VC Dimension of an Integrate-and-Fire Neuron Model
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[1] G. Shepherd,et al. Logic operations are properties of computer-simulated interactions between excitable dendritic spines , 1987, Neuroscience.
[2] Joel L. Davis,et al. Single neuron computation , 1992 .
[3] David Haussler,et al. What Size Net Gives Valid Generalization? , 1989, Neural Computation.
[4] Wolfgang Maass,et al. Lower Bounds for the Computational Power of Networks of Spiking Neurons , 1996, Neural Computation.
[5] Philip M. Long,et al. Fat-shattering and the learnability of real-valued functions , 1994, COLT '94.
[6] T. Poggio,et al. Retinal ganglion cells: a functional interpretation of dendritic morphology. , 1982, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[7] David Haussler,et al. Rigorous Learning Curve Bounds from Statistical Mechanics , 1994, COLT.
[8] David Haussler,et al. Learnability and the Vapnik-Chervonenkis dimension , 1989, JACM.
[9] Bartlett W. Mel. NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron , 1992, Neural Computation.
[10] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[11] Leslie G. Valiant,et al. A theory of the learnable , 1984, STOC '84.
[12] Yaser S. Abu-Mostafa,et al. The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning , 1989, Neural Computation.
[13] Anthony M. Zador,et al. Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane , 1991, NIPS.