Contents:

• On the Relationship Between CNNs and PDEs (M Gilli et al.)
• Moving Object Tracking on Panoramic Images (P Földesy et al.)
• Emergence of Global Patterns in Connected Neural Networks (T Shimizu)
• Configurable Multi-Layer CNN-UM Emulator on FPGA (Z Nagy & P Szolgay)
• A CNN Based System to Blind Sources Separation of MEG Signals (M Bucolo et al.)
• Time as Coding Space for Information Processing in the Cerebral Cortex (W Singer)
• Analyzing Multidimensional Neural Activity via CNN-UM (V Gál et al.)
• Visual Feedback by Using a CNN Chip Prototype System (P Arena et al.)
• Computational and Computer Complexity of Analogic Cellular Wave Computers (T Roska)
• Chaotic Phenomena in Quantum Cellular Neural Networks (L Fortuna & D Porto)
• Fingerprint Image Enhancement Using CNN Gabor-Type Filters (E Saatci & V Tavsanoglu)
• CNN Based Color Constancy Algorithm (L Török & Á Zarándy)
• Statistical Error Modeling of CNN-UM Architectures: The Grayscale Case (P Földesy)
• MEMS, Microsystems and Nanosystems (M E Zaghloul)
• Texture Segmentation by the 64x64 CNN Chip (T Szirányi)
• Teaching CNN and Learning by Using CNN (P Arena et al.)
• Novel Methods and Results in Training Universal Multi-Nested Neurons (R Dogaru et al.)
• Test-Bed Board for 16x64 Stereo Vision CNN Chip (M Salerno et al.)
• and other papers