Hippocampus neurons and place cells/place field representation to provide path navigation

Maizura Mokhtar; David M. Halliday; Andy M. Tyrrell

Hippocampus neurons and place cells/place field representation to provide path navigation

Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell

Electronic Engineering

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

Abstract

The hippocampus region may help in the design of a neuro-controller used for path navigation of a robot. The spatial representation of the hippocampus can help provide a spatial mapping of the environment. The representation used is the place cell/place field representation. Place cell represents a population of neurons and place fields provide the spatial mapping of the environment. A place cell fires if the agent is believed to be in the environment for which its respective place field is representing. The hippocampus-inspired neural network model is not only spatially motivated but is also directionally driven. This model will be fully implemented onto an FPGA device to provide autonomy.

Original language	English
Title of host publication	2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6
Place of Publication	NEW YORK
Publisher	IEEE
Pages	795-800
Number of pages	6
ISBN (Print)	978-1-4244-1379-9
Publication status	Published - 2007
Event	International Joint Conference on Neural Networks - Orlando Duration: 12 Aug 2007 → 17 Aug 2007

Conference

Conference	International Joint Conference on Neural Networks
City	Orlando
Period	12/08/07 → 17/08/07

Keywords

neural network architecture
neural network hardware
MODEL
ROBOTS

Cite this

@inproceedings{97e517663769432e902ebc45814dc64b,

title = "Hippocampus neurons and place cells/place field representation to provide path navigation",

abstract = "The hippocampus region may help in the design of a neuro-controller used for path navigation of a robot. The spatial representation of the hippocampus can help provide a spatial mapping of the environment. The representation used is the place cell/place field representation. Place cell represents a population of neurons and place fields provide the spatial mapping of the environment. A place cell fires if the agent is believed to be in the environment for which its respective place field is representing. The hippocampus-inspired neural network model is not only spatially motivated but is also directionally driven. This model will be fully implemented onto an FPGA device to provide autonomy.",

keywords = "neural network architecture, neural network hardware, MODEL, ROBOTS",

author = "Maizura Mokhtar and Halliday, {David M.} and Tyrrell, {Andy M.}",

year = "2007",

language = "English",

isbn = "978-1-4244-1379-9",

pages = "795--800",

booktitle = "2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6",

publisher = "IEEE",

address = "United States",

note = "International Joint Conference on Neural Networks ; Conference date: 12-08-2007 Through 17-08-2007",

}

TY - GEN

T1 - Hippocampus neurons and place cells/place field representation to provide path navigation

AU - Mokhtar, Maizura

AU - Halliday, David M.

AU - Tyrrell, Andy M.

PY - 2007

Y1 - 2007

N2 - The hippocampus region may help in the design of a neuro-controller used for path navigation of a robot. The spatial representation of the hippocampus can help provide a spatial mapping of the environment. The representation used is the place cell/place field representation. Place cell represents a population of neurons and place fields provide the spatial mapping of the environment. A place cell fires if the agent is believed to be in the environment for which its respective place field is representing. The hippocampus-inspired neural network model is not only spatially motivated but is also directionally driven. This model will be fully implemented onto an FPGA device to provide autonomy.

AB - The hippocampus region may help in the design of a neuro-controller used for path navigation of a robot. The spatial representation of the hippocampus can help provide a spatial mapping of the environment. The representation used is the place cell/place field representation. Place cell represents a population of neurons and place fields provide the spatial mapping of the environment. A place cell fires if the agent is believed to be in the environment for which its respective place field is representing. The hippocampus-inspired neural network model is not only spatially motivated but is also directionally driven. This model will be fully implemented onto an FPGA device to provide autonomy.

KW - neural network architecture

KW - neural network hardware

KW - MODEL

KW - ROBOTS

M3 - Conference contribution

SN - 978-1-4244-1379-9

SP - 795

EP - 800

BT - 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6

PB - IEEE

CY - NEW YORK

T2 - International Joint Conference on Neural Networks

Y2 - 12 August 2007 through 17 August 2007

ER -