Essays and ideas about neurobiology
S. Geman. Application of stochastic averaging to learning systems. Brain Theory Newsletter, 3/4, 1979, 69-71. (pdf)
S. Geman. Notes on
a self-organizing machine. In: Parallel Models for Associative Memory. Ed. by J. Anderson and G. Hinton,
S. Geman, E. Bienenstock, and R. Doursat. Neural
networks and the bias/variance dilemma. Neural
Computation, 4, 1991, 1-58. (pdf)
E. Bienenstock and S. Geman. Discussion of: "Neural networks and statistical perspectives" by B. Cheng and D.M. Titterington, Statistical Science, 9, 1994, 36-38. (pdf)
E. Bienenstock and S. Geman. Comment on: "The Hebbian paradigm reintegrated: Local reverberations as internal
representations," by D.J. Amit, Behavioral and
Brain Sciences, 18, 1995,
627-628.
E. Bienenstock and S. Geman.
Compositionality in neural systems. The Handbook of Brain Theory and Neural
Networks. Ed. M.A. Arbib. MIT
Press,
S. Geman. Compositionality.
S. Geman. Invariance and selectivity in the
ventral visual pathway. Journal of
Physiology Paris, 100, 2006, 212-224.
(pdf)