Performance of a Leaky-Integrate-and-Fire Model vis-a-vis Measured Response of Diseased Neurons

被引：0

作者：

Panda, Sashmita ^{[1
]}

Ganguly, Chittotosh ^{[1
]}

Das, Subhrajit ^{[2
]}

Mandal, Rituparna ^{[3
]}

Chakrabarti, Saswat ^{[1
]}

机构：

[1] IIT Kharagpur, GS Sanyal Sch Telecommun, Kharagpur, W Bengal, India

[2] Univ Calcutta, Dept Radio Phys & Elect, Kolkata, India

[3] IIT Kharagpur, Dept Elect & Elect Commun Engn, Kharagpur, W Bengal, India

来源：

13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS) | 2019年

关键词：

Biological neuron; membrane potential; spike; integrate-and-fire model;

D O I：

10.1109/ants47819.2019.9118014

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Information processing in the brain is still not fully understood, and in-depth theoretical and experimental studies are required in this field. An approximate but low-complexity mathematical model on membrane potential [1] is used as a potential candidate to assess model parameters from selected measured data sets available from Allen Institute of Brain Science [2]. Four different cells having epilepsy and tumor have been considered for validating the leaky-integrate-and fire model of [1]. Values of three model parameters and their statistical features are presented in detail. Closer estimates of the model parameters will help in tuning the model and thus generating spike trains closer to what are generated by biological neurons.

引用

页数：6

共 24 条

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[24] Time-scale matching in the response of a leaky integrate-and-fire neuron model to periodic stimulus with additive noise
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Pakdaman, K
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PHYSICAL REVIEW E, 1999, 59 (03): : 3427 - 3443

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