scholarly journals Correction to: The biological Maxwell's demons: exploring ideas about the information processing in biological systems

2021 ◽  
Author(s):  
Eduardo Mizraji
Keyword(s):  
Information Processing ◽  
Biological Systems

scholarly journals Optimal Size for Maximal Energy Efficiency in Information Processing of Biological Systems Due to Bistability

2015 ◽  
Vol 32 (11) ◽  
pp. 110501 ◽  
Author(s):  
Chi Zhang ◽  
Li-Wei Liu ◽  
Long-Fei Wang ◽  
Yuan Yue ◽  
Lian-Chun Yu
Keyword(s):  
Energy Efficiency ◽  
Information Processing ◽  
Biological Systems ◽  
Optimal Size ◽  
Maximal Energy

The Embodiment of Synthetic Emotion

2015 ◽  
pp. 204-212
Author(s):  
Carlos Herrera ◽  
M.G. Sánchez-Escribano ◽  
Ricardo Sanz
Keyword(s):  
Information Processing ◽  
Biological Systems ◽  
Control Action ◽  
Cognitive Economy ◽  
Interaction Dynamics ◽  
Actual Role ◽  
Physiological Processes ◽  
Novel Approach ◽  
Fundamental Phenomenon

Emotions are fundamentally embodied phenomena - but what exactly does this mean? And how is embodiment relevant for synthetic emotion? The specific role of embodied processes in the organisation of cognition and behaviour in biological systems is too complex to analyse without abstracting away the vast majority of variables. Robotic approaches have thus ignored physiological processes. At most, they hypothesise that homeostatic processes play a role in the cognitive economy of the agent – “gut feeling” is the embodied phenomenon to be modelled. Physiological processes play an actual role in the control of behaviour and interaction dynamics beyond information-processing. In this chapter, the authors introduce a novel approach to emotion synthesis based on the notion of morphofunctionality: the capacity to modulate the function of subsystems, changing the overall functionality of the system. Morphofunctionality provides robots with the capacity to control action readiness, and this in turn is a fundamental phenomenon for the emergence of emotion.

PSYCHOPHYSICS OF STOCHASTIC RESONANCE

2004 ◽  
Vol 04 (01) ◽  
pp. L11-L21 ◽  
Author(s):  
LAWRENCE M. WARD
Keyword(s):  
Information Processing ◽  
Signal Detection ◽  
Stochastic Resonance ◽  
Information Transfer ◽  
Signal Detection Theory ◽  
Biological Systems ◽  
Detection Theory ◽  
Human Beings ◽  
Soft Threshold

Although stochastic resonance has been demonstrated for many physical and biological systems, in both dynamic and threshold forms, its study in whole human beings presents special problems. Psychophysics provides theoretical and methodological tools for measuring information processing by humans, but modern psychophysics seems to be incompatible with some of the concepts of current theories of stochastic resonance. In this paper I review some of these problems, providing suggestions for solutions where none have as yet appeared. In particular, I discuss incompatibilities between signal detection theory and threshold stochastic resonance, and the problem of the effect of noise on information transfer across a "soft" threshold.

Stochastic information processing in biological systems

Biosystems ◽  
1982 ◽  
Vol 15 (2) ◽  
pp. 155-168 ◽  
Author(s):  
Harold M. Hastings ◽  
Richard Pekelney
Keyword(s):  
Information Processing ◽  
Biological Systems

Music Perception and Sensory Information Acquisition: Relationships and Low-Level Analogies

1991 ◽  
Vol 8 (3) ◽  
pp. 217-239 ◽  
Author(s):  
Ernst Terhardt
Keyword(s):  
Information Processing ◽  
Visual System ◽  
Information Acquisition ◽  
Music Perception ◽  
Biological Systems ◽  
Sensory Information ◽  
Distributed Knowledge ◽  
Musical Sound ◽  
Hierarchical Processing ◽  
Low Level

Information processing is characterized by conditional decisions on hierarchically organized levels. In biological systems, this principle is manifest in the phenomena of contourization and categorization, which are more or less synonymous. Primary contourization—such as in the visual system—is regarded as the first step of abstraction. Its auditory equivalent is formation of spectral pitches. Hierarchical processing is characterized by the principles of immediate processing, open end, recursion, distributed knowledge, forward processing, autonomy, and viewback. In that concept, perceptual phenomena such as illusion, ambiguity, and similarity turn out to be essential and typical. With respect to perception of musical sound, those principles and phenomena readily explain pitch categorization, tone affinity, octave equivalence (chroma), root, and tonality. As a particular example, an explanation of the tritone paradox is suggested.

The Exergy Cost of Information Processing: A Comparison of Computer-Based Technologies and Biological Systems

2005 ◽  
Vol 128 (4) ◽  
pp. 346-352 ◽  
Author(s):  
V. P. Carey ◽  
A. J. Shah
Keyword(s):  
Energy Efficiency ◽  
Information Processing ◽  
Information Technologies ◽  
Biological Systems ◽  
Biological Information ◽  
Processing Capacity ◽  
Input Rate ◽  
Large Power ◽  
Processing Information ◽  
Computer Based

Processing information (analysis, storing, retrieving, sharing) is the primary function of modern computer-based information systems. Systems of this type generally require an input flow of exergy (available energy) to function. Information processing systems now are evolving in two directions. One direction is toward bigger and more sophisticated systems. The other is toward systems that are more compact and portable. In both cases, the energy efficiency is becoming an increasingly important design issue. This paper summarizes an exploration of the exergy cost of processing information at the component and system levels in state-of-the-art information processing systems. The energy efficiency characteristics of computer-based information technologies are also compared to estimates of the energy efficiency of biological information processing in brains of mammals. Energy efficiencies of processors and systems are quantified in terms of the ratio of processing capacity to the exergy input rate. Available data suggest that for recent generations of processors, the ratio of processing capacity to exergy input rate has been increasing proportional to the square root of processor speed. Despite this increase, the energy efficiency of computer-based systems is currently substantially below the estimated efficiency of biological systems. Unless processor energy efficiencies are greatly increased, the development of information processing systems that match human brain performance will be hindered by the need for large power supplies and high-capacity heat rejection systems.

scholarly journals MODELLING AND ANALYSING THE INFORMATION PROCESSING CAPABILITIES OF SIMPLE BIOLOGICAL SYSTEMS

2012 ◽  
Vol 17 (4) ◽  
pp. 467-484 ◽  
Author(s):  
Miha Moskon ◽  
Miha Mraz
Keyword(s):  
Information Processing ◽  
Biological Systems ◽  
Basic Logic ◽  
And Performance

Biological systems that present basic logic primitives for information processing have already been realized. Models for simulating their dynamics have also been implemented. However there is a lack of metrics that would objectively evaluate the information processing capabilities of these primitives and possibilities of their interconnectivity. With the introduction of such processing and performance descriptive quantities complex biological systems capable of information processing could be built more straightforwardly. That would bring us closer to the realization of a biological computer.

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