COLAMN 2010 at Jury's Inn, Plymouth, United Kingdom
September 1, 2010 at 9am to September 2, 2010 at 5pm
From Cortical Microcircuits to Brain-Inspired Computing Hardware
This workshop is an open meeting of the UK-wide research cluster COLAMN. Objective of COLAMN is to explore novel computing architectures for cognitive systems based on the laminar mic…
This group is intended for those interested in cellular and network mechanisms and the functional significance of normal and pathological synchronization and oscillations observed in small invertebrate to large cortical neuronal networks.
This group discusses methods for generating and analyzing brain connectivity data (the "connectome") and how to simulate development and dynamics on anatomicially realistic neural networks. It can also be used to announce jobs, events, and CFP's.
Postdocs are at the cross-roads of education and profession, and we face unique professional and social challenges, particularly in the current academic and economic climates. This group is intended for sharing related insights strategies & comments.
* Theoretical and Computational Neuroscience
* Large-Scale Computational Model of Brain
* Complex Networks
* Statistical Mechanics of Unsupervised Learning
G. Basalyga, P. M. Gleiser and T. Wennekers, "Emergence of small-world structure in networks of spiking neurons through STDP learning", Brain Inspired Cognitive Systems (BICS*2010) Conference Preprints, 2010.
G. Basalyga and T. Wennekers, "Large-Scale Computational Model of Cat Primary Visual Cortex", BMC Neuroscience, 10, Suppl 1, P358, 2009.
G. Basalyga and E. Salinas, "When Response Variability Increases Neural Network Robustness to Synaptic Noise", Neural Computation, 18:6, pp. 1349-1379, 2006 (pre-print: q-bio.NC/0510036).
G. Basalyga and M. Rattray, "Statistical Dynamics of On-line Independent Component Analysis", Journal of Machine Learning Research, vol. 4, pp. 1393-1410, 2003 (pre-print: cond-mat/0309554).
G. Basalyga and M. Rattray, "Dynamics of ICA for High-dimensional Data", Artificial Neural Networks - ICANN 2002, LNCS 2415, edited by J.R. Dorronsoro,Springer-Verlag, Berlin Heidelberg, pp. 1112-1118, 2002.
M. Rattray and G. Basalyga, "Scaling Laws and Local Minima in Hebbian ICA", Advances in Neural Information Processing Systems 14, edited by T. G. Dietterich and S. Becker and Z. Ghahramani, MIT Press, Cambridge, MA, pp. 495-501, 2002.
G. Basalyga, "Statistical Dynamics of On-Line Unsupervised Learning", PhD thesis, 2003.