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The Heidelberg spiking datasets for the systematic evaluation of spiking
  neural networks

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

16 October 2019
Benjamin Cramer
Yannik Stradmann
Johannes Schemmel
Friedemann Zenke
ArXivPDFHTML

Papers citing "The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks"

41 / 41 papers shown
Title
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Spyridon Raptis
Haralampos-G. Stratigopoulos
AAML
28
0
0
07 May 2025
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective
Szymon Mazurek
Jakub Caputa
Jan K. Argasiñski
Maciej Wielgosz
26
0
0
06 Apr 2025
Fundamental Survey on Neuromorphic Based Audio Classification
Fundamental Survey on Neuromorphic Based Audio Classification
Amlan Basu
Pranav Chaudhari
Gaetano Di Caterina
AI4TS
35
0
0
20 Feb 2025
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks
Huifeng Yin
Hanle Zheng
Jiayi Mao
Siyuan Ding
Xing Liu
M. Xu
Yifan Hu
Jing Pei
Lei Deng
52
1
0
28 Jan 2025
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields
Peng Xue
Wei Fang
Zhengyu Ma
Zihan Huang
Zhaokun Zhou
Yonghong Tian
T. Masquelier
Huihui Zhou
64
0
0
24 Jan 2025
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
Jamie Lohoff
Anil Kaya
Florian Assmuth
Emre Neftci
42
0
0
20 Jan 2025
S7: Selective and Simplified State Space Layers for Sequence Modeling
S7: Selective and Simplified State Space Layers for Sequence Modeling
Taylan Soydan
Nikola Zubić
Nico Messikommer
Siddhartha Mishra
Davide Scaramuzza
49
4
0
04 Oct 2024
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Maximilian Baronig
Romain Ferrand
Silvester Sabathiel
Robert Legenstein
53
3
0
14 Aug 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking
  Neural Networks for Energy-Efficient Edge Computing
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
Biswadeep Chakraborty
Saibal Mukhopadhyay
38
2
0
08 Jul 2024
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum"
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum"
Mhd Anas Alsakkal
Runze Wang
Jayawan H. B. Wijekoon
Huajin Tang
46
1
0
24 May 2024
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking
  Neural Networks on FPGA
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA
Dario Padovano
Alessio Carpegna
Alessandro Savino
S. Di Carlo
42
1
0
04 Apr 2024
Forward Direct Feedback Alignment for Online Gradient Estimates of
  Spiking Neural Networks
Forward Direct Feedback Alignment for Online Gradient Estimates of Spiking Neural Networks
Florian Bacho
Dminique Chu
32
0
0
06 Feb 2024
Addressing the speed-accuracy simulation trade-off for adaptive spiking
  neurons
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Luke Taylor
Andrew J. King
N. Harper
32
6
0
19 Nov 2023
Spiking mode-based neural networks
Spiking mode-based neural networks
Zhanghan Lin
Haiping Huang
22
1
0
23 Oct 2023
Long Short-term Memory with Two-Compartment Spiking Neuron
Long Short-term Memory with Two-Compartment Spiking Neuron
Shimin Zhang
Qu Yang
Chenxiang Ma
Jibin Wu
Haizhou Li
Kay Chen Tan
35
7
0
14 Jul 2023
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik
Korneel Van den Berghe
Douwe den Blanken
Younes Bouhadjar
Maxime Fabre
...
Fatima Tuz Zohora
Charlotte Frenkel
Vijay Janapa Reddi
Charlotte Frenkel
Vijay Janapa Reddi
36
18
0
10 Apr 2023
Communication Trade-offs in Federated Learning of Spiking Neural
  Networks
Communication Trade-offs in Federated Learning of Spiking Neural Networks
Soumi Chaki
David Weinberg
Ayça Özçelikkale
FedML
32
1
0
27 Feb 2023
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient
  Unsupervised Learning: Theory and Design Principles
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Biswadeep Chakraborty
Saibal Mukhopadhyay
18
10
0
22 Feb 2023
Frameworks for SNNs: a Review of Data Science-oriented Software and an
  Expansion of SpykeTorch
Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch
D. L. Manna
Alex Vicente-Sola
Paul Kirkland
Trevor Bihl
G. D. Caterina
27
8
0
15 Feb 2023
Energy Efficient Training of SNN using Local Zeroth Order Method
Energy Efficient Training of SNN using Local Zeroth Order Method
B. Mukhoty
V. Bojkovic
William de Vazelhes
Giulia De Masi
Huan Xiong
Bin Gu
32
0
0
02 Feb 2023
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Thomas Nowotny
J. Turner
James C. Knight
30
15
0
