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As our world grows increasingly connected and new technologies arise, global demands for data traffic continue to rise exponentially. Limited by the fundamental results of information theory, to meet these demands we are forced to either…

Signal Processing · Electrical Eng. & Systems 2024-10-28 Dylan Wheeler , Balasubramaniam Natarajan

From a traditional point of view, the value of information does not change during transmission. The Shannon information theory considers information transmission as a statistical phenomenon for measuring the communication channel capacity.…

Networking and Internet Architecture · Computer Science 2019-07-04 Min Chen , Yixue Hao , Hamid Gharavi , Victor C. M. Leung

This work proposes a novel computing performance unit grounded in information theory. Modern computing systems are increasingly diverse, supporting low-precision formats, hardware specialization, and emerging paradigms such as analog,…

Performance · Computer Science 2025-08-08 Max Hawkins , Richard Vuduc

Classical communication paradigms focus on accurately transmitting bits over a noisy channel, and Shannon theory provides a fundamental theoretical limit on the rate of reliable communications. In this approach, bits are treated equally,…

Information Theory · Computer Science 2022-08-05 Jincheng Dai , Ping Zhang , Kai Niu , Sixian Wang , Zhongwei Si , Xiaoqi Qin

Classical communication paradigms focus on accurately transmitting bits over a noisy channel, and Shannon theory provides a fundamental theoretical limit on the rate of reliable communications. In this approach, bits are treated equally,…

Information Theory · Computer Science 2022-06-03 Jincheng Dai , Ping Zhang , Kai Niu , Sixian Wang , Zhongwei Si , Xiaoqi Qin

Brain science and artificial intelligence have made great progress toward the understanding and engineering of the human mind. The progress has accelerated significantly since the turn of the century thanks to new methods for probing the…

Neurons and Cognition · Quantitative Biology 2021-07-29 Yoonsuck Choe

Information complexity is the interactive analogue of Shannon's classical information theory. In recent years this field has emerged as a powerful tool for proving strong communication lower bounds, and for addressing some of the major open…

Computational Complexity · Computer Science 2015-04-28 Omri Weinstein

Estimating the Shannon information associated with individual neurons is a non-trivial problem. Three key methods used to estimate the mutual information between neuron inputs and outputs are described, and a list of further readings is…

Neurons and Cognition · Quantitative Biology 2023-04-05 James V Stone

Semantic communication has emerged as a promising paradigm to address the challenges of next-generation communication networks. While some progress has been made in its conceptualization, fundamental questions remain unresolved. In this…

Information Theory · Computer Science 2025-05-05 Javad Gholipour , Rafael F. Schaefer , Gerhard P. Fettweis

Biologists rely heavily on the language of information, coding, and transmission that is commonplace in the field of information theory as developed by Claude Shannon, but there is open debate about whether such language is anything more…

Populations and Evolution · Quantitative Biology 2008-10-24 C. T. Bergstrom , M. Rosvall

Cognitive states are involving in our daily life, which motivates us to explore them and understand them by a vast variety of perspectives. Among these perspectives, brain connectivity is increasingly receiving attention in recent years. It…

Neurons and Cognition · Quantitative Biology 2020-09-16 Junhua Li , Anastasios Bezerianos , Nitish Thakor

Information theory is a statistical theory dealing with the relative state of detectors and physical systems. Because of this physicality of information, the classical framework of Shannon needs to be extended to deal with quantum…

Quantum Physics · Physics 2011-12-09 Christoph Adami

Rough speaking, information theory deals with data transmitted over a channel such as the internet. Modern information theory is generally considered to have been founded in 1948 by Shannon in his seminal paper, "A mathematical theory of…

Information Theory · Computer Science 2010-03-25 HaengJin Choe

Recently, there have been several concerted international efforts - the BRAIN initiative, European Human Brain Project and the Human Connectome Project, to name a few - that hope to revolutionize our understanding of the connected brain.…

Neurons and Cognition · Quantitative Biology 2016-02-10 Adeel Razi , Karl Friston

How the human brain processes information during different cognitive tasks is one of the greatest questions in contemporary neuroscience. Understanding the statistical properties of brain signals during specific activities is one promising…

The field of Information Theory is founded on Claude Shannon's seminal ideas relating to entropy. Nevertheless, his well-known avoidance of meaning (Shannon, 1948) still persists to this day, so that Information Theory remains poorly…

Information Theory · Computer Science 2022-01-17 Philip Tetlow , Dinesh Garg , Leigh Chase , Mark Mattingley-Scott , Nicholas Bronn , Kugendran Naidoo , Emil Reinert

The Foundations of Future Communication Systems (FFCS) conference brought together leading researchers from information theory, quantum communication, molecular communication, semantic communication, and secure network design to explore the…

Information Theory · Computer Science 2026-04-08 Christian Deppe , Eduard Jorswieck , Pin-Hsun Lin , Vida Gholamian , Marcel A. Mross

The continuous development of artificial intelligence has a profound impact on biomedicine and other fields, providing new research ideas and technical methods. Brain-inspired computing is an important intersection between multimodal…

Artificial Intelligence · Computer Science 2026-02-03 Bihui Yu , Sibo Zhang , Lili Zhou , Jingxuan Wei , Linzhuang Sun , Liping Bu

Language, as an information medium created by advanced organisms, has always been a concern of neuroscience regarding how it is represented in the brain. Decoding linguistic representations in the evoked brain has shown groundbreaking…

Computation and Language · Computer Science 2024-07-31 Yu Wang , Heyang Liu , Yuhao Wang , Chuan Xuan , Yixuan Hou , Sheng Feng , Hongcheng Liu , Yusheng Liao , Yanfeng Wang

Despite the fact that Shannon and Weaver's Mathematical Theory of Communication was published over 70 years ago, all communication systems continue to operate at the first of three levels defined in this theory: the technical level. In this…

Signal Processing · Electrical Eng. & Systems 2023-01-09 Dylan Wheeler , Erin E. Tripp , Balasubramaniam Natarajan