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Results 1 - 10
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7,484
Excitatory and inhibitory interactions in localized populations of model
- Biophysics
, 1972
"... ABSMAcr Coupled nonlinear differential equations are derived for the dynamics of spatially localized populations containing both excitatory and inhibitory model neurons. Phase plane methods and numerical solutions are then used to investigate population responses to various types of stimuli. The res ..."
Abstract
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Cited by 495 (11 self)
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ABSMAcr Coupled nonlinear differential equations are derived for the dynamics of spatially localized populations containing both excitatory and inhibitory model neurons. Phase plane methods and numerical solutions are then used to investigate population responses to various types of stimuli
The relative performance of Bayesian and parsimony approaches when Sampling Characters . . .
, 2006
"... We tested whether it is beneficial for the accuracy of phylogenetic inference to sample characters that are evolving under different sets of parameters, using both Bayesian MCMC (Markov chain Monte Carlo) and parsimony approaches. We examined differential rates of evolution among characters, differe ..."
Abstract
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Cited by 3 (0 self)
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, differential character-state frequencies and character-state space, and differential relative branch lengths among characters. We also compared the relative performance of parsimony and Bayesian analyses by progressively incorporating more of these heterogeneous parameters and progressively increasing
Flatness and defect of nonlinear systems: Introductory theory and examples
- International Journal of Control
, 1995
"... We introduce flat systems, which are equivalent to linear ones via a special type of feedback called endogenous. Their physical properties are subsumed by a linearizing output and they might be regarded as providing another nonlinear extension of Kalman’s controllability. The distance to flatness is ..."
Abstract
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Cited by 346 (23 self)
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is measured by a non-negative integer, the defect. We utilize differential algebra which suits well to the fact that, in accordance with Willems ’ standpoint, flatness and defect are best defined without distinguishing between input, state, output and other variables. Many realistic classes of examples
Relative and absolute strength of response as a function of frequency of reinforcement
- J. Experimental Analysis Behavior
, 1961
"... pigeons behave on a concurrent schedule under which they peck at either of two response-keys. The signifi-cant finding of this investigation was that the relative frequency of responding to each of the keys may be controlled within narrow limits by adjustments in an in-dependent variable. In brief, ..."
Abstract
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Cited by 226 (0 self)
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be considered a study of differential reinforcement; the present one, a study of strength of response. Both experiments are attempts to elucidate the properties of rdlative frequency of responding as a dependent vari-able.
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth
- Cognitive Science
"... We present statistical analyses of the large-scale structure of three types of semantic networks: word associations, WordNet, and Roget's thesaurus. We show that they have a small-world structure, characterized by sparse connectivity, short average path-lengths between words, and strong local ..."
Abstract
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Cited by 209 (2 self)
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reflect the mechanisms by which semantic networks grow. We describe a simple model for semantic growth, in which each new word or concept is connected to an existing network by differentiating the connectivity pattern of an existing node. This model generates appropriate small-world statistics
Anterior cingulate cortex and response conflict: Effects of frequency, inhibition, and errors
- Cerebral Cortex
, 2001
"... Anterior cingulate cortex (ACC) may play a key role in cognitive control by monitoring for the occurrence of response conflict (i.e., simultaneous activation of incompatible response tendencies). Low-frequency responding might provide a minimal condition for eliciting such conflict, as a result of t ..."
Abstract
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Cited by 164 (11 self)
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conditions manipulated the frequency of relevant task events. Consistent with our hypothesis, the same ACC region was equally responsive to low-frequency events across all three tasks, but did not show differential responding when events occurred with equal-frequency. Subregions of the ACC were also
Proper complex random processes with applications to information theory
- 152 tel-00906143, version 1 - 19 Nov 2013
, 1993
"... Abstract- The “covariance ” of complex random variables and processes, when defined consistently with the corresponding notion for real random variables, is shown to be determined by the usual (complex) covariance together with a quantity called the pseudo-covariance. A characterization of uncorrela ..."
Abstract
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Cited by 192 (0 self)
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assumes a natural form only for proper random variables. The maximum-entropy theorem is generalized to the complex-multivariate case. The differential entropy of a complex random vector with a fixed correlation matrix is shown to be maximum, if and only if the random vector is proper, Gaussian and zero
Behavioral theories and the neurophysiology of reward,
- Annu. Rev. Psychol.
, 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
Abstract
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Cited by 187 (0 self)
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reward mechanisms. The framework is based on the description of observable behavior and superficially resembles the behaviorist approach, although mental states 92 SCHULTZ of representation and prediction are essential. Dropping the issues of subjective feelings of pleasure will allow us to do objective
Centrality and Network Flow
"... Centrality measures, or at least our interpretations of these measures, make implicit assumptions about the manner in which things flow through a network. For example, some measures count only geodesic paths, apparently assuming that whatever flows through the network only moves along the shortest p ..."
Abstract
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Cited by 177 (4 self)
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to the kinds of flows they are appropriate for. Simulations are used to examine the relationship between type of flow and the differential importance of nodes with respect to key measurements such as speed of reception of traffic and frequency of receiving traffic. It is shown that the off-the-shelf formulas
Measurement and Correction of Systematic Odometry Errors in Mobile Robots
- IEEE Transactions on Robotics and Automation
, 1996
"... Odometry is the most widely used method for determining the momentary position of a mobile robot. In most practical applications odometry provides easily accessible real-time positioning information in-between periodic absolute position measurements. The frequency at which the (usually costly and/or ..."
Abstract
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Cited by 173 (6 self)
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Odometry is the most widely used method for determining the momentary position of a mobile robot. In most practical applications odometry provides easily accessible real-time positioning information in-between periodic absolute position measurements. The frequency at which the (usually costly and
Results 1 - 10
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7,484
