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H. B. Barlow. The neuron doctrine in perception. In M. S. Gazzaniga, editor, The Cognitive Neurosciences, chapter 26. MIT Press, Cambridge, MA, 1995.

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Statistical Analysis and Modeling of Brain cells' Activity - Gat (1999)   (Correct)

....to this view, neurons integrate their input, and emit action potentials, as a function of some parameter of the stimulus. This means that the ring rate is the code the system uses in a sparse coding scheme [20] The rich connectivity serves to funnel information to these computational elements [22, 21]. Some evidence for the existence of such cells has been found (e.g. 38, 66, 83] Further support for this coding hypothesis was reported by Newsome et al. 69] who found a high degree of agreement between psychophysical performances near threshold, and the prediction from the ring rate of a ....

H. Barlow. The neuron doctrine in perception. In M. Gazzaniga, editor, The Cognitive Neuroscience, pages 415-435. Boston: MIT Press, 1994.


Journal of Machine Learning Research 7 (2006) 793--815.. - Michael Spratling..   (Correct)

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H. B. Barlow. The neuron doctrine in perception. In M. S. Gazzaniga, editor, The Cognitive Neurosciences, chapter 26. MIT Press, Cambridge, MA, 1995.


Learning generalisation and localisation: Competition for.. - Oram, Foldiak (1996)   (Correct)

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H.B. Barlow, The neuron doctrine in perception, in: M. Gazanigga, ed., The Cognitive Neurosciences (Boston, MIT Press, 1994) 415-435.

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