„Feature Model“

Suchergebnisse

3.502 Treffer

• A genomic analysis of mouse models of breast cancer reveals molecular features ofmouse models and relationships to human breast cancer
  Hollern, Daniel P. ; Andrechek, Eran R.
• Biological features and xenograft models of a very early human premalignant breast lesion
  Lee, S. ; Wu, Y. ; Mohsin, SK ; Medina, D. ; Allred, DC
• Morphological features of microglial cells in the hippocampal dentate gyrus of Gunn rat: a possible schizophrenia animal model
  Liaury, Kristian ; Miyaoka, Tsuyoshi ; Tsumori, Toshiko ; Furuya, Motohide ; Wake, Rei ; Ieda, Masa ; Tsuchie, Keiko ; Taki, Michiyo ; Ishihara, Kotomi ; Tanra, Andi Jayalangkara ; Horiguchi, Jun
• Bursting neurons in the hippocampal formation convey information about LFP features
  Constantinou, Maria ; Elijah, Daniel H. ; Squirrell, Daniel ; Samengo, Ines ; Gigg, John ; Montemurro, Marcelo A.
• Microsaccades enable efficient synchrony-based visual feature learning and detection
  Masquelier, Timothée ; Portelli, Geoffrey ; Kornprobst, Pierre
• Modelling local field potential features during network gamma oscillations
  Tomsett, Richard J. ; Ainsworth, Matt ; Thiele, Alexander ; Sanayei, Mehdi ; Chen, Xing ; Gieselmann, Alwin ; Whittington, Miles A. ; Cunningham, Mark O. ; Kaiser, Marcus
• Auditory object feature maps with a hierarchical network of independent components?
  Rouat, Jean ; Brodeur, Simon ; Plourde, Eric
• Structural features beneath neuronal avalanches
  Maia, Leonardo P. ; Mosqueiro, Thiago S.
• Dynamical features of stimulus integration by interacting cortical columns
  Cao, Robin ; Braun, Jochen ; Mattia, Maurizio
• Dynamic feature selectivity in the thalamus of the rat whisker system
  Shephard, Clarissa J. ; Millard, Daniel C. ; Stanley, Garrett B.
• Features of chaotic activity in a balanced network of Type II neuronal oscillators
  Touzel, Maximilian Puelma ; Monteforte, Michael ; Wolf, Fred
• Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition
  Alemi-Neissi, Alireza ; Baldassi, Carlo ; Braunstein, Alfredo ; Pagnani, Andrea ; Zecchina, Riccardo ; Zoccolan, Davide
• GPU facilitated unsupervised visual feature acquisition
  Lemoine, Blake ; Maida, Anthony
• Tracking sub-syllabic features in zebra finch song during development
  Woodford, Meagan E. ; Benavides, Matthew M. ; Troyer, Todd W.
• A dynamical neural simulation mapping feature-based attention to location with non-linear cortical circuits
  Harrison, David G. ; de Kamps, Marc
• Binding features by relaying modulator group of neurons
  Kirt, Toomas ; Bachmann, Talis
• Interrelation between binocular disparity and other feature maps of V1 using Kohonen’s SOFM algorithm
  Siddiqui, M Sultan M. ; Garg, Mohit Kumar ; Bhaumik, Basabi
• Identification of neural feature space from spike triggered covariance expressed as a function of PRC
  Ota, Keisuke ; Omori, Toshiaki ; Watanabe, Shigeo ; Miyakawa, Hiroyoshi ; Okada, Masato ; Aonishi, Toru
• Learning complex cell units from simulated prenatal retinal waves with slow feature analysis
  Dähne, Sven ; Wilbert, Niko ; Wiskott, Laurenz
• Burst structure can code different stimulus features in thalamic neuron models
  Elijah, Daniel H. ; Montemurro, Marcelo A.