Analog VLSI and neural systems
Analog VLSI and neural systems
Compact Integrated Motion Sensor With Three-Pixel Interaction
IEEE Transactions on Pattern Analysis and Machine Intelligence
A pulse-coded communications infrastructure for neuromorphic systems
Pulsed neural networks
A pulsed communication/computation framework for analog VLSI perceptive systems
Neuromorphic systems engineering
Computation of smooth optical flow in a feedback connected analog network
Proceedings of the 1998 conference on Advances in neural information processing systems II
An Analog VLSI System for Stereoscopic Vision
An Analog VLSI System for Stereoscopic Vision
IEEE Micro
Real-Time Analog VLSI Sensors for 2-D Direction of Motion
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Green Theorems and Qualitative Properties of the Optical Flow
Green Theorems and Qualitative Properties of the Optical Flow
A Modular Multi-Chip Neuromorphic Architecture for Real-Time Visual Motion Processing
Analog Integrated Circuits and Signal Processing
A Normalizing aVLSI Network with Controllable Winner-Take-All Properties
Analog Integrated Circuits and Signal Processing
Modeling Selective Attention Using a Neuromorphic Analog VLSI Device
Neural Computation
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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We present a multi-chip neuromorphic system in which an Address Event Representation is used for inter-chip communication. The system comprises an analog VLSI transient imager with adaptive photoreceptors, an analog VLSI motion receiver chip and a prototyping communication infrastructure which allows for programmability of connections between the elements on the two chips. We describe the properties of the two VLSI chips and of the communication infrastructure. To characterize the whole system, we present examples of connectivity tables which allow it to compute translational motion and expanding motion and show data from the transient detector array and motion receiver chips.