Simon B. Laughlin
University of Cambridge
109 Papers
1.5K Citations
Simon B. Laughlin is an academic researcher from University of Cambridge. The author has contributed to research in topics: Compound eye & Biology. The author has an hindex of 59, co-authored 109 publications. Previous affiliations of Simon B. Laughlin include Yale University & Darmstadt University of Applied Sciences.
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Papers
An Energy Budget for Signaling in the Grey Matter of the Brain
David Attwell,Simon B. Laughlin +1 more
TL;DR: The estimates of energy usage predict the use of distributed codes, with ≤15% of neurons simultaneously active, to reduce energy consumption and allow greater computing power from a fixed number of neurons.
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The metabolic cost of neural information
TL;DR: Biophysical measurements from cells in the blowfly retina yield estimates of the energy required to generate graded (analog) electrical signals that transmit known amounts of information, which promotes the distribution of information among multiple pathways.
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Predictive Coding: A Fresh View of Inhibition in the Retina
TL;DR: Comparisons suggest that, in the early stages of processing, the visual system is concerned primarily with coding the visual image to protect against subsequent intrinsic noise, rather than with reconstructing the scene or extracting specific features from it.
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A simple coding procedure enhances a neuron's information capacity.
TL;DR: The contrast-response function of a class of first order intemeurons in the fly's compound eye approximates to the cumulative probability distribution of contrast levels in natural scenes, showing that this matching enables the neurons to encode contrast fluctuations most efficiently.
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Energy limitation as a selective pressure on the evolution of sensory systems
TL;DR: Assessing evidence from a wide range of vertebrate and invertebrate examples, it is shown that reducing energy expenditure can account for many of the morphological features of sensory systems and has played a key role in their evolution.