Information theory of adaptation in neurons, behavior, and mood
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References and recommended reading
Papers of particular interest, published within the period of review, have been highlighted as:
• of special interest
•• of outstanding interest
Acknowledgments
We thank Charles Stevens for many helpful discussions. This research was supported by the National Science Foundation (NSF) CAREER award number 1254123, the National Eye Institute of the National Institutes of Health under Award Number R01EY019493, McKnight Scholarship and Ray Thomas Edwards Career Award (TOS), a graduate research fellowship from the NSF (AJC), the National Institute of Mental Health (NIMH) and the University of California, San Diego Institute for Neural Computation graduate
References (61)
- et al.
Maximally informative pairwise interactions in networks
Phys Rev E Stat Nonlin Soft Matter Phys
(2009) - et al.
Sensitivity to complex statistical regularities in rat auditory cortex
Neuron
(2012) - et al.
Adaptive filtering enhances information transmission in visual cortex
Nature
(2006) - et al.
Visual adaptation and face perception
Philos Trans R Soc Lond B Biol Sci
(2011) - et al.
Adaptive coding of visual information in neural populations
Nature
(2008) - et al.
Fine spatial information represented in a population of retinal ganglion cells
J Neurosci
(2011) - et al.
Adaptation without parameter change: dynamic gain control in motion detection
Proc Natl Acad Sci U S A
(2005) - et al.
Retina is structured to process an excess of darkness in natural scenes
Proc Natl Acad Sci U S A
(2010) Fear the Aliens
(2010)Biophysics Searching for Principles
(2013)
Information: currency of life?
HFSP J
Protein molecules as computational elements in living cells
Nature
The neuroimaging signal is a linear sum of neurally distinct stimulus- and task-related components
Nat Neurosci
Approximate Dynamic Programming: Solving the Curses of Dimensionality
Sensory adaptation
Curr Opin Neurobiol
Shifts in coding properties and maintenance of information transmission during adaptation in barrel cortex
PLoS Biol
Predictable irregularities in retinal receptive fields
Proc Natl Acad Sci U S A
Optimal population coding by noisy spiking neurons
Proc Natl Acad Sci U S A
Adaptive rescaling maximizes information transmission
Neuron
Efficiency and ambiguity in an adaptive neural code
Nature
The challenges natural images pose for visual adaptation
Neuron
Adaptation to interocular differences in blur
J Vis
Adaptation improves face trustworthiness discrimination
Front Psychol
Neural decision boundaries for maximal information transmission
PLoS ONE
Nonlinear analysis of macaque V1 color tuning reveals cardinal directions for cortical color processing
Nat Neurosci
Spatiotemporal elements of macaque v1 receptive fields
Neuron
Nonlinear population codes
Neural Comput
Population coding in neuronal systems with correlated noise
Phys Rev E Stat Nonlin Soft Matter Phys
Neural correlations, population coding and computation
Nat Rev Neurosci
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