Connectionists: CARLsim 3.0.2 released

[Michael Beyeler]

Dear colleagues,

Many of you may be interested in our latest software release of the 
CARLsim simulator. CARLsim is an efficient, easy-to-use, GPU-accelerated 
library for simulating large-scale spiking neural network (SNN) models 
with a high degree of biological detail. Software and documentation can 
be found at:

http://www.socsci.uci.edu/~jkrichma/CARLsim

This release is in conjunction with our latest publications, which 
highlight CARLsim’s latest features.
* Beyeler, M., Carlson, K.D., Chou, T.S., Krichmar, J.L., Dutt, N., 
(2015) CARLsim 3: A User-Friendly and Highly Optimized Library for the 
Creation of Neurobiologically Detailed Spiking Neural Networks. Paper 
presented at: International Joint Conference on Neural Networks 
(Killarney, Ireland).
* Beyeler, M., Richert, M., Dutt, N.D., and Krichmar, J.L. (2014). 
Efficient Spiking Neural Network Model of Pattern Motion Selectivity in 
Visual Cortex. Neuroinformatics.
* Carlson, K.D., Nageswaran, J.M., Dutt, N., and Krichmar, J.L. (2014). 
An efficient automated parameter tuning framework for spiking neural 
networks. Frontiers in Neuroscience 8.
* Carlson, K.D., Richert, M., Dutt, N., and Krichmar, J.L. (2013). 
Biologically Plausible Models of Homeostasis and STDP: Stability and 
Learning in Spiking Neural Networks. Paper presented at: International 
Joint Conference on Neural Networks (Dallas, TX).

If you have recently used CARLsim in one of your scientific 
publications, let us know so that we can add your paper to the list.

CARLsim 3.0.2 Release Highlights
---------------------------------------------
* improved platform compatibility (Linux, Mac OS X, and Windows)
* real-time and offline data analysis tools
* an automated parameter tuning interface that utilizes evolutionary 
algorithms to construct functional SNNs
* an expanded STDP implementation, which includes dopaminergic 
neuromodulation
* an exhaustive User Guide and Tutorials
* much improved code base, which includes a test suite for functional 
code verification

Best regards from the CARLsim team,

Michael Beyeler
Kristofor Carlson
Ting-Shuo Chou
Nikil Dutt
Jeff Krichmar

-- 
Michael Beyeler
Ph.D. Candidate
Cognitive Anteater Robotics Lab (CARL)
2236 Cognitive & Behavioral Science Gateway
University of California, Irvine
Irvine, CA 92697-5100, USA
http://sites.uci.edu/mbeyeler