320 citations · 397 across the 7 of their papers we have counts for
7 papers
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation
Jamal Lottier Molin, Chetan Singh Thakur, Ralph Etienne-Cummings +1
The ability to attend to salient regions of a visual scene is an innate and necessary preprocessing step for both biological and engineered systems performing high-level visual tas…
A closed-loop all-electronic pixel-wise adaptive imaging system for high dynamic range video
Jie, Zhang, Jonathan P. Newman +5
We demonstrated a CMOS imaging system that adapts each pixel's exposure and sampling rate to capture high dynamic range (HDR) videos. The system consist of a custom designed image…
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain
Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs +12
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuro…
Fast Neuromimetic Object Recognition using FPGA Outperforms GPU Implementations
Garrick Orchard, Jacob G. Martin, R. Jacob Vogelstein +1
Recognition of objects in still images has traditionally been regarded as a difficult computational problem. Although modern automated methods for visual object recognition have ac…
Bioinspired Visual Motion Estimation
Garrick Orchard, Ralph Etienne-Cummings
Visual motion estimation is a computationally intensive, but important task for sighted animals. Replicating the robustness and efficiency of biological visual motion estimation in…
HFirst: A Temporal Approach to Object Recognition
Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings +3
This paper introduces a spiking hierarchical model for object recognition which utilizes the precise timing information inherently present in the output of biologically inspired as…
A First-Order Non-Homogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals
J. Tapson, C. Jin, A. van Schaik +1
We present a first-order non-homogeneous Markov model for the interspike-interval density of a continuously stimulated spiking neuron. The model allows the conditional interspike-i…