Self-wiring of neural networks

Ronen Segev; Eshel Ben-Jacob

doi:10.1016/S0375-9601(97)00870-0

Self-wiring of neural networks

Ronen Segev, Eshel Ben-Jacob

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

In order to form the intricate network of synaptic connections in the brain, the growth cones migrate through the embryonic environment to their targets using chemical communication. As a first step to study self-wiring, 2D model systems of neurons have been used. We present a simple model to reproduce the salient features of the 2D systems. The model incorporates random walkers representing the growth cones, which migrate in response to chemotaxis substances emitted by the soma and communicating with each other and with the soma by means of attractive chemotactic "feedback".

Original language	English
Pages (from-to)	307-313
Number of pages	7
Journal	Physics Letters, Section A: General, Atomic and Solid State Physics
Volume	237
Issue number	4-5
DOIs	https://doi.org/10.1016/S0375-9601(97)00870-0
State	Published - 12 Jan 1998
Externally published	Yes

Keywords

Chemotaxis
Growth cones
Internal energy
Neural network

ASJC Scopus subject areas

General Physics and Astronomy

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10.1016/S0375-9601(97)00870-0

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title = "Self-wiring of neural networks",

abstract = "In order to form the intricate network of synaptic connections in the brain, the growth cones migrate through the embryonic environment to their targets using chemical communication. As a first step to study self-wiring, 2D model systems of neurons have been used. We present a simple model to reproduce the salient features of the 2D systems. The model incorporates random walkers representing the growth cones, which migrate in response to chemotaxis substances emitted by the soma and communicating with each other and with the soma by means of attractive chemotactic {"}feedback{"}.",

keywords = "Chemotaxis, Growth cones, Internal energy, Neural network",

author = "Ronen Segev and Eshel Ben-Jacob",

note = "Funding Information: We have benefited from fruitful discussions with E. Braun, A Czirok, B. Dwir, D. Horn, D. Michelson, and D. Kessler. We thank E. Braun for sharing with us his unpublished results. This researchh as been supported in part by a Grant from the BSF, no. 9540410, a Grant from the Israeli Science Foundation, and the Sigel Prize for Research.",

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AU - Segev, Ronen

AU - Ben-Jacob, Eshel

N1 - Funding Information: We have benefited from fruitful discussions with E. Braun, A Czirok, B. Dwir, D. Horn, D. Michelson, and D. Kessler. We thank E. Braun for sharing with us his unpublished results. This researchh as been supported in part by a Grant from the BSF, no. 9540410, a Grant from the Israeli Science Foundation, and the Sigel Prize for Research.

PY - 1998/1/12

Y1 - 1998/1/12

N2 - In order to form the intricate network of synaptic connections in the brain, the growth cones migrate through the embryonic environment to their targets using chemical communication. As a first step to study self-wiring, 2D model systems of neurons have been used. We present a simple model to reproduce the salient features of the 2D systems. The model incorporates random walkers representing the growth cones, which migrate in response to chemotaxis substances emitted by the soma and communicating with each other and with the soma by means of attractive chemotactic "feedback".

AB - In order to form the intricate network of synaptic connections in the brain, the growth cones migrate through the embryonic environment to their targets using chemical communication. As a first step to study self-wiring, 2D model systems of neurons have been used. We present a simple model to reproduce the salient features of the 2D systems. The model incorporates random walkers representing the growth cones, which migrate in response to chemotaxis substances emitted by the soma and communicating with each other and with the soma by means of attractive chemotactic "feedback".

KW - Chemotaxis

KW - Growth cones

KW - Internal energy

KW - Neural network

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JF - Physics Letters, Section A: General, Atomic and Solid State Physics

IS - 4-5

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Self-wiring of neural networks

Abstract

Keywords

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