# Memory via Temporal Delays in weightless Spiking Neural Network

arXiv: https://arxiv.org/abs/2202.07132 · HTML: https://mlsanity.com/paper/2202.07132/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 29 references that are in the map.
- First posted on arXiv 15 Feb 2022.

## Builds on (most cited first, 4 of 4)

- [BindsNET: A machine learning-oriented spiking neural networks library in Python](https://mlsanity.com/paper/1806.01423/) (2018)
- [Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP](https://mlsanity.com/paper/1904.01908/) (2019)
- [Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data](https://mlsanity.com/paper/1906.11826/) (2019)
- [You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy](https://mlsanity.com/paper/2006.09982/) (2020)

## Built on by (most cited first, 4 of 4)

- [Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings](https://mlsanity.com/paper/2306.17670/) (2023)
- [Exploiting heterogeneous delays for efficient computation in low-bit neural networks](https://mlsanity.com/paper/2510.27434/) (2025)
- [Unsupervised Particle Tracking with Neuromorphic Computing](https://mlsanity.com/paper/2502.06771/) (2025)
- [A Little Rank Goes a Long Way: Random Scaffolds with LoRA Adapters Are All You Need](https://mlsanity.com/paper/2604.08749/) (2026)

## Abstract (arXiv)

A common view in the neuroscience community is that memory is encoded in the connection strength between neurons. This perception led artificial neural network models to focus on connection weights as the key variables to modulate learning. In this paper, we present a prototype for weightless spiking neural networks that can perform a simple classification task. The memory in this network is stored in the timing between neurons, rather than the strength of the connection, and is trained using a Hebbian Spike Timing Dependent Plasticity (STDP), which modulates the delays of the connection.