Introduction to the Special Issue on Information Theory in Molecular Biology and Neuroscience

Milenković, Olgica; Alterovitz, Gil; Battail, Gérard; Coleman, Todd P.; Hagenauer, J.; Meyn, Sean; Price, Nathan D.; Ramoni, Marco; Shmulevich, Ilya; Szpankowski, Wojciech

doi:10.1109/tit.2009.2036971

Cited by 23 publications

(19 citation statements)

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“…Early applications of the information theory to neurosciences, however, failed to provide the expected insight, mostly because of lack of understanding of the involved biological processes. Recently, as biologically relevant biophysical models of neurons are available and as experimental data from different sensory systems are gathered routinely, there is a marked revival of interest in information-theoretic methods (Dimitrov et al, 2011;Milenkovic et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Optimal decoding and information transmission in Hodgkin–Huxley neurons under metabolic cost constraints

Kostal

Kobayashi

2015

Biosystems

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Section: Introductionmentioning

confidence: 99%

Optimal decoding and information transmission in Hodgkin–Huxley neurons under metabolic cost constraints

Kostal

Kobayashi

2015

Biosystems

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“…It is therefore no wonder that communication theorists have plied their trade heavily in this scientific domain (for a recent review, see [1]). Biological systems offer a dizzying array of processes and phenomena through which the same and/or different tasks, communication or otherwise, might be accomplished (see, for example, [2]- [7]).…”

Section: Introductionmentioning

confidence: 99%

“…Typically, the application of communication theory to biology starts by selecting a candidate system whose components and operations have already been at least partially elucidated using methods in the experimental and/or computational biology toolkit [8], [9] and then applying communication theoretic methods [1], [7], [10]- [12]. However, we believe that communication theory in general and information theory in particular are not merely system analysis tools for biology.…”

Section: Introductionmentioning

confidence: 99%

Wireless signaling with identical quanta

Song¹,

Rose

Tsai

et al. 2012

2012 IEEE Wireless Communications and Networking Conference (WCNC)

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Abstract-In this short paper we describe an approach and preliminary results for obtaining bounds on mutual information between release times and capture times for a set of M identical quanta traveling from a source to a target. The first-passage times are assumed independent and identically distributed and the launch times are constrained. One major application of area is intercellular molecular signaling in biological systems whereby a cell (or group of cells) must deliver some message (such as developmental instructions) over distance with reasonable certainty to another cell (or group of cells). Another application area is communication between components of nano/molecular computers. However, the model can also be applied to any communication systems wherein indistinguishable signals have random transit latencies.

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“…INTRODUCTION B IOLOGICAL systems are networks of intercommunicating elements at whatever level one cares to consider -(macro)molecules, cells, tissues, organisms, populations, microbiomes, ecosystems, and so on. It is no wonder therefore that communication theorists have plied their trade heavily in this scientific domain (for a recent review, see [1]). Biological systems offer a dizzying array of processes and phenomena through which the same and different tasks, communication or otherwise, might be accomplished (see, for example, [2]- [7]).…”

mentioning

confidence: 99%

“…Typically, the application of communication theory to biology starts by selecting a candidate system whose components and operations have been already elucidated to varying degrees using methods in the experimental and/or computational biology toolbox [8], [9] and then applying communication theoretic methods [1], [7], [10]- [12]. However, we believe that communication theory in general and information theory in particular is not merely a system analysis tool for biology.…”

mentioning

confidence: 99%

An additive exponential noise channel with a transmission deadline

Tsai¹,

Rose²,

Song³

et al. 2011

2011 IEEE International Symposium on Information Theory Proceedings

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Abstract-We derive the maximum mutual information for an additive exponential noise (AEN) channel with a peak input constraint. We find that the optimizing input density is mixed (with singularities) similar to previous results for AEN channels with a mean input constraint. Likewise, the maximum mutual information takes a similar form, though obviously the maximum for the peak constraint is smaller than for the corresponding mean-constrained channel. This model is inspired by multiple biological phenomena and processes which can be abstracted as follows: inscribed matter is sent by an emitter, moves through a medium, and arrives eventually at its destination receptor. The inscribed matter can convey information in a variety of ways such as the number of signaling quanta -molecules, macromolecular complexes, organelles, cells and tissues -that are emitted as well as the detailed pattern of their release. However, rather than focus on a general class of emitter-receptor systems or a particular exemplar of biomedical importance, our ultimate goal is to provide bounds on the potential efficacy of timed-release signaling for any system which emits identical signaling quanta. That is, we seek to apply one of the most potent aspects of information theory to biological signaling -mechanism blindness -in the hopes of gaining insights applicable to diverse systems that span a wide range of spatiotemporal scales.

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Introduction to the Special Issue on Information Theory in Molecular Biology and Neuroscience

Cited by 23 publications

References 0 publications

Optimal decoding and information transmission in Hodgkin–Huxley neurons under metabolic cost constraints

Optimal decoding and information transmission in Hodgkin–Huxley neurons under metabolic cost constraints

Wireless signaling with identical quanta

An additive exponential noise channel with a transmission deadline

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