O.J. Richter

Faculteit Science and Engineering

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o.j.richter rug.nl

ORCID Research Portal

Publicaties

Event-based vision for egomotion estimation using precise event timing

Greatorex, H., Mastella, M., Cotteret, M., Richter, O. & Chicca, E., 20-jan.-2025, (Submitted) arXiv, 14 blz.

Onderzoeksoutput: Voordruk ›

DYNAP-SE2: A scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor

Richter, O., Wu, C., Whatley, A. M., Köstinger, G., Nielsen, C., Qiao, N. & Indiveri, G., 31-jan.-2024, In: Neuromorphic computing and engineering. 4, 1, 44 blz., 014003.

Onderzoeksoutput › › peer review

Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline

Richter, O., Xing, Y., Marchi, M. D., Nielsen, C., Katsimpris, M., Cattaneo, R., Ren, Y., Hu, Y., Liu, Q., Sheik, S., Demirci, T. & Qiao, N., 27-mei-2024, (Submitted) arXiv, 11 blz.

Onderzoeksoutput: Voordruk ›

Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip

Yao, M., Richter, O., Zhao, G., Qiao, N., Xing, Y., Wang, D., Hu, T., Fang, W., Demirci, T., Marchi, M. D., Deng, L., Yan, T., Nielsen, C., Sheik, S., Wu, C., Tian, Y., Xu, B. & Li, G., 25-mei-2024, In: Nature Communications. 15, 18 blz., 4464.

Onderzoeksoutput › › peer review

Synaptic Circuits and Functions in Bio-inspired Integrated Architectures: Designing and advancing neurosynaptic physical-time systems a practical introduction and survey

Richter, O., 2024, [Groningen]: University of Groningen. 346 blz.

Onderzoeksoutput

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O.J. Richter

Publicaties

Event-based vision for egomotion estimation using precise event timing

DYNAP-SE2: A scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor

Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline

Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip

Synaptic Circuits and Functions in Bio-inspired Integrated Architectures: Designing and advancing neurosynaptic physical-time systems a practical introduction and survey

TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration

A Subthreshold Second-Order Integration Circuit for Versatile Synaptic Alpha Kernel and Trace Generation

Robust Spiking Attractor Networks with a Hard Winner-Take-All Neuron Circuit

Synaptic Normalisation for On-Chip Learning in Analog CMOS Spiking Neural Networks

Event-driven integrated circuit having interface system