Citation Relationships

Legenstein R, Maass W (2008) On the classification capability of sign-constrained perceptrons. Neural Comput 20:288-309 [PubMed]

References and models cited by this paper

References and models that cite this paper

Amit DJ, Campbell C, Wong KYM (1989) The interaction space of neural networks with sign-constrained synapses J Phys A Math Gen 22:4687-4693

Amit DJ, Wong KYM, Campell C (1989) Perceptron learning with sign-constrained weights J Phys A Math Gen 22:2039-2045

Bartlett PL, Maass W (2003) Vapnik-Chervonenkis dimension of neural nets The handbook of brain theory and neural networks (2nd Ed), Arbib MA, ed. pp.1188

Brunel N, Hakim V, Isope P, Nadal JP, Barbour B (2004) Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell. Neuron 43:745-57 [Journal] [PubMed]

Gardner E (1987) The space of interactions in neural network models J Physics 21:257-270

Haykin S (1999) Neural Networks: A Comprehensive Foundation (2nd Ed)

Legenstein RA, Maass W (2006) Neural codes that enhance the discrimination capability of readout neurons in preparation

Mcculloch WS, Pitts W (1943) A Logical Calculus of Ideas Immanent in Nervous Activity Bull Math Biophysics 5:115-133

Minsky M, Papert S (1988) Perceptrons: An introduction to computational geometry

Rosenblatt F (1962) Principles Of Neurodynamics

Strang G (1988) Linear algebra and its application

Vapnik V (1998) Statistical Learning Theory

Vapnik VN, Chervonenkis AY (1971) On the uniform convergence of relative frequencies of events to their probabilities Theory Of Probability And Its Applications 16:264-280

(13 refs)