Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit

J.H.B. Wijekoon; Piotr Dudek

doi:10.1109/IJCNN.2007.4371151

Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit

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

Abstract

The paper presents a silicon neuron circuit that mimics the behaviour of known classes of biological neurons. The circuit has been designed in a 0.35 mum CMOS technology. The firing patterns of basic cell classes: regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB) are obtained with a simple adjustment of two biasing voltages. The simulations reveal the potential of the circuit to provide a wide variety of cell behaviours with required accommodation and firing frequency of a given cell type. The neuron consumes only 14 MOSFETs enabling the integration of many neurons in a small silicon area. Hence, the circuit provides a foundation for designing massively parallel analogue neuromorphic networks that closely resemble the circuits of the cortex.

Original language	English
Title of host publication	IEEE International Conference on Neural Networks - Conference Proceedings\|IEEE Int. Conf. Neural. Netw. Conf. Proc.
Publisher	IEEE
Pages	1332-1337
Number of pages	5
ISBN (Print)	142441380X, 9781424413805
DOIs	https://doi.org/10.1109/IJCNN.2007.4371151
Publication status	Published - 12 Aug 2007
Event	2007 International Joint Conference on Neural Networks, IJCNN 2007 - Orlando, FL Duration: 1 Jul 2007 → …

Conference

Conference	2007 International Joint Conference on Neural Networks, IJCNN 2007
City	Orlando, FL
Period	1/07/07 → …

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10.1109/IJCNN.2007.4371151

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@inproceedings{6e3ed5efaf8647a6bdb52004d8f04c6a,

title = "Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit",

abstract = "The paper presents a silicon neuron circuit that mimics the behaviour of known classes of biological neurons. The circuit has been designed in a 0.35 mum CMOS technology. The firing patterns of basic cell classes: regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB) are obtained with a simple adjustment of two biasing voltages. The simulations reveal the potential of the circuit to provide a wide variety of cell behaviours with required accommodation and firing frequency of a given cell type. The neuron consumes only 14 MOSFETs enabling the integration of many neurons in a small silicon area. Hence, the circuit provides a foundation for designing massively parallel analogue neuromorphic networks that closely resemble the circuits of the cortex.",

author = "J.H.B. Wijekoon and Piotr Dudek",

note = "Best Paper Award; 2007 International Joint Conference on Neural Networks, IJCNN 2007 ; Conference date: 01-07-2007",

year = "2007",

month = aug,

day = "12",

doi = "10.1109/IJCNN.2007.4371151",

language = "English",

isbn = "142441380X",

pages = "1332--1337",

booktitle = "IEEE International Conference on Neural Networks - Conference Proceedings|IEEE Int. Conf. Neural. Netw. Conf. Proc.",

publisher = "IEEE",

address = "United States",

}

Wijekoon, JHB & Dudek, P 2007, Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit. in IEEE International Conference on Neural Networks - Conference Proceedings|IEEE Int. Conf. Neural. Netw. Conf. Proc.. IEEE, pp. 1332-1337, 2007 International Joint Conference on Neural Networks, IJCNN 2007, Orlando, FL, 1/07/07. https://doi.org/10.1109/IJCNN.2007.4371151

TY - GEN

T1 - Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit

AU - Wijekoon, J.H.B.

AU - Dudek, Piotr

N1 - Best Paper Award

PY - 2007/8/12

Y1 - 2007/8/12

N2 - The paper presents a silicon neuron circuit that mimics the behaviour of known classes of biological neurons. The circuit has been designed in a 0.35 mum CMOS technology. The firing patterns of basic cell classes: regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB) are obtained with a simple adjustment of two biasing voltages. The simulations reveal the potential of the circuit to provide a wide variety of cell behaviours with required accommodation and firing frequency of a given cell type. The neuron consumes only 14 MOSFETs enabling the integration of many neurons in a small silicon area. Hence, the circuit provides a foundation for designing massively parallel analogue neuromorphic networks that closely resemble the circuits of the cortex.

AB - The paper presents a silicon neuron circuit that mimics the behaviour of known classes of biological neurons. The circuit has been designed in a 0.35 mum CMOS technology. The firing patterns of basic cell classes: regular spiking (RS), fast spiking (FS), chattering (CH) and intrinsic bursting (IB) are obtained with a simple adjustment of two biasing voltages. The simulations reveal the potential of the circuit to provide a wide variety of cell behaviours with required accommodation and firing frequency of a given cell type. The neuron consumes only 14 MOSFETs enabling the integration of many neurons in a small silicon area. Hence, the circuit provides a foundation for designing massively parallel analogue neuromorphic networks that closely resemble the circuits of the cortex.

U2 - 10.1109/IJCNN.2007.4371151

DO - 10.1109/IJCNN.2007.4371151

M3 - Conference contribution

SN - 142441380X

SN - 9781424413805

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EP - 1337

BT - IEEE International Conference on Neural Networks - Conference Proceedings|IEEE Int. Conf. Neural. Netw. Conf. Proc.

PB - IEEE

T2 - 2007 International Joint Conference on Neural Networks, IJCNN 2007

Y2 - 1 July 2007

ER -

Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit

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