Doboli, Simona - Department of Computer Science, Hofstra University

E-print Network

FAQ • HELP • SITE MAP • CONTACT US

Powered by Explorit

Advanced Search

Doboli, Simona - Department of Computer Science, Hofstra University

LATENT ATTRACTORS: A GENERAL PARADIGM FOR CONTEXT-DEPENDENT
Neurocomputing 38}40 (2001) 1185}1191 An attractor model for hippocampal place cell hysteresis
Session T1A 1-4244-1084-3/07/$25.00 2007 IEEE October 10 13, 2007, Milwaukee, WI
Communication Subsystem Synthesis and Analysis Tool using Bus Architecture Generation and
ARTICLE Communicated by Michael Hasselmo Latent Attractors: A Model for Context-Dependent Place
Applying Stochastic Modeling to Bus Arbitration for Network-on-Chip Systems
Compiled Code Simulation of Analog and Mixed-Signal Systems Using Piecewise Linear Modeling of Nonlinear Parameters
Using Latent Attractors to Discern Temporal Order Simona Doboli
Applying Stochastic Modeling to Bus Arbitration for Systems-on-Chip
INSTITUTE OF PHYSICS PUBLISHING NETWORK: COMPUTATION IN NEURAL SYSTEMS Network: Comput. Neural Syst. 14 (2003) 273302 PII: S0954-898X(03)59227-2
Dynamic Architecture Adaptation to Improve Scalability of Sensor Networks: A Case Study for a Smart Sensor for Face Recognition
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation
Piecewise-Linear Modeling of Analog Circuits using Trained Feed-Forward Neural Networks and Adaptive Clustering of Hidden Neurons
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks using Hidden Neuron Clustering