126 citations · 288 across the 12 of their papers we have counts for
12 papers
A Resource-Efficient CNN-Based EEG Auditory Attention Decoding ASIC
Qier Ma, Richard George, Stefan Scholze +3
Following a target speaker in a noisy environment, commonly known as the cocktail party problem, remains particularly challenging for cochlear implant (CI) users. Recent studies ha…
The SpiNNaker2 chip: a many-core platform for flexible and scalable brain-inspired computing
Stefan Scholze, Johannes Partzsch, Sebastian Höppner +27
In deep learning, efficiency gets more and more important to compensate for the ongoing growth in model sizes and applications. Neuromorphic hardware has long been advocated as an…
68-Channel Highly-Integrated Neural Signal Processing PSoC with On-Chip Feature Extraction, Compression, and Hardware Accelerators for Neuroprosthetics in 22nm FDSOI
Liyuan Guo, Annika Weiße, Seyed Mohammad Ali Zeinolabedin +13
Multi-channel electrophysiology systems for recording of neuronal activity face significant data throughput limitations, hampering real-time, data-informed experiments. These limit…
A RISC-V MCU with adaptive reverse body bias and ultra-low-power retention mode in 22 nm FD-SOI
Heiner Bauer, Marco Stolba, Stefan Scholze +7
We present a low-power, energy efficient 32-bit RISC-V microprocessor unit (MCU) in 22 nm FD-SOI. It achieves ultra-low leakage,even at high temperatures, by using an adaptive reve…
The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing
Sebastian Höppner, Yexin Yan, Andreas Dixius +15
This paper introduces the processing element architecture of the second generation SpiNNaker chip, implemented in 22nm FDSOI. On circuit level, the chip features adaptive body bias…
Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System
Johannes Partzsch, Christian Mayr, Massimiliano Giulioni +6
Real-time coupling of cell cultures to neuromorphic circuits necessitates a neuromorphic network that replicates biological behaviour both on a per-neuron and on a population basis…