1. A Batch-Language, Vector-Based Neural Network Simulator Motivation: - general computer languages (e.g. C) lead to complex code - neural network simulators are inflexible (e.g. SNNS)‏ Idea: - computation and learning in cortical areas are stereotypical - do everything by combining vector and matrix operations Solution: a simulator which is available at http://senselab.med.yale.edu/modeldb/showmodel.asp?model=83528

2. Information Flow

3. Shell Commands

4. GUI “activations” weights a neuron’s receptive field the network activity vector t 2 t 3...

6. Language File: Network Setup

7. Language File: Algorithm