Energy as a constraint on the coding and processing of sensory information.

By Simon Barry Laughlin. Current Opinion in Neurobiology, 2001

608 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/20d863f838a289348c415d67b2424c58cd959be6

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

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Citations in the corpus

Mechanisms of animal global navigation: comparative perspectives and enduring challenges (2005, background): “At the very least, the costs of evolving a larger forebrain (attwell & laughlin 2001, laughlin 2001) have not prevented the evolution of true navigation in birds (but see winkler et al. 2004).”
Communication dynamics in complex brain networks (2017, background): “…is important, but information that travels through all possible paths and walks can lead to an overloaded and congested sys-tem 53,107 , in which loss and corruption of information are more likely and the energetic cost required to ensure the spread of information is exceedingly high 36,108 .”
An operating cost of learning in Drosophila melanogaster (2004, background): “Neural tissue is known to be metabolically very expensive (Laughlin et al. 1998; Laughlin 2001), although it is not clear to what extent this energy expenditure depends on learningrelated activity.”
Hastiness, brain size and predation regime affect the performance of wild guppies in a spatial memory task (2008, background): “Whereas we may expect predation regime to influence spatial memory ability, the complex interactions between the energy costs of neural tissue ( Laughlin 2001 ), variation in competition for food (Reznick et al. 2001), the need to remember likely ambush sites and the potential detrimental effects of”
Information Theory of Decisions and Actions (2011, background): “…plausibility indicate that any hypothesized attempt to seek optimal behaviour by an organism needs to be balanced by the considerable cost of information processing which increasingly emerges as a central resource for organisms (Laughlin 2001; Brenner et al. 2000; Taylor et al. 2007; Polani 2009).”
Evolutionary ecology of learning: insights from fruit flies (2009, unknown): “Even though the human brain only accounts for about 2% of a human adult’s body weight, it consumes about 20% of the total metabolic energy at rest; in infants this share can be as high as 50% (Laughlin 2001).”
The GTPase dMiro is required for axonal transport of mitochondria to Drosophila synapses. (2005, unknown): “However, presynaptic mitochondria at NMJs are not required for the formac tion of new synaptic boutons, which contrasts with the r role that has been suggested for mitochondria in denA dritic spine formation (Li et al., 2004). N Li et al. (2004) manipulated the GTPases Drp1 (dyc namin-related protei”
Evolutionary Biology of Animal Cognition (2004, background): “Various costs, however, including energy to maintain neuronal machinery and process information, and time to process complex information, can affect the fitness consequences of cognitive traits (Dukas 1999, Bernays 2001, Laughlin 2001, Mery & Kawecki 2003).”
Behavioural plasticity: an interaction between evolution and experience (2010, background): “Based on its mass, and compared to other tissues in the body, nervous tissue uses a disproportionate amount of energy (Laughlin 2001; Laughlin et al. 1998), primarily to conduct action potentials and maintain resting potentials (Attwell and Laughlin 2001).”