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  • signals
  • Proper interconnection of the cells on a layer can produce a neural network which is sensitive to predetermined patterns or the passage of such patterns across a sensor array whose signals are input into the network. (google.ca)
  • Mechanisms
  • As a means of generating and testing hypotheses about neural mechanisms, an important advantage of this approach over simulation is that the robot must physically interact with a real sound field, so the posed problems realistically represent those solved by the cricket. (springer.com)
  • Noise
  • We demonstrate that chimera behavior can be observed in nonlocally coupled networks of excitable systems in the presence of noise. (tu-berlin.de)
  • This phenomenon is distinct from classical chimeras, which occur in deterministic oscillatory systems, and it combines temporal features of coherence resonance, i.e., the constructive role of noise, and spatial properties of chimera states, i.e., the coexistence of spatially coherent and incoherent domains in a network of identical elements. (tu-berlin.de)
  • approaches
  • Although people started experimenting with neural networks in the 50's , it was not until the last years that a combination of a sheer volume of data to learn from, the use of GPU and massively parallel computing, and new learning approaches, made them practical to be applied to bigger challenges. (medium.com)
  • In this chapter, the basic elements of both approaches are analyzed while neuro-fuzzy networks learning algorithms are presented. (igi-global.com)
  • model
  • Jaringan syaraf tiruan (JST) atau Artificial Neural Network (ANN) adalah suatu model matematik atau komputasi untuk mensimulasikan struktur dan fungsi dari jaringan syaraf dalam otak. (scribd.com)
  • investigate
  • The aim is to investigate on the capability of simple feed - forward NNs which perform fast learning time (Fast Learning Neural Networks, FLNNs) to classify the protein secondary structure fro m the knowledge of the aminoacid sequence. (techylib.com)
  • Systems
  • To that end, researchers Hugues Berry and Olivier Temam of INRIA have released a new paper titled, " haracterizing Self-Developing Biological Neural Networks: A First Step Towards their Application To Computing Systems " (PDF format). (robots.net)
  • Artificial Neural networks are able to adapt and learn by adjusting the interconnections between layers while fuzzy logic inference systems provide a computing framework based on the concept of fuzzy set theory, fuzzy if-then rules, and fuzzy reasoning. (igi-global.com)
  • There's a close correspondence between the behavior of networks of computers or other devices like mobile phones and that of biological systems," Lynch says. (eurekalert.org)
  • to a specific, well-explored biological problem (what are the known characteristics and underlying systems for this behaviour? (springer.com)
  • Other possible systems where these behaviours might be found include biological tissues and arrays of physical oscillators. (tu-berlin.de)
  • This regime associated with the formation of locally coupled pulse trains bounded due to a balance of attraction and repulsion between them is different from the pulse bound states reported earlier in different laser, plasma, chemical, and biological systems. (tu-berlin.de)
  • different
  • It had previously been shown that somewhat different types of deep artificial neural networks can do this, but these required power-hungry computing hardware, such as graphics processing units ( 2 ). (pnas.org)
  • The layers in the network can be made sensitive to distinct sensory parameters, so that networks which are sensitive to different wavelengths or polarizations of light energy can be produced. (google.ca)
  • paper
  • Thus, in this paper, the FLNNs will be used as sub - networks of a more complex NN architecture with the aim to improve accuracy. (techylib.com)
  • algorithms
  • This study focuses on the power of visualization and efficiency of several training algorithms in order to minimize the typical network performance errors and enhance the network's efficiency. (igi-global.com)
  • Analysis
  • Decoding neural representational spaces using multivariate pattern analysis. (springer.com)
  • Biomedical Engineering (BME) is concerned with the application of engineering technology and scientific methods to the analysis of biological, physiological and health care problems. (boun.edu.tr)
  • layers
  • The network comprise one or more layers including interconnecting cells having individual states. (google.ca)
  • time
  • Then, it was clarified that the even - odd nonlinearity combined asymmetric networks, has the ability of generating directional vector in the stimulus change detection or movement detection, while symmetric networks need the time memory to have the same ability. (igi-global.com)