02 Dec 2022
Impact of spiking neurons leakages and network recurrences on
  event-based spatio-temporal pattern recognition
Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition
Mohamed Sadek Bouanane
D. Cherifi
Elisabetta Chicca
Lyes Khacef
29
13
0
14 Nov 2022
Hardware/Software co-design with ADC-Less In-memory Computing Hardware
  for Spiking Neural Networks
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks
M. Apolinario
Adarsh Kosta
Utkarsh Saxena
Kaushik Roy
27
7
0
03 Nov 2022
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution
  and Attention for Spiking Neural Networks
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
Chengting Yu
Zheming Gu
Da Li
Gaoang Wang
Aili Wang
Erping Li
54
36
0
11 Oct 2022
In the realm of hybrid Brain: Human Brain and AI
In the realm of hybrid Brain: Human Brain and AI
Hoda Fares
Margherita Ronchini
M. Zamani
H. Farkhani
F. Moradi
33
5
0
04 Oct 2022
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network
  Processor Enabling On-Chip Learning over Second-Long Timescales
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales
Charlotte Frenkel
Giacomo Indiveri
24
95
0
20 Aug 2022
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern
  Recognition on Neuromorphic Hardware
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware
Simon F. Müller-Cleve
Vittorio Fra
Lyes Khacef
Alejandro Pequeño-Zurro
Daniel Klepatsch
...
D. G. Ivanovich
Shavika Rastogi
Gianvito Urgese
Friedemann Zenke
Chiara Bartolozzi
27
38
0
30 May 2022
EXODUS: Stable and Efficient Training of Spiking Neural Networks
EXODUS: Stable and Efficient Training of Spiking Neural Networks
F. Bauer
Gregor Lenz
Saeid Haghighatshoar
Sadique Sheik
BDL
36
15
0
20 May 2022
Evaluation of Neuromorphic Spike Encoding of Sound Using Information
  Theory
Evaluation of Neuromorphic Spike Encoding of Sound Using Information Theory
Ahmad El Ferdaoussi
É. Plourde
Jean Rouat
19
1
0
19 Feb 2022
Hardware calibrated learning to compensate heterogeneity in analog
  RRAM-based Spiking Neural Networks
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks
Filippo Moro
E. Esmanhotto
T. Hirtzlin
N. Castellani
A. Trabelsi
...
S. Brivio
S. Spiga
Giacomo Indiveri
Melika Payvand
Elisa Vianello
14
9
0
10 Feb 2022
The fine line between dead neurons and sparsity in binarized spiking
  neural networks
The fine line between dead neurons and sparsity in binarized spiking neural networks
Jason K. Eshraghian
Wei D. Lu
46
19
0
28 Jan 2022
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
Christian Pehle
Sebastian Billaudelle
Benjamin Cramer
Jakob Kaiser
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Aron Leibfried
Eric Müller
Johannes Schemmel
24
129
0
26 Jan 2022
Deep Reinforcement Learning with Spiking Q-learning
Deep Reinforcement Learning with Spiking Q-learning
Ding Chen
Peixi Peng
Tiejun Huang
Yonghong Tian
27
20
0
21 Jan 2022
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for
  Sequential Learning
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
Wachirawit Ponghiran
Kaushik Roy
32
49
0
04 Sep 2021
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
Haowen Fang
Brady Taylor
Ziru Li
Zaidao Mei
Hai Helen Li
Qinru Qiu
38
10
0
21 Apr 2021
Accurate and efficient time-domain classification with adaptive spiking
  recurrent neural networks
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Bojian Yin
Federico Corradi
S. Bohté
50
209
0
12 Mar 2021
Surrogate gradients for analog neuromorphic computing
Surrogate gradients for analog neuromorphic computing
Benjamin Cramer
Sebastian Billaudelle
Simeon Kanya
Aron Leibfried
Andreas Grubl
...
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Johannes Schemmel
Friedemann Zenke
24
107
0
12 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking
  Recurrent Neural Networks
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks
Bojian Yin
Federico Corradi
Sander M. Bohté
20
99
0
24 May 2020
Verification and Design Methods for the BrainScaleS Neuromorphic
  Hardware System
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
Andreas Grübl
Sebastian Billaudelle
Benjamin Cramer
V. Karasenko
Johannes Schemmel
24
33
0
25 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
121
481
0
26 Mar 2018
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
135
258
0
16 Dec 2016
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