Gatsby Computational Neuroscience Unit
Alexandra House, 17 Queen Square, LONDON, WC1N 3AR, UK
Tel: +44 (0) 20 7679 1176, Fax +44 (0) 20 7679 1173, admin@gatsby.ucl.ac.uk, www.gatsby.ucl.ac.uk

 

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Gatsby Unit Publications

[1999] [2000] [2001] [2002] [Technical Reports]

2001
01-2001 J. C. Pelan and K. A. Berrington
Atomic Data from the IRON Project
[Abstract]  [Full HTML] [PDF file (226 KB)] [PS file (183 KB)]
Astronomy &Astrophysics 365, 258-265
02-2001 Zhaoping Li and Peter Dayan
Position Variance, Recurrence and Perceptual Learning
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
03-2001 Szabolcs Kali and Peter Dayan
Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
04-2001 Sham Kakade and Peter Dayan
Dopamine Bonuses
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
05-2001 Silvia Scarpetta, Zhaoping Li and John Hertz
Spike-Timing-Dependent Learning for Oscillatory Networks
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
06-2001 Carl van Vreeswijk
Whence Sparseness?
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
07-2001 Peter Dayan
Competition and Arbors in Ocular Dominance
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
08-2001 Carl Edward Rasmussen and Zoubin Ghahramani
Occam's Razor
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
09-2001 Peter Dayan and Sham Kakade
Explaining Awayt in Weight Space
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
10-2001 Zoubin Ghahramani and Matthew Beal
Propagation Algorithms for Variational Bayesian Learning
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
11-2001 Sam Roweis
One Microphone Source Separation
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
12-2001 Yee Whye Teh and Geoffrey Hinton
Rate-coded Restricted Boltzmann Machines for Face Recognition
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
[abstract] [ps] [pdf]
13-2001 Guy Mayraz and Geoffrey Hinton
Recognizing Hand-written Digits Using Hierarchical Prudcts of Experts
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
[abstract] [ps] [pdf]
14-2001 Brian Sallans and Geoffrey Hinton
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
In Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
[abstract] [ps] [pdf]
15-2001 Geoffrey Hinton and Andrew Brown
Training Many Small Hidden Markov Models.
To appear in Proceedings of the Workshop on Innovation in Speech Processing.
[abstract] [ps] [pdf]
16-2001 Andrew Brown and Geoffrey Hinton.
Products of Hidden Markov Models. T. Jaakkola
and T. Richardson eds., Proceedings of Artificial Intelligence and Statistics 2001, Morgan Kaufmann, pp3-11
[abstract] [ps] [pdf]
2000
01-2000 Geoffrey Hinton and Andrew Brown
Spiking Boltzmann Machines
[abstract] [ps.gz] [pdf]
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

02-2000

Geoffrey Hinton, Zoubin Ghahramani and Yee Whye Teh
Learning to Parse Images
[abstract] [ps] [pdf]
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

03-2000

Hagai  Attias
A Variational Bayesian Framework for Graphical Models.
[abstract] [ps] [pdf]
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

04-2000

Hagai  Attias
Independent Factor Analysis with Temporally Structured factors.
[abstract] [ps] [pdf]
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

05-2000

Sam Roweis
Constrained Hidden Markov Models
[abstract] [ps.gz] [pdf]
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

06-2000

Zoubin Ghahramani, and Matthew Beal
Variational Inference for Bayesian Mixtures of Factor analysers.
[abstract] [ps.gz] [pdf]
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

07-2000

Brian Sallans
Learning Factored Representations for Partially Observable Markov Decision Processes.
[abstract] [ps] [pdf]
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

08-2000

Sham Kakade and Peter Dayan
Acquisition in Autoshaping
[abstract] [ps] [pdf]
In  Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

09-2000

Zhaoping Li
Can V1 Mechanisms Account for Figure-Ground and Medial Axis Effects?
[abstract] [ps.gz] [pdf]
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA

10-2000

David Foster, R.  Morris and Peter Dayan
Models of Hippocampally Dependent Navigation, Using the Temporal Difference Learning Rule
[ps] [pdf]
To appear in Hippocampus

11-2000

Carl van Vreeswijk and David Hansel
Patterns of Synchrony in Neural Networks with Spike Adaptation
[abstract] [ps.gz] [pdf]
To appear in Neural Computation

12-2000

Carl van Vreeswijk
Analysis of the Asynchronous State in Networks of Strongly Coupled Oscillators
[abstract] [ps.gz] [pdf]
Submitted to Physical Review Letters

13-2000

Carl van Vreeswijk
Information Transmission with Renewal Neurons
[abstract]
Submitted to Computational Neuroscience 2000

14-2000

Alberto Paccanaro and Geoffrey Hinton
Learning Distributed Representations of Concepts Using Linear Relational Embedding
Submitted to IEEE Trans. on Knowledge and Data Engineering - Special Issue on 'Connectionists Models for learning in Structured Domains
[abstract] [ps] [pdf]

15-2000

Alberto Paccanaro and Geoffrey Hinton
Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space
Submitted to the Seventeenth International Conference on Machine Learning, ICML 2000

16-2000

Emanuel Todorov
Direct Cortical Control of Muscle Activation in Voluntary Arm Movements: A Model
Nature Neuroscience, April 2000, vol 3 no 4
[abstract] [pdf]

17-2000

M. Holden, Emanuel Todorov, J. Callahan and E. Bizzi
Virtual Environment Training Improves Motor Performance in Two Patients with Stroke.
Neurology Report, in press

18-2000

Guy Mayraz, Geoffrey Hinton
Recognizing Hand-Written Digits Using Hierarchical Products of Experts
Submitted to Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
[abstract] [ps.gz] [pdf]

