Latent Variable Models for Neural Data Analysis

@inproceedings{Sahani1999LatentVM,
  title={Latent Variable Models for Neural Data Analysis},
  author={Maneesh Sahani and Jim Bower and Christof Koch},
  year={1999}
}
iv v Acknowledgements Many thanks are due to my advisors, Richard Andersen and John Hoppeld. Richard has been tremendously supportive throughout, providing valuable advice and encouragement, even when my work has taken me outside the domains typically trodden by members of his group. Furthermore he has assembled an exceptional group of people in whose company I have worked for the last ve years. John graciously provided an intellectual home away from home; as well as invaluable advice and… CONTINUE READING
88 Citations
121 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 88 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 121 references

A view of the EM algorithm that justi es incremental

  • R. M. Neal, G. E. Hinton
  • 1998
Highly Influential
10 Excerpts

Learning in Graphical Models

  • M. I. Jordan
  • 1998
Highly Influential
5 Excerpts

Deterministic annealing for density estimation by multi

  • M. Kloppenburg, P. Tavan
  • 1997
Highly Influential
4 Excerpts

The variability of discharge of simple cells in the cat striate cortex

  • A. F. Dean
  • Experi-
  • 1981
Highly Influential
11 Excerpts

Similar Papers

Loading similar papers…