From the 1 of 11 linked papers with an AI index.
5 citations · 5 across the 4 of their papers we have counts for
11 papers
Small-World Communication Fabrics for Neuromorphic Multicore-SoCs
Sebastian Billaudelle, Christian Metzner, Jimmy Weber +7
As neuromorphic systems scale beyond a single core, inter-core event communication can become a dominant contributor to memory footprint, latency, and energy consumption. Biologica…
NORACL: Neurogenesis for Oracle-free Resource-Adaptive Continual Learning
Karthik Charan Raghunathan, Christian Metzner, Laura Kriener +1
The paper introduces NORACL, a continual‑learning method that dynamically expands a neural network when representational or plasticity saturation is detected, eliminating the need…
mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling
Tristan Torchet, Christian Metzner, Karthik Charan Raghunathan +4
Multi-timescale sequence modeling relies on capturing both local fast dynamics and global slow context; yet, maintaining these capabilities under the strict memory constraints comm…
Real-time processing of analog signals on accelerated neuromorphic hardware
Yannik Stradmann, Johannes Schemmel, Mihai A. Petrovici +1
Sensory processing with neuromorphic systems is typically done by using either event-based sensors or translating input signals to spikes before presenting them to the neuromorphic…
Backpropagation through space, time, and the brain
Benjamin Ellenberger, Paul Haider, Jakob Jordan +5
How physical networks of neurons, bound by spatio-temporal locality constraints, can perform efficient credit assignment, remains, to a large extent, an open question. In machine l…
Synchronization and semantization in deep spiking networks
Jonas Oberste-Frielinghaus, Anno C. Kurth, Julian Göltz +4
Recent studies have shown how spiking networks can learn complex functionality through error-correcting plasticity, but the resulting structures and dynamics remain poorly studied.…