Developmental evolution of dendritic morphology in a multi-compartmental neuron model

A.G. Rust; R.G. Adams

Developmental evolution of dendritic morphology in a multi-compartmental neuron model

A.G. Rust
, R.G. Adams

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

5 Citations (Scopus)

42 Downloads (Pure)

Abstract

Through the use of a multi-compartmental neuron simulation, Mainen and Sejnowski demonstrated that spike generation in neurons is a function of their dendritic structure [l]. In this paper we investigate the determination of dendritic morphology given a desired set of spike traces. A genetic algorithm is used to identify optimal parameters for a developmental model which simulates the growth of 3-dimensional dendrites. For two ’classes of ’neurons with different spiking behaviour, the developmental evolutionary process discovers ranges of viable dendritic morphologies which satisfactorally match the desired spike traces.

Original language	English
Title of host publication	Artificial Neural Networks
Publisher	IEE
Pages	383-388
Publication status	Published - 1999

Access to Document

901758Accepted author manuscript, 491 KB

Cite this

@inproceedings{bceb586a946045c0834dccd174c32817,

title = "Developmental evolution of dendritic morphology in a multi-compartmental neuron model",

abstract = "Through the use of a multi-compartmental neuron simulation, Mainen and Sejnowski demonstrated that spike generation in neurons is a function of their dendritic structure [l]. In this paper we investigate the determination of dendritic morphology given a desired set of spike traces. A genetic algorithm is used to identify optimal parameters for a developmental model which simulates the growth of 3-dimensional dendrites. For two {\textquoteright}classes of {\textquoteright}neurons with different spiking behaviour, the developmental evolutionary process discovers ranges of viable dendritic morphologies which satisfactorally match the desired spike traces.",

author = "A.G. Rust and R.G. Adams",

note = "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",

year = "1999",

language = "English",

pages = "383--388",

booktitle = "Artificial Neural Networks",

publisher = "IEE",

}

TY - GEN

T1 - Developmental evolution of dendritic morphology in a multi-compartmental neuron model

AU - Rust, A.G.

AU - Adams, R.G.

N1 - This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 1999

Y1 - 1999

N2 - Through the use of a multi-compartmental neuron simulation, Mainen and Sejnowski demonstrated that spike generation in neurons is a function of their dendritic structure [l]. In this paper we investigate the determination of dendritic morphology given a desired set of spike traces. A genetic algorithm is used to identify optimal parameters for a developmental model which simulates the growth of 3-dimensional dendrites. For two ’classes of ’neurons with different spiking behaviour, the developmental evolutionary process discovers ranges of viable dendritic morphologies which satisfactorally match the desired spike traces.

AB - Through the use of a multi-compartmental neuron simulation, Mainen and Sejnowski demonstrated that spike generation in neurons is a function of their dendritic structure [l]. In this paper we investigate the determination of dendritic morphology given a desired set of spike traces. A genetic algorithm is used to identify optimal parameters for a developmental model which simulates the growth of 3-dimensional dendrites. For two ’classes of ’neurons with different spiking behaviour, the developmental evolutionary process discovers ranges of viable dendritic morphologies which satisfactorally match the desired spike traces.

M3 - Conference contribution

SP - 383

EP - 388

BT - Artificial Neural Networks

PB - IEE

ER -

Developmental evolution of dendritic morphology in a multi-compartmental neuron model

Abstract

Access to Document

Fingerprint

Cite this