Probe the Potts states in the minicolumn dynamics

Sanming Song; Hongxun Yao

doi:10.1007/978-3-642-21105-8_3

Probe the Potts states in the minicolumn dynamics

Sanming Song^*
, Hongxun Yao

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Minicolumn has been widely accepted not only as the basic structural element of the cortex anatomically, but also as the fundamental functional unit physiologically. And, it is believed by many theorists that the minicolumn may function as a Potts spine, only takes on finite discrete states. But its feasibility is unclear. In order to provide a biophysical evidence for the Potts assumption, a model is proposed to analyze the dynamics of minicolumn. With simulation, we found that Potts states may originate from the temporary high synchronization of neuronal subsets. Furthermore, after analyzing the average number of synchronous spiking neurons, we propose a novel and important assumption that, intrinsically-busting neurons may play a critical role in stabilizing the Potts states.

Original language	English
Title of host publication	Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011
Pages	17-26
Number of pages	10
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-21105-8_3
State	Published - 2011
Externally published	Yes
Event	8th International Symposium on Neural Networks, ISNN 2011 - Guilin, China Duration: 29 May 2011 → 1 Jun 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6675 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Symposium on Neural Networks, ISNN 2011
Country/Territory	China
City	Guilin
Period	29/05/11 → 1/06/11

Keywords

Potts states
intrinsically-busting neuron
minicolumn

Access to Document

10.1007/978-3-642-21105-8_3

Cite this

Song, S., & Yao, H. (2011). Probe the Potts states in the minicolumn dynamics. In Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011 (PART 1 ed., pp. 17-26). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6675 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-21105-8_3

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abstract = "Minicolumn has been widely accepted not only as the basic structural element of the cortex anatomically, but also as the fundamental functional unit physiologically. And, it is believed by many theorists that the minicolumn may function as a Potts spine, only takes on finite discrete states. But its feasibility is unclear. In order to provide a biophysical evidence for the Potts assumption, a model is proposed to analyze the dynamics of minicolumn. With simulation, we found that Potts states may originate from the temporary high synchronization of neuronal subsets. Furthermore, after analyzing the average number of synchronous spiking neurons, we propose a novel and important assumption that, intrinsically-busting neurons may play a critical role in stabilizing the Potts states.",

keywords = "Potts states, intrinsically-busting neuron, minicolumn",

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Song, S & Yao, H 2011, Probe the Potts states in the minicolumn dynamics. in Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6675 LNCS, pp. 17-26, 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, 29/05/11. https://doi.org/10.1007/978-3-642-21105-8_3

Probe the Potts states in the minicolumn dynamics. / Song, Sanming; Yao, Hongxun.
Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011. PART 1. ed. 2011. p. 17-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6675 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Probe the Potts states in the minicolumn dynamics

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