PMID: 9527836Apr 4, 1998Paper

Temporal-code to rate-code conversion by neuronal phase-locked loops

Neural Computation
E Ahissar

Abstract

Peripheral sensory activity follows the temporal structure of input signals. Central sensory processing uses also rate coding, and motor outputs appear to be primarily encoded by rate. I propose here a simple, efficient structure, converting temporal coding to rate coding by neuronal phase-locked loops (PLL). The simplest form of a PLL includes a phase detector (that is, a neuronal-plausible version of an ideal coincidence detector) and a controllable local oscillator that are connected in a negative feedback loop. The phase detector compares the firing times of the local oscillator and the input and provides an output whose firing rate is monotonically related to the time difference. The output rate is fed back to the local oscillator and forces it to phase-lock to the input. Every temporal interval at the input is associated with a specific pair of output rate and time difference values; the higher the output rate, the further the local oscillator is driven from its intrinsic frequency. Sequences of input intervals, which by definition encode input information, are thus represented by sequences of firing rates at the PLL's output. The most plausible implementation of PLL circuits is by thalamocortical loops in which populatio...Continue Reading

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Citations

Apr 15, 2006·Biological cybernetics·Oleksandr V PopovychPeter A Tass
May 21, 2008·Biological cybernetics·Ehud Ahissar, Per Magne Knutsen
Jan 19, 2005·The European Journal of Neuroscience·David WilliamsPeter Brown
Apr 3, 2001·Annual Review of Neuroscience·R Romo, E Salinas
Jun 26, 2004·Annual Review of Neuroscience·Michael D Mauk, Dean V Buonomano
Feb 1, 2008·Journal of Neurophysiology·Radi MasriAsaf Keller
Jun 19, 2009·Journal of Neurophysiology·Shubhodeep Chakrabarti, Kevin D Alloway
Jan 18, 2007·PLoS Biology·Samar B MehtaDavid Kleinfeld
Jun 25, 2010·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Jeremy D Cohen, Manuel A Castro-Alamancos
Oct 31, 2002·Proceedings of the National Academy of Sciences of the United States of America·Kurt F AhrensDavid Kleinfeld
Nov 8, 2001·Proceedings of the National Academy of Sciences of the United States of America·E AhissarM M Merzenich
May 7, 2014·Journal of Computational Neuroscience·Goren GordonEhud Ahissar
Dec 24, 2014·Vision Research·Ehud AhissarYoram Bonneh
Feb 2, 2008·IEEE Transactions on Neural Networks·J C PiqueiraL A Monteiro
Feb 2, 2008·IEEE Transactions on Neural Networks·Hui-Liang Jin, M Zacksenhouse
Jul 5, 2013·Cerebral Cortex·Alexander GrohLászló Acsády
Mar 15, 2008·Current Opinion in Neurobiology·Stuart N Baker
Oct 31, 2001·Neuron·E Ahissar, A Arieli
Dec 4, 2003·Neuron·Marcin SzwedEhud Ahissar
Apr 9, 2014·Current Opinion in Neurobiology·Chris Eliasmith, Oliver Trujillo
Nov 12, 2013·Cerebral Cortex·Ehud Ahissar, Tess Oram
Sep 26, 2013·Cerebral Cortex·Chunxiu YuEhud Ahissar
May 10, 2016·ELife·Ehud Ahissar, Eldad Assa
May 12, 2004·Journal of Neurophysiology·Christopher I Moore
Mar 4, 2003·Nature Reviews. Neuroscience·Ranulfo Romo, Emilio Salinas
Dec 13, 2005·Chemical Senses·Adam KepecsZachary F Mainen
Aug 16, 2006·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Valerii KrachkovskyiPeter A Tass
Apr 26, 2008·Journal of Neurophysiology·R Blythe Towal, Mitra J Z Hartmann
Aug 14, 2008·Journal of Neurophysiology·Ehud AhissarChunxiu Yu
Jul 17, 2004·Women & Health·Janice Du Mont, Margaret J McGregor
Jun 30, 2001·Journal of Neurophysiology·E AhissarS Haidarliu
Jan 9, 2019·Frontiers in Cellular Neuroscience·Philipp StratmannHenrik Jörntell
Jun 30, 2001·Journal of Neurophysiology·R SosnikE Ahissar
Jun 9, 2020·Frontiers in Neuroscience·Richard M VickeryIngvars Birznieks
Oct 16, 2020·PloS One·Liron Zipora Gruber, Ehud Ahissar
Sep 30, 2018·Trends in Cognitive Sciences·Michele RucciDavid Burr

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