Neural networks: An overview of early research, current frameworks and new challenges
This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …
of neural networks, taking into account that two aims have emerged in this area: the …
Neuromorphic silicon neuron circuits
Hardware implementations of spiking neurons can be extremely useful for a large variety of
applications, ranging from high-speed modeling of large-scale neural systems to real-time …
applications, ranging from high-speed modeling of large-scale neural systems to real-time …
Retinomorphic event-based vision sensors: bioinspired cameras with spiking output
State-of-the-art image sensors suffer from significant limitations imposed by their very
principle of operation. These sensors acquire the visual information as a series of “snapshot” …
principle of operation. These sensors acquire the visual information as a series of “snapshot” …
A 4096-neuron 1M-synapse 3.8-pJ/SOP spiking neural network with on-chip STDP learning and sparse weights in 10-nm FinFET CMOS
A reconfigurable 4096-neuron, 1M-synapse chip in 10-nm FinFET CMOS is developed to
accelerate inference and learning for many classes of spiking neural networks (SNNs). The …
accelerate inference and learning for many classes of spiking neural networks (SNNs). The …
[LIBRO][B] Neuromorphic photonics
PR Prucnal, BJ Shastri - 2017 - taylorfrancis.com
This book sets out to build bridges between the domains of photonic device physics and
neural networks, providing a comprehensive overview of the emerging field of" …
neural networks, providing a comprehensive overview of the emerging field of" …
On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex
C Zamarreño-Ramos, LA Camuñas-Mesa… - Frontiers in …, 2011 - frontiersin.org
In this paper we present a very exciting overlap between emergent nanotechnology and
neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are …
neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are …
A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
We present a mixed-mode analog/digital VLSI device comprising an array of leaky integrate-
and-fire (I&F) neurons, adaptive synapses with spike-timing dependent plasticity, and an …
and-fire (I&F) neurons, adaptive synapses with spike-timing dependent plasticity, and an …
Sodformer: Streaming object detection with transformer using events and frames
DAVIS camera, streaming two complementary sensing modalities of asynchronous events
and frames, has gradually been used to address major object detection challenges (eg, fast …
and frames, has gradually been used to address major object detection challenges (eg, fast …
A mini review of neuromorphic architectures and implementations
Neuromorphic architectures are hardware systems that aim to use the principles of neural
function for their basis of operation. Their goal is to harness biologically inspired concepts …
function for their basis of operation. Their goal is to harness biologically inspired concepts …
Point-to-point connectivity between neuromorphic chips using address events
KA Boahen - IEEE Transactions on Circuits and Systems II …, 2000 - ieeexplore.ieee.org
This paper discusses connectivity between neuromorphic chips, which use the timing of
fixed-height fixed-width pulses to encode information. Address-events (log/sub 2/(N)-bit …
fixed-height fixed-width pulses to encode information. Address-events (log/sub 2/(N)-bit …