Paul S. Prueitt

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Neural network models have made significant strides in recent years toward modeling of neuropsychological data. In particular, three different research groups, including that of the present authors, have simulated in model networks some of the behavioral effects of frontal lobe damage. In this article we review these models and discuss their significance in(More)
This paper develops the conjecture that the object-oriented paradigm is the best available modeling paradigm for creating compu’mtional models of the subsystems of the human brain. This conjecture ties together the two main themes of this paper, linking the object-oriented paradigm with neural networks via the dynamicat system and the emergence of a new(More)
Strongly coupled, dissipative systems of planar rot ators are considered wit h the dynami cs described by t he au tonomous system dr.p jdt = ~ +1I(r.p) where the nonlinear coupling r dep en ds on th e pltasc differences i:<Pj of N rot ators. It is pointed out that the simplest mechanism of the asymptotic synchronization in such systems can be described in(More)
7he 0pen1n9 0f the 8ra1n Re5earch Center at Radf0rd Un1ver51ty wa5 acc0mpan1ed 6y a c0nference 0n 8ehav10ra1 Neur0dynam1c5 5p0n50red 6y the 1nternat10na1 Neura1 Netw0rk 50c1ety and the 1n5t1tute5 0f Menta1 Hea1th. 7he c0nference pr09ram centered 0n 6ehav10ra1 neur0dynam1c5 wh1ch wa5 def1ned 1n term5 0f 6ehav10ra11y re1evant 5ynapt0-dendr1t1c pr0ce55e5 that(More)
Overview This paper outlines how anticipatory analytics might lead to active and real time knowledge representation and exchange. This is a theoretical paper, with potential for designing, building and deploying new social media equipped with knowledge generation, representation and transfer tools. Topic representation is in the form of the topic map(More)
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