Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Michael A. Arbib"'
Autor:
Alberto Cobas, Michael A. Arbib
Publikováno v:
Journal of theoretical biology. 157(3)
The present model postulates the construction of motor actions through the interaction of different motor schemas via a process of competition and co-operation wherein there is no need for a unique schema to win the competition (although that might w
Publikováno v:
Journal of mathematical biology. 29(1)
Mathematical models and computer simulations have been widely used to study the spatio-temporal characteristics of the processing of information carried out by the central nervous system. When trying to show whether or not a neural model accounts for
Autor:
Renu Chipalkatti, Michael A. Arbib
Publikováno v:
Journal of Mathematical Biology. 26:235-262
In this paper, we offer a stability analysis of “the cue interaction model” of depth perception (House (1984)). Depth estimation using stereopsis suffers from the “matching problem”, the problem of correctly matching the retinal image of a fe
Autor:
Michael A. Arbib, Ernest G. Manes
Publikováno v:
SIAM Journal on Mathematical Analysis. 11:405-424
We define the Hankel matrix of an adjoint system. Adjoint systems include linear and bilinear systems, automata, and group systems in both the time-varying and time-invariant cases. Our definition of the Hankel matrix unifies the familiar $H_i^j = CA
Autor:
Michael A. Arbib, Ernest G. Manes
Publikováno v:
SIAM Review. 16:163-192
We present for the first time a general definition of machines in an arbitrary category which unifies the theories of sequential machines, linear control systems, tree automata and stochastic automata. To make the paper relatively accessible, we prov
Publikováno v:
Journal of Computer and System Sciences. 27(1):29-50
We model a process—the unit of concurrent processing—as a port automaton, a certain type of nondeterministic sequential machine. We show how to compute the response of these automata, and study the properties of their port interconnections. We ar
Publikováno v:
Journal of the Franklin Institute. 301:497-508
The paper discusses multilinear, and more generally multidecomposable, machines. An m-linear machine is shown to be realizable as a network of k-linear machines for k⩽(m-1), linked by certain memoryless m-linear maps. In this way, an m-linear machi
Autor:
Michael A. Arbib
Publikováno v:
Journal of Theoretical Biology. 14:131-156
In his recent book “Cybernetics and Development”, Michael Apter has persuasively shown that many problems of embryological development are ripe for cybernetic treatment. Recent results, based on von Neumann's theory of self-reproducing automata,
Autor:
Michael A. Arbib
Publikováno v:
Journal of Mathematical Analysis and Applications. 31(3):545-553
Grossberg's studies of learning in cross-coupled networks of outstar type all analyse convergence properties of the network by making a change of variables that yields a system of the form a X = A(Y − X) + B(θ − X) a Y = C(X − Y) , where A, B,
Autor:
Michael A. Arbib
Publikováno v:
Mathematical Biosciences. 11:95-107
A new perspective on three papers coauthored by Warren McCulloch emphasizes the paradigmatic role to be played in brain theory by action-oriented studies of distributed computation in somatotopically organized neural networks.