NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
NK Kasabov - Neural Networks, 2014 - Elsevier
The brain functions as a spatio-temporal information processing machine. Spatio-and
spectro-temporal brain data (STBD) are the most commonly collected data for measuring …
spectro-temporal brain data (STBD) are the most commonly collected data for measuring …
Spiking neural networks
S Ghosh-Dastidar, H Adeli - International journal of neural systems, 2009 - World Scientific
Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …
dynamics. They have been used as powerful computational tools to solve complex pattern …
Spiking transformers for event-based single object tracking
Event-based cameras bring a unique capability to tracking, being able to function in
challenging real-world conditions as a direct result of their high temporal resolution and high …
challenging real-world conditions as a direct result of their high temporal resolution and high …
Slayer: Spike layer error reassignment in time
SB Shrestha, G Orchard - Advances in neural information …, 2018 - proceedings.neurips.cc
Abstract Configuring deep Spiking Neural Networks (SNNs) is an exciting research avenue
for low power spike event based computation. However, the spike generation function is non …
for low power spike event based computation. However, the spike generation function is non …
[图书][B] Neuronal dynamics: From single neurons to networks and models of cognition
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing
Hand gestures are a form of non-verbal communication used by individuals in conjunction
with speech to communicate. Nowadays, with the increasing use of technology, hand …
with speech to communicate. Nowadays, with the increasing use of technology, hand …
The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks
Neural activity is often described in terms of population-level factors extracted from the
responses of many neurons. Factors provide a lower-dimensional description with the aim of …
responses of many neurons. Factors provide a lower-dimensional description with the aim of …
Macroscopic description for networks of spiking neurons
A major goal of neuroscience, statistical physics, and nonlinear dynamics is to understand
how brain function arises from the collective dynamics of networks of spiking neurons. This …
how brain function arises from the collective dynamics of networks of spiking neurons. This …
Networks of spiking neurons: the third generation of neural network models
W Maass - Neural networks, 1997 - Elsevier
The computational power of formal models for networks of spiking neurons is compared with
that of other neural network models based on McCulloch Pitts neurons (ie, threshold gates) …
that of other neural network models based on McCulloch Pitts neurons (ie, threshold gates) …
[图书][B] Spiking neuron models: Single neurons, populations, plasticity
W Gerstner, WM Kistler - 2002 - books.google.com
Neurons in the brain communicate by short electrical pulses, the so-called action potentials
or spikes. How can we understand the process of spike generation? How can we …
or spikes. How can we understand the process of spike generation? How can we …