Daniel BD Rubin Home Page

Publications:

1. D.D. Ben Dayan Rubin and S. Fusi, Long memory lifetimes require complex synapses and limited sparseness, Frontiers in Computational Neuroscience, Vol 1, November 2007 (pdf)
2. D.D. Ben Dayan Rubin, Synaptic value bounds for optimizing retrieval in recurrent neural networks, Neurocomputing, Vol 58-60: 745-741, 2004. (pdf)
3. D.D. Ben Dayan Rubin, The influence of variance among synaptic efficacies in recurrent cortical architectures: retrievability of overlapping patterns during learning, submitted.
4. D.D. Ben Dayan Rubin, E. Chicca, & G. Indiveri, Characterizing the firing properties of an adaptive analog VLSI neuron, Lecture Notes in Computer Science (LNCS) 3141, pp. 189 200, 2004 (pdf)
5. D.D. Ben Dayan Rubin, G. Baselli, G.F. Inbar & S. Cerutti, An adaptive neuro-Fuzzy method (ANFIS) for estimating single-trial movement-related potentials, Biol Cybern. 2004 91(2): 63-75 (pdf)
6. L. Astolfi, C. Babiloni, F. Carducci, F. Cincotti, A. Basilisco, P. M. Rossini, S. Salinari, S. Cerutti, D.D. Ben Dayan Rubin, Ding L., Ni Y., B. He, and F. Babiloni, Estimation of the Cortical Connectivity by High-Resolution EEG and Structural Equation Modeling: Simulations and Application to Finger Tapping Data, IEEE Trans Biomed Eng 2005 52(5): 757-68 (pdf)
7. D.D. Ben Dayan Rubin, Occupation state probabilities in a discrete state synaptic model, Submitted

Conference Proceedings:

01. D.D. Ben Dayan Rubin & Daniel J. Amit, Neural population account for serial memory strategies, Neural Plasticity, vol.8, no.3, 2001, Proc. of the 10th Israel Neuroscience Society Meeting.
02. D.D. Ben Dayan Rubin , Synaptic value bounds for optimizing retrieval in recurrent neural networks, Alicante, Proc. CNS 2003
03. D.D. Ben Dayan Rubin , E. Chicca & G. indiveri, Firing proprieties of an adaptive analog VLSI neuron, Proc. of Bio-Adit 2004, Losanne ( pdf )
04. D.D. Ben Dayan Rubin , G.F. Inbar & S. Cerutti, Estimation of single-trial Movement Related Potential from multi-electrode EEG using ANFIS (Adaptive neuro-Fuzzy Inference System), Proc of the 4th IEEE-EMB Workshop 2002.
05. D.D. Ben Dayan Rubin , G.F. Inbar & S. Cerutti, Adaptive-Neuro-Fuzzy-Inference-System applied to EEG signals for estimating movement-related potentials, Proc. of the International Workshop on Intelligent Knowledge Management Techniques KES2002/I-KOMAT2002.
06. F. Babiloni, F Cincotti, A. Basilisco, C. Babiloni, F. Carducci, P. Rossini, S. Cerutti & D.D. Ben Dayan Rubin , Frontoparietal cortical networks revealed by structural equation modeling and high resolution EEG during a short term memory task, IEEE EMBS Conference on Neural Engineering, Capri 2003. ( pdf )
07. F. Babiloni, F Cincotti, A. Basilisco, C. Babiloni, F. Carducci, P. Rossini, S. Cerutti & D.D. Ben Dayan Rubin , Frontoparietal cortical networks revealed by structural equation modeling and high resolution EEG during a short term memory task, Human Brain Mapping, New York, 2003.
08. D. Ben Dayan Rubin and S. Fusi, Storing sparse random patterns with cascade synapses, CNS 2006, (pdf)
09. D. Ben Dayan Rubin and S. Fusi, Noise based Memories, Cosyne 2007, (pdf)
10. M. Rigotti, D. Ben Dayan Rubin, X-J. Wang and S. Fusi, The importance of neural diversity in complex cognitive tasks, Cosyne 2007, (pdf)

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Short tale:

I graduated from the Politecnico di Milano, Italy, in Electronics Engineering (M.Sc.). I conducted the research for the dissertation -- entitled: On the Application of ANFIS (Adaptive Neuro-Fuzzy Inference System) to the single-trial Movement related Potential Analysis -- at the Technion (I.I.T.), Haifa, Israel. My advisors were Profs. G.F. Inbar and S. Cerutti.
In September 2000 I was a research fellow at the Hebrew University of Jerusalem in theoretical Physics with Prof. Daniel J. Amit. In march 2002 I received a fellowship for PhD studies from the Bioengineering department at the Politecnico di Milano. From March 2003 to May 2005 I completed my doctoral studies at INI - Institute of Neuroinformatics at the ETH Zurich, working with Profs. Rodney J Douglas and Stefano Fusi. In May 2005 I obtained the degree of PhD defending the thesis:The Functional Role of Noise in Neural Networks. Dynamics and Learning. My supervisor was Prof. Sergio Cerutti while my advisors were Profs. Giuseppe Baselli, Rodney J. Douglas, and Stefano Fusi.
From August 2005 to March 2007 I was a PostDoc at ETH Zurich working with Prof. Stefano Fusi.
Since March 2007 I am PostDoc Research Fellow at the Center for Theoretical Neuroscience at Columbia University, New York.

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