Toward a formal theory for computing machines made out of whatever physics offers
Approaching limitations of digital computing technologies have spurred research in
neuromorphic and other unconventional approaches to computing. Here we argue that if we …
neuromorphic and other unconventional approaches to computing. Here we argue that if we …
A review of learning in biologically plausible spiking neural networks
Artificial neural networks have been used as a powerful processing tool in various areas
such as pattern recognition, control, robotics, and bioinformatics. Their wide applicability has …
such as pattern recognition, control, robotics, and bioinformatics. Their wide applicability has …
On the nature and use of models in network neuroscience
Network theory provides an intuitively appealing framework for studying relationships
among interconnected brain mechanisms and their relevance to behaviour. As the space of …
among interconnected brain mechanisms and their relevance to behaviour. As the space of …
Training deep neural density estimators to identify mechanistic models of neural dynamics
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of
underlying causes. However, determining which model parameters agree with complex and …
underlying causes. However, determining which model parameters agree with complex and …
Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception
Mechanistic insight is achieved only when experiments are employed to test formal or
computational models. Furthermore, in analogy to lesion studies, phantom perception may …
computational models. Furthermore, in analogy to lesion studies, phantom perception may …
All-in-one metal-oxide heterojunction artificial synapses for visual sensory and neuromorphic computing systems
An all-in-one artificial synapse integrating central nervous and sensory nervous functions
utilizing low-dimensional metal-oxide heterojunction is demonstrated in this work. With an …
utilizing low-dimensional metal-oxide heterojunction is demonstrated in this work. With an …
Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective
XN Zuo, XX **_learning_and_understanding_of_spatio-temporal_brain_data/links/5fc2dc21299bf104cf8f92da/NeuCube-A-spiking-neural-network-architecture-for-map**-learning-and-understanding-of-spatio-temporal-brain-data.pdf" data-clk="hl=ro&sa=T&oi=gga&ct=gga&cd=7&d=2440250691497359706&ei=Gq_HZ4WYNIC96rQPkZbxiA0" data-clk-atid="WvmZLROD3SEJ" target="_blank">[PDF] researchgate.net
NeuCube: A spiking neural network architecture for map**, 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 …
[CARTE][B] Hardwiring happiness: The new brain science of contentment, calm, and confidence
R Hanson - 2013 - books.google.com
With New York Times bestselling author, Dr. Hanson's four steps, you can counterbalance
your brain's negativity bias and learn to hardwire happiness in only a few minutes each day …
your brain's negativity bias and learn to hardwire happiness in only a few minutes each day …
A ferrite synaptic transistor with topotactic transformation
Hardware implementation of artificial synaptic devices that emulate the functions of
biological synapses is inspired by the biological neuromorphic system and has drawn …
biological synapses is inspired by the biological neuromorphic system and has drawn …