Abstract
The present paper investigated the neural mechanisms underlying dynamic neural representation in the prefrontal cortex (PFC), which is thought to play a crucial role in flexible cognitive behavior. Neural representation is discrete or continuous according to the information to be encoded. The multistable attractor model is a plausible theory of flexible control of representation. Attractor states are dependent on functional connectivity in which neuronal subpopulations actively communicate with one another at any particular moment in time. We discussed new optogenetics tools to manipulate the state of local circuits to investigate dynamical neural function.
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References
Fuster, J. M. “The Prefrontal Cortex, Fourth Edition” Academic Press. (2008).
Miller EK, Cohen JD. An integrative theory of prefrontal cortex function. Annu Rev Neurosci.24(2001):167–202.
Duncan, J. An adaptive coding model of neural function in prefrontal cortex. Nat. Rev. Neurosci. 2(2001): 820–829.
Tanji, J., and Hoshi, E. Role of the lateral prefrontal cortex in executive behavioral control. Physiol. Rev. 88(2008), 37–57.
Haken, H. Principles of brain functioning: Berlin, Heidelberg, New York, Springer. (1996).
Amit DJ. Modeling Brain Function: The World of Attractor Neural Networks. Cambridge University Press. (1992)
Izhikevich EM. Dynamical Systems in Neuroscience The MIT Press (2010)
Rainer G, Rao SC, Miller EK. Prospective coding for objects in primate prefrontal cortex. J Neurosci. 19(13)(1999):5493–505.
Romo R, Brody CD, Hernández A, Lemus L. Neuronal correlates of parametric working memory in the prefrontal cortex. Nature. 399(1999):470–3.
Saito N, Mushiake H, Sakamoto K, Itoyama Y, Tanji J. Representation of immediate and final behavioral goals in the monkey prefrontal cortex during an instructed delay period.Cereb Cortex. 15( 2005):1535–46.
Sakamoto K, Mushiake H, Saito N, Aihara K, Yano M, Tanji J. Discharge synchrony during the transition of behavioral goal representations encoded by discharge rates of prefrontal neurons. Cereb Cortex.18( 2008):2036–45.
Genovesio A, Tsujimoto S, Wise SP Feature- and order-based timing representations in the frontal cortex. Neuron. 63 (2009):254–66.
Tanji J, Mushiake H. Which object appeared longer? Neuron. 63 (2009):148–9.
Mushiake H, Saito N, Sakamoto K, Itoyama Y, Tanji J. Activity in the lateral prefrontal cortex reflects multiple steps of future events in action plans. Neuron. 50(2006):631–41.
Mita A, Mushiake H, Shima K, Matsuzaka Y, Tanji J. Interval time coding by neurons in the presupplementary and supplementary motor areas. Nat Neurosci. 12(2009):502–7.
Gold JI, Shadlen MN. The neural basis of decision making. Annu Rev Neurosci. (2007) 30:535–74.
Wang XJ. Synaptic reverberation underlying mnemonic persistent activity. Trends Neurosci. 24(2001):455–63.
Rolls, E. T., Loh, M., Deco, G., and Winterer, G. (2008). Computational models of schizophrenia and dopamine modulation in the prefrontal cortex. Nat. Rev. Neurosci. 9, 696–709.
Buzsaki G, Neural syntax: cell assemblies, synapsembles, and readers. Neuron. 68 (2010):362–85.
Haider B, McCormick DA Rapid neocortical dynamics: cellular and network mechanisms. Neuron. 62(2009):171–89.
Zhang F, Aravanis AM, Adamantidis A, de Lecea L, Deisseroth K. Circuit-breakers: optical technologies for probing neural signals and systems. Nat Rev Neurosci. 8(2007):577–81.
Wen L, Wang H, Tanimoto S, Egawa R, Matsuzaka Y, Mushiake H, Ishizuka T, Yawo H. Opto-current-clamp actuation of cortical neurons using a strategically designed channelrhodopsin. PLoS One.5(9) (2010) :e12893.
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Mushiake, H., Shima, K., Sakamoto, K., Katori, Y., Aihara, K. (2013). Dynamic Neuronal Representation in the Prefrontal Cortex. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_2
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DOI: https://doi.org/10.1007/978-94-007-4792-0_2
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