Search Results for author: Ralph Etienne-Cummings

Found 9 papers, 1 papers with code

HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs

no code implementations12 Mar 2024 Akwasi Akwaboah, Ralph Etienne-Cummings

The promise of increasing channel counts in high density ($> 10^4$) neural Microelectrode Arrays (MEAs) for high resolution recording comes with the curse of developing faster characterization strategies for concurrent acquisition of multichannel electrode integrities over a wide frequency spectrum.

Pix2HDR -- A pixel-wise acquisition and deep learning-based synthesis approach for high-speed HDR videos

no code implementations24 Oct 2023 Caixin Wang, Jie Zhang, Matthew A. Wilson, Ralph Etienne-Cummings

By combining the versatility of pixel-wise sampling patterns with the strength of deep neural networks at decoding complex scenes, our method greatly enhances the vision system's adaptability and performance in dynamic conditions.

Neuromorphic Place Cells

no code implementations16 Oct 2023 Zhaoqi Chen, Ralph Etienne-Cummings

We demonstrate a mixed-mode implementation for spatial encoding neurons including theta cells, vector cells, and place cells.

A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation

no code implementations27 Feb 2020 Jamal Lottier Molin, Chetan Singh Thakur, Ralph Etienne-Cummings, Ernst Niebur

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 tasks (e. g. object detection, tracking, and classification).

Computational Efficiency object-detection +1

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain

no code implementations23 May 2018 Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings

Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems.

Bioinspired Visual Motion Estimation

1 code implementation31 Oct 2015 Garrick Orchard, Ralph Etienne-Cummings

Visual motion estimation is a computationally intensive, but important task for sighted animals.

Motion Estimation

HFirst: A Temporal Approach to Object Recognition

no code implementations5 Aug 2015 Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish Thakor, Ryad Benosman

The asynchronous nature of these systems frees computation and communication from the rigid predetermined timing enforced by system clocks in conventional systems.

Object Object Recognition

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