Abstract
When many synaptic inputs convergence onto a neuron the pooled noise can overwhelm sparse input signals. However, thresholding the inputs can remove noise and signal quality can be maintained. We present here how this mechanism applies to photon detection in the retina.
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© 1998 Springer Science+Business Media New York
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van Rossum, M.C.W., Smith, R.G. (1998). Noise Removal by Nonlinear Synapses. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4831-7_50
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DOI: https://doi.org/10.1007/978-1-4615-4831-7_50
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7190-8
Online ISBN: 978-1-4615-4831-7
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