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A scalable multi-core architecture with heterogeneous memory structures
  for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

14 August 2017
S. Moradi
Ning Qiao
F. Stefanini
Giacomo Indiveri
ArXivPDFHTML

Papers citing "A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)"

16 / 16 papers shown
Title
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
Fernando M. Quintana
Maryada
Pedro L. Galindo
Elisa Donati
Giacomo Indiveri
Fernando Perez-Peña
21
0
0
23 Sep 2024
Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on
  a Digital Accelerator
Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator
Alejandro Linares-Barranco
Luciano Prono
R. Legenstein
Giacomo Indiveri
Charlotte Frenkel
11
1
0
21 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
27
1
0
04 Apr 2024
Neuromorphic Intermediate Representation: A Unified Instruction Set for
  Interoperable Brain-Inspired Computing
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens Egholm Pedersen
Steven Abreu
Matthias Jobst
Gregor Lenz
Vittorio Fra
...
Gianvito Urgese
Sadasivan Shankar
Terrence C. Stewart
Jason Eshraghian
Sadique Sheik
17
30
0
24 Nov 2023
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Md. Sakib Hasan
Catherine D. Schuman
Zhongyang Zhang
Tauhidur Rahman
Garrett S. Rose
13
0
0
15 Oct 2023
Sparse-firing regularization methods for spiking neural networks with
  time-to-first spike coding
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
Yusuke Sakemi
Kakei Yamamoto
T. Hosomi
Kazuyuki Aihara
27
7
0
24 Jul 2023
Gradient-descent hardware-aware training and deployment for mixed-signal
  Neuromorphic processors
Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
Uğurcan Cakal
Maryada
Chenxi Wu
I. Ulusoy
Dylan R. Muir
11
6
0
14 Mar 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
14
15
0
02 Dec 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
6
5
0
04 Oct 2022
Organic log-domain integrator synapse
Organic log-domain integrator synapse
Mohammad Javad Mirshojaeian Hosseini
Elisa Donati
Giacomo Indiveri
Robert A. Nawrocki
6
6
0
23 Mar 2022
POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with
  Integer Quadratic Integrate-and-Fire Neurons
POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons
Zuo-Wei Yeh
Chia-Hua Hsu
Alexander White
Chen-Fu Yeh
Wen-Chieh Wu
Cheng-Te Wang
C. Lo
K. Tang
8
10
0
19 Jan 2022
On the Role of System Software in Energy Management of Neuromorphic
  Computing
On the Role of System Software in Energy Management of Neuromorphic Computing
Twisha Titirsha
Shihao Song
Adarsha Balaji
Anup Das
17
24
0
22 Mar 2021
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial
  Decomposition
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition
Adarsha Balaji
Shihao Song
Anup Das
J. Krichmar
N. Dutt
J. Shackleford
Nagarajan Kandasamy
F. Catthoor
17
25
0
19 Sep 2020
Fast and energy-efficient neuromorphic deep learning with first-spike
  times
Fast and energy-efficient neuromorphic deep learning with first-spike times
Julian Goltz
Laura Kriener
A. Baumbach
Sebastian Billaudelle
O. Breitwieser
...
Á. F. Kungl
Walter Senn
Johannes Schemmel
K. Meier
Mihai A. Petrovici
6
124
0
24 Dec 2019
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in
  Wearable Devices
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices
F. Hadaeghi
9
9
0
22 Jul 2019
Memory and information processing in neuromorphic systems
Memory and information processing in neuromorphic systems
Giacomo Indiveri
Shih-Chii Liu
166
562
0
10 Jun 2015
1