Open access peer-reviewed Edited Volume

Cognitive Maps

Magnus Johnsson

Lund University


Spatial representation Conceptual Representation Feature representation Information integration Cognitive map Fuzzy cognitive map Connectionist models Learning Neural circuit models Hippocampal place cells Hippocampal boundary cells Grid cells

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About the book

From a general point of view, a cognitive map is a representation of the outer environment or of more abstract concepts. For example, it might be an intelligent agent’s internal representation of its spatial environment, or it’s representation of other kinds of individual knowledge. Cognitive maps can be modeled and implemented in various ways, for example as directed graphs with nodes representing concepts related by their connections, but also in other ways such as through neural networks. This book aims to provide a comprehensive overview of the state-of-the-art when it comes to implementing cognitive maps in various ways and to address various ways to store, encode, decode, connect and relate, learn and use the information represented in cognitive maps. It will also address the neurological basis for cognitive maps in biological agents, which provides a biologically inspired system for their implementation. Consequently, models and systems inspired by those neural circuits, involving the hippocampus that presumably implements cognitive mapping in the mammal brain, are of interest too.

Publishing process

Book initiated and editor appointed

Date completed: August 14th 2019

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: September 4th 2019

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: November 3rd 2019

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: January 22nd 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: March 22nd 2020

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About the editor

Magnus Johnsson

Lund University

Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. He is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. He holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. His research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. Dr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. Web page: E-mail:

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Book chapters authored 1

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