PMID: 9188192Jul 1, 1997Paper

Paradigmatic working memory (attractor) cell in IT cortex

Neural Computation
D J AmitV Yakovlev

Abstract

We discuss paradigmatic properties of the activity of single cells comprising an attractor-a developed stable delay activity distribution. To demonstrate these properties and a methodology for measuring their values, we present a detailed account of the spike activity recorded from a single cell in the inferotemporal cortex of a monkey performing a delayed match-to-sample (DMS) task of visual images. In particular, we discuss and exemplify (1) the relation between spontaneous activity and activity immediately preceding the first stimulus in each trial during a series of DMS trials, (2) the effect on the visual response (i.e., activity during stimulation) of stimulus degradation (moving in the space of IT afferents), (3) the behavior of the delay activity (i.e., activity following visual stimulation) under stimulus degradation (attractor dynamics and the basin of attraction), and (4) the propagation of information between trials-the vehicle for the formation of (contextual) correlations by learning a fixed stimulus sequence (Miyashita, 1988). In the process of the discussion and demonstration, we expose effective tools for the identification and characterization of attractor dynamics.

References

Oct 1, 1991·Neuroscience Research·Y MiyashitaN Masui
Aug 17, 1995·Nature·G V Williams, P S Goldman-Rakic
Jul 1, 1994·Mammalian Genome : Official Journal of the International Mammalian Genome Society·T E BroadC Jones
Nov 15, 1996·Neural Computation·N Brunel

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Citations

May 4, 2010·Experimental Brain Research·Valentina Daelli, Alessandro Treves
Oct 6, 1998·Comptes rendus de l'Académie des sciences. Série III, Sciences de la vie·N Brunel, J P Nadal
Apr 18, 2002·Brain Research. Cognitive Brain Research·Masahiko Morita, Atsuo Suemitsu
May 2, 2002·The European Journal of Neuroscience·Gregor Rainer, Earl K Miller
Sep 25, 1999·Network : Computation in Neural Systems·D J Amit
Dec 23, 1998·Network : Computation in Neural Systems·P Del GiudiceD J Amit
Apr 1, 2010·BMC Neuroscience·Oussama H HamidJochen Braun
May 10, 2008·PLoS Computational Biology·Yasuko Sugase-MiyamotoBarry J Richmond
Mar 27, 2004·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Jean-Marc FellousTerrence J Sejnowski
Aug 12, 2014·Neural Networks : the Official Journal of the International Neural Network Society·Nicola Catenacci VolpiGiovanni Pezzulo
Jun 28, 2005·The European Journal of Neuroscience·Gianluigi MongilloDaniel J Amit
Apr 9, 2014·Current Opinion in Neurobiology·Omri Barak, Misha Tsodyks
Aug 16, 2011·Brain Research·Athena AkramiAlessandro Treves
Dec 8, 2017·PloS One·Oliver L C Rourke, Daniel A Butts
Jan 18, 2005·Nature Reviews. Neuroscience·Tatiana Pasternak, Mark W Greenlee
Dec 29, 2000·Nature Neuroscience·D DurstewitzT J Sejnowski
Sep 26, 2012·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Eleonora Russo, Alessandro Treves
Apr 5, 2018·Frontiers in Neuroscience·Giancarlo La CameraBarry J Richmond
Jan 23, 2021·Physical Review Letters·Francesca SchönsbergAlessandro Treves

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