146 research outputs found
Coproducts and decomposable machines
The crucial discovery reported here is that the free monoid U* on the input set U does not yield a sufficiently rich set of inputs when algebraic structure is placed on the machine. For group machines, the appropriate structure is the coproduct U§ of an infinite sequence of copies of U. U§ reduces to a reasonable facsimile of U* in the Abelian case. A structure theorem for monoids of linear systems reveals the R monoid of Give'on and Zalcstein as appropriate only when no distinct powers of the statetransition matrix have the same action
Participation and Alienation in Large Democracies
With Cooper, W., Ecosystems
Recognizing Speech in a Novel Accent: The Motor Theory of Speech Perception Reframed
The motor theory of speech perception holds that we perceive the speech of
another in terms of a motor representation of that speech. However, when we
have learned to recognize a foreign accent, it seems plausible that recognition
of a word rarely involves reconstruction of the speech gestures of the speaker
rather than the listener. To better assess the motor theory and this
observation, we proceed in three stages. Part 1 places the motor theory of
speech perception in a larger framework based on our earlier models of the
adaptive formation of mirror neurons for grasping, and for viewing extensions
of that mirror system as part of a larger system for neuro-linguistic
processing, augmented by the present consideration of recognizing speech in a
novel accent. Part 2 then offers a novel computational model of how a listener
comes to understand the speech of someone speaking the listener's native
language with a foreign accent. The core tenet of the model is that the
listener uses hypotheses about the word the speaker is currently uttering to
update probabilities linking the sound produced by the speaker to phonemes in
the native language repertoire of the listener. This, on average, improves the
recognition of later words. This model is neutral regarding the nature of the
representations it uses (motor vs. auditory). It serve as a reference point for
the discussion in Part 3, which proposes a dual-stream neuro-linguistic
architecture to revisits claims for and against the motor theory of speech
perception and the relevance of mirror neurons, and extracts some implications
for the reframing of the motor theory
Atmosphere(s) for Architects: Between Phenomenology and Cognition
Interfaces 5 was born to home the dialogue that the neuroscientist Michael A. Arbib and the philosopher Tonino Griffero started at the end of 2021 about atmospheric experiences, striving to bridge the gap between cognitive scienceβs perspective and the (neo)phenomenological one. This conversation progressed due to Pato Paezβs offer to participate in the webinar βArchitectural Atmospheres: Phenomenology, Cognition, and Feeling,β a roundtable hosted by The Commission Project (TCP) within the Applied Neuroaesthetics initiative. The event ran online on May 20, 2022. Bob Condia moderated the panel discussion between Suchi Reddy, Michael A. Arbib, and Tonino Griffero. The RESONANCES project was responsible for developing the editing and publishing process. This volume collects nine essays: the main chapter is βA Dialogue on Affordances, Atmospheres, and Architectureβ by Michael A. Arbib and Tonino Griffero; there are four commentaries to this text by Federico De Matteis, Robert Lamb Hart, Mark Alan Hewitt, and Suchi Reddy; Michael A. Arbib and Tonino Griffero have independently responded to the commentaries, emphasizing the opportunities and challenges of their respective approaches: cog/neuroscience and atmospherology applied to architecture; Elisabetta Canepa offers βAn Essential Vocabulary of Atmospheric Architecture,β developing an atmospherological critique of the Marianna Kistler Beach Museum of Art on the Kansas State University campus to evaluate the accuracy, coherence, and adaptability of her lexicon. Bob Condia and Mikaela Wynne provide an introduction entitled βOn Becoming an Atmospherologist: A Praxis of Atmospheres.βhttps://newprairiepress.org/ebooks/1051/thumbnail.jp
On Multifractal Structure in Non-Representational Art
Multifractal analysis techniques are applied to patterns in several abstract
expressionist artworks, paintined by various artists. The analysis is carried
out on two distinct types of structures: the physical patterns formed by a
specific color (``blobs''), as well as patterns formed by the luminance
gradient between adjacent colors (``edges''). It is found that the analysis
method applied to ``blobs'' cannot distinguish between artists of the same
movement, yielding a multifractal spectrum of dimensions between about 1.5-1.8.
