From Association To Rules: Connectionist Models Of Behavior And Cognition - Proceedings Of The Tenth Neural Computation And Psychology Workshop

High-Level Cognition: A Connectionist Approach to Modeling the Flexible Control of Routine Action Sequences (N Ruh); Associative and Connectionist Accounts of Biased Contingency Detection in Humans (S Musca et al.); Putting False Memories into Context (E Davelaar); Another Reason Why We Should Look After Our Children (J Bullinaria); Language: A Multimodal Model of Early Child Language Acquisition (A Nyamapfene); A Self-organizing Model of Word Learning: A First Step (J Mayor & K Plunkett); Self-organizing Word Representations for Reading-Time Prediction (S Frank); Grain-Size Effects in Reading: Insights from Connectionist Models of Normal and Impaired Reading (G Pagliuca & P Monaghan); Using Distributional Methods to Estimate the Systematicity Between Form and Meaning in British Sign Language (J Levy & N Thompson); Categorization and Visual Perception: Transient Attentional Enhancement During the Attentional Blink: ERP Correlates of the ST2 Model (S Chennu et al.); A Dual-System Model of Categorization in Infancy (G Westermann & D Mareschal); A Dual-Layer Model of High-Level Perception (J Han et al.); Sensory and Attentional Processing: Processing Symbolic Sequences Using Echo-State Networks (M Cernansky); Neural Models of Head-Direction Systems (P Zeidman & J Bullinaria); Recurrent Self-organization of Sensory Signals in the Auditory Domain (C Delbe); Reconstruction of Spatial and Chromatic Information from the Cone Mosaic (D Alleysson et al.); Associative Memory Models with Mammalian Cortical Features (W Chen et al.); Connectionist Hypothesis About an Ontogenetic Development of Conceptually Driven Cortical Anisotropy (M Mermillod et al.).