19-2000

Brian Sallans, Geoffrey Hinton
Using Free Energies to Represent Q-values in a Multiagent Reinforcement learning Task
Submitted to Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
[abstract] [ps.gz] [pdf]

20-2000

Yee-Whye Teh, Geoffrey Hinton
Rate-coded Restricted Boltzmann Machines for Face Recognition
Submitted to Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA
[abstract] [ps.gz] [pdf]

21-2000

Sam Roweis and Zoubin Ghahramani
An EM Algorithm for Identification of Nonlinear Dynamical Systems [Preprint]
[abstract][ps] [pdf]

22-2000

Alberto Paccanaro and Geoffrey Hinton
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions
To appear in the Proceedings of the International Joint Conference on Neural Networks, IJCNN 2000

 

01-1999


Geoffrey Hinton and Terry Sejnowski (eds)
Unsupervised Learning:  Foundations of Neural Computation
June 1999,  MIT Press, Cambridge, Massachusetts

02-1999

Geoffrey Hinton
Supervised Learning in Multilayer Neural Networks
in The MIT Encyclopedia of the Cognitive Sciences
Edited by Robert Wilson and Frank Keil
The MIT Press, Cambridge, Massachusetts
[ps] [pdf]

03-1999

Zoubin Ghahramani and  Sam Roweis
Learning Nonlinear Dynamical Systems Using an EM Algorithm.
[abstract] [ps.gz] [pdf]
Advances in Neural Information Processing Systems 11:431-437, MIT Press, Cambridge, MA.

04-1999

Hagai Attias
Learning a Hierarchical Belief Network of Independent Factor Analyzers
[abstract] [ps] [pdf]
Advances in Neural Information Processing Systems 11, MIT Press, Cambridge, MA.

05-1999

Sam Roweis and Zoubin Ghahramani
A Unifying Review of Linear Gaussian Models
[abstract] [ps.gz] [pdf]
Neural Computation 11(2) 305-345

06-1999

Geoffrey Hinton
Products of Experts
[abstract] [ps] [pdf]
Proceedings of the Ninth International Conference on Artificial Neural Networks [ICANN 99 Vol 1  pages 1-6].

07-1999

Szabolcs Káli and Peter Dayan
Spatial Representations in Related Environments in a Recurrent Model of Area CA3 of the Rat
[abstract] [ps] [pdf]
Proceedings of the Ninth International Conference on Artificial Neural Networks

08-1999

Zoubin Ghahramani, Alex  Korenberg and Geoffrey Hinton
Scaling in a Hierarchical Unsupervised Network
[abstract] [ps] [pdf]
Proceedings of the Ninth International Conference on Artificial Neural Networks [ICANN 99, Vol 1 pages 13-18]

09-1999

Peter Dayan and Richard Zemel
Statistical Models and Sensory Attention
[abstract] [ps] [pdf]
Proceedings of the Ninth International Conference on Artificial Neural Networks

10-1999

Hagai Attias
Blind Source Separation by Dynamic Graphical Models
[abstract] [ps] [pdf]
Proceedings of the Ninth International Conference on Artificial Neural Networks

11-1999

Zoubin Ghahramani and Geoffrey Hinton
Variational Learning for Switching State-Space Models
[abstract] [ps.gz] [pdf]
Neural Computation (in press)

12-1999

Naonori Ueda, Ryohei Nakano,  Zoubin Ghahramani, and Geoffrey Hinton
SMEM Algorithm for Mixture Models
[abstract] [ps.gz]  [pdf]
Neural Computation (in press)

13-1999

Hagai Attias
Hierarchical IFA Belief Networks.
Statistics and Artificial Intelligence 7 (Ed. by D. Heckerman and J. Whittaker). Morgan Kaufmann.

14-1999

Hagai Attias
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes.
[abstract] [ps] [pdf]
Proc. 15th Conference on Uncertainty in Artificial Intelligence.

15-1999

Richard Zemel and Peter Dayan
Distributional Population Codes and Multiple Motion Models
[abstract] [ps] [pdf]
Advances in Neural Information Processing Systems, 11

16-1999

Peter Dayan
Unsupervised Learning
In Wilson, RA & Keil F, editors,  The MIT Encyclopedia of the Cognitive Sciences.

17-1999

Zhaoping Li and Peter Dayan
Computational Differences Between Asymmetrical and Symmetrical Networks
[abstract] [ps.gz] [pdf]
Network: Comput. Neural Syst. 10, 59-77 and
Advances in Neural Information Processing Systems, 11, MIT Press, Cambridge, MA

18-1999

Juan Lin and Peter Dayan
Curved Gaussian Models with Application to Modeling Currency Exchange Rates.
[abstract] [ps] [pdf]
In YS Abu-Mostafa, B LeBaron, AW Lo & AS Weigend, Editors, Computational Finance 99.   Cambridge, MA:  MIT Press

19-1999

Larry Abbott, Peter Dayan
The Effect of Correlated Variability on the Accuracy of a Population Code
[abstract] [ps] [pdf]
Neural Computation, 11, 91-101

20-1999

Zhaoping Li and John Hertz
Odour Recognition and Segmentation by a Model Olfactory Bulb and Cortex
[abstract] [ps.gz] [pdf]
Neurocomputing 26-27, 789-794

21-1999

Zhaoping Li
Visual Segmentation by Contextual Influences Via Intra-Cortical Interactions in the Primary Visual Cortex
[abstract] [ps.gz] [pdf]
Network: Comput. Neural Syst. 10, 187-212

22-1999

 

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Zhaoping Li
Contextual Influences in V1 as a Basis for Pop Out and Asymmetry in Visual Search
[abstract] [ps] [pdf]
Proceedings of National Academy of Science 9:18, 10530-10535, USA