The method can distinguish between different types of images, however, as
demonstrated by studying a radically different type of art. The data suggests
that the ``edge'' method can distinguish between artists in the same movement,
and is proposed to represent a toy model of visual discrimination. A ``fractal
reconstruction'' analysis technique is also applied to the images, in order to
determine whether or not a specific signature can be extracted which might
serve as a type of fingerprint for the movement. However, these results are
vague and no direct conclusions may be drawn.Comment: 53 pp LaTeX, 10 figures (ps/eps
Atmosphere(s) for Architects: Between Phenomenology and Cognition
Interfaces 5 was born to home the dialogue that the neuroscientist Michael A. Arbib and the philosopher Tonino Griffero started at the end of 2021 about atmospheric experiences, striving to bridge the gap between cognitive scienceβs perspective and the (neo)phenomenological one. This conversation progressed due to Pato Paezβs offer to participate in the webinar βArchitectural Atmospheres: Phenomenology, Cognition, and Feeling,β a roundtable hosted by The Commission Project (TCP) within the Applied Neuroaesthetics initiative. The event ran online on May 20, 2022. Bob Condia moderated the panel discussion between Suchi Reddy, Michael A. Arbib, and Tonino Griffero. This volume collects nine essays: the target chapter is βA Dialogue on Affordances, Atmospheres, and Architectureβ by Michael A. Arbib and Tonino Griffero; there are four commentaries to this text by Federico De Matteis, Robert Lamb Hart, Mark Alan Hewitt, and Suchi Reddy; Michael A. Arbib and Tonino Griffero have independently responded to the commentaries, emphasizing the opportunities and challenges of their respective approaches: cog/neuroscience and atmospherology applied to architecture; Elisabetta Canepa offers βAn Essential Vocabulary of Atmospheric Architecture,β developing an atmospherological critique of the Marianna Kistler Beach Museum of Art on the Kansas State University campus in Manhattan to evaluate the accuracy, coherence, and adaptability of her lexicon. Bob Condia and Mikaela Wynne provide an introduction entitled βOn Becoming an Atmospherologist: A Praxis of Atmospheres.
A Second-Generation Device for Automated Training and Quantitative Behavior Analyses of Molecularly-Tractable Model Organisms
A deep understanding of cognitive processes requires functional, quantitative analyses of the steps leading from genetics and the development of nervous system structure to behavior. Molecularly-tractable model systems such as Xenopus laevis and planaria offer an unprecedented opportunity to dissect the mechanisms determining the complex structure of the brain and CNS. A standardized platform that facilitated quantitative analysis of behavior would make a significant impact on evolutionary ethology, neuropharmacology, and cognitive science. While some animal tracking systems exist, the available systems do not allow automated training (feedback to individual subjects in real time, which is necessary for operant conditioning assays). The lack of standardization in the field, and the numerous technical challenges that face the development of a versatile system with the necessary capabilities, comprise a significant barrier keeping molecular developmental biology labs from integrating behavior analysis endpoints into their pharmacological and genetic perturbations. Here we report the development of a second-generation system that is a highly flexible, powerful machine vision and environmental control platform. In order to enable multidisciplinary studies aimed at understanding the roles of genes in brain function and behavior, and aid other laboratories that do not have the facilities to undergo complex engineering development, we describe the device and the problems that it overcomes. We also present sample data using frog tadpoles and flatworms to illustrate its use. Having solved significant engineering challenges in its construction, the resulting design is a relatively inexpensive instrument of wide relevance for several fields, and will accelerate interdisciplinary discovery in pharmacology, neurobiology, regenerative medicine, and cognitive science
- β¦