1 | -- | 47 | Christopher DiMattina, Kechen Zhang. How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality |
48 | -- | 60 | Daniel K. Wójcik, Szymon Leski. Current Source Density Reconstruction from Incomplete Data |
61 | -- | 93 | Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin. Spiking Neuron Model for Temporal Sequence Recognition |
94 | -- | 120 | Lars Wolff, Benjamin Lindner. Mean, Variance, and Autocorrelation of Subthreshold Potential Fluctuations Driven by Filtered Conductance Shot Noise |
121 | -- | 157 | Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi. The Computational Structure of Spike Trains |
158 | -- | 189 | Seif Eldawlatly, Yang Zhou, Rong Jin, Karim G. Oweiss. On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles |
190 | -- | 243 | Elisa Magosso, Melissa Zavaglia, Andrea Serino, Giuseppe Di Pellegrino, Mauro Ursino. Visuotactile Representation of Peripersonal Space: A Neural Network Study |
244 | -- | 272 | Terry Elliott. Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity |
273 | -- | 288 | Florian Landis, Thomas Ott, Ruedi Stoop. Hebbian Self-Organizing Integrate-and-Fire Networks for Data Clustering |