A neuron signature based spike feature extraction algorithm for on-chip implementation

Zhi Yang; Tung Chien Chen; Wentai Liu

A neuron signature based spike feature extraction algorithm for on-chip implementation

Zhi Yang, Tung Chien Chen, Wentai Liu

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

Abstract

A spike derivative based feature extraction algorithm is reported in this paper. The theoretical framework includes neuronal geometry signatures and noise shaping. Through evaluating neuronal geometry signatures with compartment model, we obtain improved differentiation among similar spikes by emphasizing high frequency signal spectrum. Through studying the noise properties, we find the total noise reduces by taking the derivative of spikes, which is the simplest frequency shaping filter boosting the high frequency signal spectrum. In addition, a preliminary hardware implementation to extract spike features has been realized using an integrated microchip interfaced with a personal computer.

Original language	English (US)
Title of host publication	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages	1716-1719
Number of pages	4
State	Published - Dec 1 2008
Externally published	Yes
Event	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada Duration: Aug 20 2008 → Aug 25 2008

Publication series

Name	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Other

Other	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/Territory	Canada
City	Vancouver, BC
Period	8/20/08 → 8/25/08

OpenUrl availability

Full text

Cite this

Yang, Z., Chen, T. C., & Liu, W. (2008). A neuron signature based spike feature extraction algorithm for on-chip implementation. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 1716-1719). Article 4649507 (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology").

A neuron signature based spike feature extraction algorithm for on-chip implementation. / Yang, Zhi; Chen, Tung Chien; Liu, Wentai.
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. p. 1716-1719 4649507 (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology").

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

Yang, Z, Chen, TC & Liu, W 2008, A neuron signature based spike feature extraction algorithm for on-chip implementation. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08., 4649507, Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", pp. 1716-1719, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 8/20/08.

Yang Z, Chen TC, Liu W. A neuron signature based spike feature extraction algorithm for on-chip implementation. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. p. 1716-1719. 4649507. (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology").

Yang, Zhi ; Chen, Tung Chien ; Liu, Wentai. / A neuron signature based spike feature extraction algorithm for on-chip implementation. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. pp. 1716-1719 (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology").

@inproceedings{23f50991adde4630bed02a89c9614a2d,

title = "A neuron signature based spike feature extraction algorithm for on-chip implementation",

abstract = "A spike derivative based feature extraction algorithm is reported in this paper. The theoretical framework includes neuronal geometry signatures and noise shaping. Through evaluating neuronal geometry signatures with compartment model, we obtain improved differentiation among similar spikes by emphasizing high frequency signal spectrum. Through studying the noise properties, we find the total noise reduces by taking the derivative of spikes, which is the simplest frequency shaping filter boosting the high frequency signal spectrum. In addition, a preliminary hardware implementation to extract spike features has been realized using an integrated microchip interfaced with a personal computer.",

author = "Zhi Yang and Chen, {Tung Chien} and Wentai Liu",

year = "2008",

month = dec,

day = "1",

language = "English (US)",

isbn = "9781424418152",

series = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - {"}Personalized Healthcare through Technology{"}",

pages = "1716--1719",

booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",

note = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",

}

TY - GEN

T1 - A neuron signature based spike feature extraction algorithm for on-chip implementation

AU - Yang, Zhi

AU - Chen, Tung Chien

AU - Liu, Wentai

PY - 2008/12/1

Y1 - 2008/12/1

N2 - A spike derivative based feature extraction algorithm is reported in this paper. The theoretical framework includes neuronal geometry signatures and noise shaping. Through evaluating neuronal geometry signatures with compartment model, we obtain improved differentiation among similar spikes by emphasizing high frequency signal spectrum. Through studying the noise properties, we find the total noise reduces by taking the derivative of spikes, which is the simplest frequency shaping filter boosting the high frequency signal spectrum. In addition, a preliminary hardware implementation to extract spike features has been realized using an integrated microchip interfaced with a personal computer.

AB - A spike derivative based feature extraction algorithm is reported in this paper. The theoretical framework includes neuronal geometry signatures and noise shaping. Through evaluating neuronal geometry signatures with compartment model, we obtain improved differentiation among similar spikes by emphasizing high frequency signal spectrum. Through studying the noise properties, we find the total noise reduces by taking the derivative of spikes, which is the simplest frequency shaping filter boosting the high frequency signal spectrum. In addition, a preliminary hardware implementation to extract spike features has been realized using an integrated microchip interfaced with a personal computer.

UR - http://www.scopus.com/inward/record.url?scp=61849148711&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61849148711&partnerID=8YFLogxK

M3 - Conference contribution

C2 - 19163010

AN - SCOPUS:61849148711

SN - 9781424418152

T3 - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

SP - 1716

EP - 1719

BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

Y2 - 20 August 2008 through 25 August 2008

ER -

A neuron signature based spike feature extraction algorithm for on-chip implementation

Abstract

Publication series

Other

OpenUrl availability

Other files and links

Fingerprint

Cite this