Definition
Models of adaptation in sensory cortices provide a functional and/or mechanistic description of the changes in neural responses and perception caused by sensory stimuli observed in the recent past. Sensory systems compute dynamic representations of the environment: cortical neurons typically adapt their “code” according to the recently received sensory input. This continuous recalibration is reflected in changes in neuronal response properties and has been interpreted as an adjustment of the limited dynamical range to compensate changes in the environment or changes in the observer. Functional models of sensory adaptation have linked these findings to optimal coding. Moreover, adaptation has also been studied in biophysical and network models, with the goal of understanding the mechanisms that give rise to adaptation in biological cortical circuits.
Detailed Description
Sensory adaptation refers to the...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abbott LF, Varela JA, Sen K, Nelson SB (1997) Synaptic depression and cortical gain control. Science 275:220–224
Barlow HB (1961) Possible principles underlying the transformation of sensory messages. In: Rosenblith WA (ed) Sensor communication. MIT Press, Cambridge, MA, pp 217–234
Bednar JA, Miikkulainen R (2000) Tilt aftereffects in a self-organizing model of the primary visual cortex. Neural Comput 12:1721–1740
Benda J, Herz AVM (2003) A universal model for spike-frequency adaptation. Neural Comput 15:2523–2564. doi:10.1162/089976603322385063
Chelaru MI, Dragoi V (2008) Asymmetric synaptic depression in cortical networks. Cereb Cortex 18:771–788. doi:10.1093/cercor/bhm119
Clifford CW, Wenderoth P, Spehar B (2000) A functional angle on some after-effects in cortical vision. Proc Biol Sci 267:1705–1710. doi:10.1098/rspb.2000.1198
Clifford CW, Webster MA, Stanley GB et al (2007) Visual adaptation: neural, psychological and computational aspects. Vis Res 47:3125–3131. doi:10.1016/j.visres.2007.08.023
Compte A, Wang X-J (2006) Tuning curve shift by attention modulation in cortical neurons: a computational study of its mechanisms. Cereb Cortex 16:761–778. doi:10.1093/cercor/bhj021
Cortes JM, Marinazzo D, Series P et al (2011) The effect of neural adaptation on population coding accuracy. J Comput Neurosci. doi:10.1007/s10827-011-0358-4
Dean I, Harper NS, McAlpine D (2005) Neural population coding of sound level adapts to stimulus statistics. Nat Neurosci 8:1684–1689. doi:10.1038/nn1541
Doya K, Ishii S, Pouget A, Rao RPN (2007) Bayesian brain: probabilistic approaches to neural coding. MIT Press, Cambridge, MA
Dragoi V, Sharma J, Sur M (2000) Adaptation-induced plasticity of orientation tuning in adult visual cortex. Neuron 28:287–298
Fairhall AL, Lewen GD, Bialek W, de Ruyter Van Steveninck RR (2001) Efficiency and ambiguity in an adaptive neural code. Nature 412:787–792. doi:10.1038/35090500
Jin DZ, Dragoi V, Sur M, Seung HS (2005) Tilt aftereffect and adaptation-induced changes in orientation tuning in visual cortex. J Neurophysiol 94:4038–4050. doi:10.1152/jn.00571.2004
King AJ, Dahmen JC, Keating P et al (2011) Neural circuits underlying adaptation and learning in the perception of auditory space. Neurosci Biobehav Rev 35:2129–2139. doi:10.1016/j.neubiorev.2011.03.008
Kohn A (2007) Visual adaptation: physiology, mechanisms, and functional benefits. J Neurophysiol 97:3155–3164. doi:10.1152/jn.00086.2007
Kvale MN, Schreiner CE (2004) Short-term adaptation of auditory receptive fields to dynamic stimuli. J Neurophysiol 91:604–612. doi:10.1152/jn.00484.2003
Laughlin S (1981) A simple coding procedure enhances a neuron’s information capacity. Z Naturforsch C 36:910–912
Maravall M, Petersen RS, Fairhall AL et al (2007) Shifts in coding properties and maintenance of information transmission during adaptation in barrel cortex. PLoS Biol 5:e19. doi:10.1371/journal.pbio.0050019
Nagel KI, Doupe AJ (2006) Temporal processing and adaptation in the songbird auditory forebrain. Neuron 51:845–859. doi:10.1016/j.neuron.2006.08.030
Petersen RS, Panzeri S, Maravall M (2009) Neural coding and contextual influences in the whisker system. Biol Cybern 100:427–446. doi:10.1007/s00422-008-0290-5
Rolfs M, Dambacher M, Cavanagh P (2013) Visual adaptation of the perception of causality. Curr Biol CB 23:250–254. doi:10.1016/j.cub.2012.12.017
Sanchez-Vives MV, Nowak LG, McCormick DA (2000) Membrane mechanisms underlying contrast adaptation in cat area 17 in vivo. J Neurosci 20:4267–4285
Seriès P, Stocker AA, Simoncelli EP (2009) Is the homunculus “aware” of sensory adaptation? Neural Comput 21:3271–3304. doi:10.1162/neco.2009.09-08-869
Stimberg M, Wimmer K, Martin R et al (2009) The operating regime of local computations in primary visual cortex. Cereb Cortex 19:2166–2180. doi:10.1093/cercor/bhn240
Stocker A, Simoncelli E (2006) Sensory adaptation within a Bayesian framework for perception. In: Weiss Y, Schölkopf B, Platt J (eds) Advances neural information process system, vol 18. MIT Press, Cambridge, MA, pp 1289–1296
Teich AF, Qian N (2003) Learning and adaptation in a recurrent model of V1 orientation selectivity. J Neurophysiol 89:2086–2100. doi:10.1152/jn.00970.2002
Tsodyks MV, Markram H (1997) The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc Natl Acad Sci U S A 94:719–723
Wark B, Lundstrom BN, Fairhall A (2007) Sensory adaptation. Curr Opin Neurobiol 17:423–429. doi:10.1016/j.conb.2007.07.001
Webster MA (2011) Adaptation and visual coding. J Vis 11:1–23. doi:10.1167/11.5.3
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this entry
Cite this entry
Wimmer, K. (2015). Adaptation in Sensory Cortices, Models of. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_565
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6675-8_565
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6674-1
Online ISBN: 978-1-4614-6675-8
eBook Packages: Biomedical and Life SciencesReference Module Biomedical and Life Sciences