Literature DB >> 31283447

Coding Principles in Adaptation.

Alison I Weber1, Kamesh Krishnamurthy2, Adrienne L Fairhall1,3.   

Abstract

Adaptation is a common principle that recurs throughout the nervous system at all stages of processing. This principle manifests in a variety of phenomena, from spike frequency adaptation, to apparent changes in receptive fields with changes in stimulus statistics, to enhanced responses to unexpected stimuli. The ubiquity of adaptation leads naturally to the question: What purpose do these different types of adaptation serve? A diverse set of theories, often highly overlapping, has been proposed to explain the functional role of adaptive phenomena. In this review, we discuss several of these theoretical frameworks, highlighting relationships among them and clarifying distinctions. We summarize observations of the varied manifestations of adaptation, particularly as they relate to these theoretical frameworks, focusing throughout on the visual system and making connections to other sensory systems.

Keywords:  efficient coding; inference; neural coding; predictive coding; redundancy reduction; surprise

Year:  2019        PMID: 31283447     DOI: 10.1146/annurev-vision-091718-014818

Source DB:  PubMed          Journal:  Annu Rev Vis Sci        ISSN: 2374-4642            Impact factor:   6.422


  13 in total

1.  Multiple Timescales Account for Adaptive Responses across Sensory Cortices.

Authors:  Kenneth W Latimer; Dylan Barbera; Michael Sokoletsky; Bshara Awwad; Yonatan Katz; Israel Nelken; Ilan Lampl; Adriene L Fairhall; Nicholas J Priebe
Journal:  J Neurosci       Date:  2019-10-29       Impact factor: 6.167

2.  Flexible filtering by neural inputs supports motion computation across states and stimuli.

Authors:  Jessica R Kohn; Jacob P Portes; Matthias P Christenson; L F Abbott; Rudy Behnia
Journal:  Curr Biol       Date:  2021-10-19       Impact factor: 10.834

Review 3.  Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions.

Authors:  Byron H Price; Jeffrey P Gavornik
Journal:  Front Comput Neurosci       Date:  2022-07-04       Impact factor: 3.387

4.  Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate.

Authors:  Thomas J Baumgarten; Brian Maniscalco; Jennifer L Lee; Matthew W Flounders; Patrice Abry; Biyu J He
Journal:  Nat Commun       Date:  2021-05-11       Impact factor: 14.919

5.  Object-Displacement-Sensitive Visual Neurons Drive Freezing in Drosophila.

Authors:  Ryosuke Tanaka; Damon A Clark
Journal:  Curr Biol       Date:  2020-05-21       Impact factor: 10.834

6.  A transcriptional rheostat couples past activity to future sensory responses.

Authors:  Tatsuya Tsukahara; David H Brann; Stan L Pashkovski; Grigori Guitchounts; Thomas Bozza; Sandeep Robert Datta
Journal:  Cell       Date:  2021-12-07       Impact factor: 41.582

Review 7.  Impact of Photoreceptor Loss on Retinal Circuitry.

Authors:  Joo Yeun Lee; Rachel A Care; Luca Della Santina; Felice A Dunn
Journal:  Annu Rev Vis Sci       Date:  2021-09-15       Impact factor: 6.422

8.  Brief Stimuli Cast a Persistent Long-Term Trace in Visual Cortex.

Authors:  Matthias Fritsche; Samuel G Solomon; Floris P de Lange
Journal:  J Neurosci       Date:  2022-01-21       Impact factor: 6.709

9.  A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks.

Authors:  Yang Shen; Julia Wang; Saket Navlakha
Journal:  Neural Comput       Date:  2021-11-12       Impact factor: 2.026

10.  Novel stimuli evoke excess activity in the mouse primary visual cortex.

Authors:  Jan Homann; Sue Ann Koay; Kevin S Chen; David W Tank; Michael J Berry
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-01       Impact factor: 12.779

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