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From the 1 of 11 linked papers with an AI index.

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20242026
most citedBackpropagation through space, time, and the brain

5 citations · 5 across the 4 of their papers we have counts for

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11 papers

cs.ET2026

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…

cs.LG2026

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…

cs.LG2026

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…

cs.NE2026

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…

q-bio.NC20265 cited

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…

q-bio.NC2025

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.…