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
S. Geman. Compositionality.
S. Geman. Invariance and selectivity in the ventral visual pathway. Journal of Physiology Paris, 100, 2006, 212-224. (pdf)