Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Michael A. Arbib"'
Autor:
Brad Gasser, Michael A. Arbib
Publikováno v:
Adaptive Behavior. 25:195-213
We present a novel model, SCP1, of monkey sequence learning that takes the processes of stimulus recognition and motor planning seriously in addressing a robust dataset on list learning obtained through the Simultaneous Chaining Paradigm (SCP). Strik
Autor:
Jin Yong Lee, Michael A. Arbib
Publikováno v:
Brain Research. 1225:146-162
The present paper is part of a larger effort to locate the production and perception of language within the broader context of brain mechanisms for action and perception more generally. Here we model function in terms of the competition and cooperati
Publikováno v:
Neurocomputing. 70:2181-2193
We focus on how infants' discovery of a range of affordances and effectivities contributes to participating in a new activity. We emphasize how caregivers bracket ongoing actions with gestures that direct the infant's attention to perceptual informat
Publikováno v:
Neuroinformatics. 12(1)
We present principles for an integrated neuroinformatics framework which makes explicit how models are grounded on empirical evidence, explain (or not) existing empirical results and make testable predictions. The new ontological framework makes expl
Autor:
Michael A. Arbib, Toshio Uchiyama
Publikováno v:
Pattern Recognition. 27:1415-1421
Competitive learning is one of the algorithms for clustering based on the least sum of squares criterion. However, competitive learning has a problem of serious decline of learning ability from lack of competition when one unit monopolizes all input
Autor:
Michael A. Arbib, James Bonaiuto
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p P82 (2009)
Introduction We developed a model of arm-reaching that uses spiking neural model arranged in dynamic neural fields to encode sensory input and perform reach target selection. The output of the model was used to control a simulated threedimensional ar
Autor:
Jin Yong Lee, Michael A. Arbib
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540755548
BVAI
BVAI
The general setting for our work is to locate language perception and production within the broader context of brain mechanisms for action and perception in general, modeling brain function in terms of the competition and cooperation of schemas. Part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8ad358bae4202ba81a46ce9c57e1396
https://doi.org/10.1007/978-3-540-75555-5_11
https://doi.org/10.1007/978-3-540-75555-5_11
Autor:
Laurent Itti, Michael A. Arbib
We describe a computational framework that explores the interaction between focal visual attention, the recognition of objects and actions, and the related use of language. We introduce the notions of "minimal subscene" and “anchored subscene” to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::542cf5dd168f65e35ba3bce8da5f460f
https://doi.org/10.1017/cbo9780511541599.010
https://doi.org/10.1017/cbo9780511541599.010
Autor:
Michael A. Arbib, Mihail Bota
Publikováno v:
Neuroscience Databases ISBN: 9781461353843
The NeuroHomology Database (NHDB) is an online knowledge management system designed for handling, systematization and processing of the neurobiological information about brain structures, neuroanatomical connections and similarities between brain nuc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::713f17f950cc321d4f41deffd64e1335
https://doi.org/10.1007/978-1-4615-1079-6_14
https://doi.org/10.1007/978-1-4615-1079-6_14
Publisher Summary This chapter discusses the synthetic positron emission tomography (PET) paradigm, and provides examples of its function from models stored in the brain models of the web (BMW). Synthetic PET is a useful tool within the neuroinformat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::732f34bdf8450693419eb7c747c51441
https://doi.org/10.1016/b978-012059781-9/50007-9
https://doi.org/10.1016/b978-012059781-9/50007-9