TY  - JOUR
A1  - Wibral, Michael
A1  - Lizier, Joseph T.
A1  - Priesemann, Viola
T1  - Bits from brains for biologically inspired computing
T2  - Frontiers in robotics and AI
N2  - Inspiration for artificial biologically inspired computing is often drawn from neural systems. This article shows how to analyze neural systems using information theory with the aim of obtaining constraints that help to identify the algorithms run by neural systems and the information they represent. Algorithms and representations identified this way may then guide the design of biologically inspired computing systems. The material covered includes the necessary introduction to information theory and to the estimation of information-theoretic quantities from neural recordings. We then show how to analyze the information encoded in a system about its environment, and also discuss recent methodological developments on the question of how much information each agent carries about the environment either uniquely or redundantly or synergistically together with others. Last, we introduce the framework of local information dynamics, where information processing is partitioned into component processes of information storage, transfer, and modification – locally in space and time. We close by discussing example applications of these measures to neural data and other complex systems.
KW  - information theory
KW  - local information dynamics
KW  - partial information decomposition
KW  - neural systems
KW  - computational intelligence
KW  - biologically inspired computing
KW  - artificial neural networks
Y1  - 2015
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/51894
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-518942
SN  - 2296-9144
N1  - Copyright: © 2015 Wibral, Lizier and Priesemann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
VL  - 2
IS  - Art. 5
SP  - 1
EP  - 25
PB  - [Frontiers Research Foundation]
CY  - Lausanne
ER  -