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Automatic Nuclei Detection on Cytological Images Using the Firefly Optimization Algorithm
TLDR
The firefly algorithm is a powerful optimization method inspired by the flashing behavior of fireflies. Expand
  • 10
Uniform asymptotic stability of a fractional tuberculosis model
We propose a Caputo type fractional-order mathematical model for the transmission dynamics of tuberculosis (TB). Uniform asymptotic stability of the unique endemic equilibrium of the fractional-orderExpand
  • 19
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Learning joint representations for order and timing of perceptual-motor sequences: A dynamic neural field approach
TLDR
We propose and test a simple learning rule that detects a mismatch between the expected and realized timing of events and adapts the activation strengths in order to compensate for the movement time needed to achieve the desired effect. Expand
  • 3
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Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model
TLDR
We present a novel dynamic neural field model consisting of two coupled fields of Amari-type which supports the existence of localized activity patterns or “bumps” with a continuum of amplitudes. Expand
  • 2
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Towards temporal cognition for robots: A neurodynamics approach
TLDR
We show that the robot is able to efficiently adapt its motor timing and to store this information in memory using the temporal mismatch between the neural processing of the sensory feedback about executed actions. Expand
  • 1
Neural Field Model for Measuring and Reproducing Time Intervals
TLDR
The continuous real-time motor interaction with our environment requires the capacity to measure and produce time intervals in a highly flexible manner. Expand
  • 1
A neural integrator model for planning and value-based decision making of a robotics assistant
TLDR
A neural integrator is used to model the gradual accumulation of sensory and other evidence as time-varying persistent activity of neural populations to endow a robot with these cognitive functions. Expand