Pattern Recognition and Machine Intelligence: 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part II

s of Invited Talks Granular Artificial Intelligence: A New Avenue of Artificial Intelligence for Modeling Environment and Pattern Recognition

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[8]  Dinggang Shen,et al.  Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics , 2014, MICCAI.

[9]  Gustavo Deco,et al.  Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model , 2019, NeuroImage.

[10]  Ehren L. Newman,et al.  DC-shifts in amplitude in-field generated by an oscillatory interference model of grid cell firing , 2014, Front. Syst. Neurosci..

[11]  Christof Koch,et al.  Detecting and Estimating Signals in Noisy Cable Structures, I: Neuronal Noise Sources , 1999, Neural Computation.

[12]  A. K. Singh,et al.  Microwave Synthesis, Characterization, and Photoluminescence Properties of Nanocrystalline Zirconia , 2014, TheScientificWorldJournal.

[13]  Kaustubh Supekar,et al.  Temporal Dynamics and Developmental Maturation of Salience, Default and Central-Executive Network Interactions Revealed by Variational Bayes Hidden Markov Modeling , 2016, PLoS Comput. Biol..

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[17]  Lisa M. Giocomo,et al.  Grid cell firing may arise from interference of theta frequency membrane potential oscillations in single neurons , 2007, Hippocampus.

[18]  Wuyin Jin,et al.  Transmission of blocked electric pulses in a cable neuron model by using an electric field , 2016, Neurocomputing.

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[22]  Ujjwal Maulik,et al.  Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype Specific Genes , 2019, PReMI.

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[24]  H. Agmon-Snir,et al.  A novel theoretical approach to the analysis of dendritic transients. , 1995, Biophysical journal.

[25]  Christof Koch,et al.  Ephaptic coupling of cortical neurons , 2011, Nature Neuroscience.

[26]  Wulfram Gerstner,et al.  SPIKING NEURON MODELS Single Neurons , Populations , Plasticity , 2002 .

[27]  Alex Martin,et al.  Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards , 2014, NeuroImage: Clinical.