mhatre, and Anatoli Gorchetchnikov. Neuroinformatics, In press. Download the PDF version. [2007]

ya Abstracts
 

- General form of learning algorithms for neuromorphic hardware implementation. Anatoli Gorchetchnikov, Massimiliano Versace, Heather Ames, Jasmin Leveille, Arash Yazdanbakhsh, Ben Chandler, Ennio Mingolla, Greg Snider. The international Computational Neuroscience meeting (CNS), San Antonio, TX, July 2010. [2010]  

- How to build a brain on a nanochip. Versace, M., Gorchetichnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. NSF CELEST site visit, Boston, MA, March 2010. [2010]

- KInNeSS: A modular framework for computational neuroscience. Massimiliano Versace, Heather Ames, Jasmin Leveille, Bret Fortenberry, Himanshu Mhatre, and Anatoli Gorchetchnikov.  ICCNS 2008, Boston, MA, USA. See abstract.[2008]

- Applying the Methods of Experimental Data Visualization to Neuronal Simulations. Versace M, Gorchetchnikov A and Grossberg S. Poster, International Conference on Cognitive and Neural Systems (ICCNS 2005). Download the PDF version. [2005]

- KInNeSS: A new software environment for simulations of neuronal activity. Gorchetchnikov A, Versace M. Poster, International Conference on Cognitive and Neural Systems (ICCNS 2004). Download the PDF version. [2004]

ya Software

 

- KInNeSS is a KDE Integrated NeuroSimulation Software. Integration here means that ideally you can do different projects, like visual system, auditory system or memory system within one framework. www.kinness.net
Computational Neuroscience
Neuroinformatics
Applications
computational neuroscience
neuroinformatics
applications

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