A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation
[article]
2022
arXiv
pre-print
Preserved Fulltext
Spiking neural networks (SNNs) have attracted extensive attentions in Brain-inspired Artificial Intelligence and computational neuroscience. ...
spiking neural network based AI, and to simulate the cognitive brains at multiple scales. ...
Some details are introduced as follows: 1) Visual Emotion Recognition: For emotion recognition, inspired by the ventral visual pathway, we construct a deep convolutional spiking neural network with LIF ...
arXiv:2207.08533v1
fatcat:pb2ah43qlra7zmvhr4no27ovcu
Progress and Challenges of Neuroscience and Brain-inspired Artificial Intelligence
2020
Neuroscience International
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
graph, brain networks, the connectome, brain reconstruction, imaging technologies used for the brain, chips and devices inspired by the human brain, brain-computer interface or brain-machine interfaces ...
, cyborg, neuro-robotics, and quantum robotics. ...
Acknowledgement The authors would like to thank Technology and Healthcare Solutions, Mississippi, USA and the Institute for IT innovation and Smart Health, Mississippi, USA for support. ...
doi:10.3844/amjnsp.2020.1.9
fatcat:apbgz22m6ffwzehijvq662pvwe
Progress and Challenges of Neuroscience and Brain-inspired Artificial Intelligence
2019
Neuroscience International
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
graph, brain networks, the connectome, brain reconstruction, imaging technologies used for the brain, chips and devices inspired by the human brain, brain-computer interface or brain-machine interfaces ...
, cyborg, neuro-robotics, and quantum robotics. ...
Acknowledgement The authors would like to thank Technology and Healthcare Solutions, Mississippi, USA and the Institute for IT innovation and Smart Health, Mississippi, USA for support. ...
doi:10.3844/amjnsp.2019.13.21
fatcat:dtoa5moa2bhwdbiaxe6belwlf4
Analysis and Modelling of Strong-AI to Engineer BIONIC Brain for Humanoid Robotics Application
2013
American Journal of Embedded Systems and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Networks, Neural Schema's for strong -AI,Genetic algorithms, Advanced logic engineering for pattern /object recognit translation (Natural Language Processing), readings, facial expression, love and desire ...
Networks, Neural algorithms, Advanced logic engineering for pattern /object recognition and Natural Language Processing), readings, facial expression, love and desire and human like response smart programs ...
doi:10.11648/j.ajesa.20130102.11
fatcat:a5dw7yzzunflre7tbsvdhmy3h4
Neurocognitive Informatics Manifesto
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In this position paper examples of neurocognitive inspirations and promising directions in this area are given. ...
Neurocognitive informatics is a new, emerging field that should help to improve the matching of artificial and natural systems, and inspire better computational algorithms to solve problems that are still ...
The use of wave-like representation in terms of basis functions to describe neural states makes this formalism similar to that used in quantum mechanics, although no real quantum effects are implied here ...
arXiv:2101.03609v1
fatcat:newlygw52vfytmfxtvtlzrohju
Conversational Transfer Learning for Emotion Recognition
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Given the large amount of available conversational data, we investigate whether generative conversational models can be leveraged to transfer affective knowledge for detecting emotions in context. ...
Overall, we infer that knowledge acquired from dialogue generators can indeed help recognize emotions in conversations. ...
We also gratefully acknowledge the support of NVIDIA Corporation with the donation of a Titan Xp GPU used for this research. ...
arXiv:1910.04980v3
fatcat:wz2a4txienhlba5r2q76cswtjq
Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2103.12360v2 fatcat:gyhm3t5uubay5ppwfnumurmxiiOther Versions
To this end, we consider MELD, a benchmark emotion recognition dataset in multi-party conversations for the task of ERC, and augment it with new ground-truth labels for EFR. ...
We propose a masked memory network to address the former and a Transformer-based network for the latter task. ...
They used quantum-inspired interactive networks, which leverages the mathematical formalism of quantum theory and the LSTM network, to learn such interaction dynamics. Wang et al. ...
arXiv:2103.12360v3
fatcat:5zpzvcu3mbdflbqz2mnmx4r5ze
Front Matter
2020
2020 International Joint Conference on Neural Networks (IJCNN)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Beijing, China, China
5:45PM A Multi-Population FA for Automatic Facial Emotion Recognition [#21155]
Kamlesh Mistry, Baqar Rizvi, Chris Rook, Sadaf Iqbal, Li Zhang and Colin Paul Joy
Dept. of computer ...
filter in a Spiking Convolutional Neural Network: a
preliminary study [#21556]
Shriya Gupta and Basabdatta Bhattacharya
BITS Pilani Goa Campus, India
P1314 Application of Spiking Neural Networks for ...
doi:10.1109/ijcnn48605.2020.9207579
fatcat:hptkppolhbfn7nz3yangesetpi
A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In [33] , a hybrid deep neural network model has been proposed for heterogeneous acoustic features that reduce classification performance in speech emotion recognition problem. ...
In [30] , to effectively improve speech emotion recognition performance, a novel speech emotion recognition technique is presented that depends on Deep Neural Network (DNN), decision tree and SVM. ...
In [58] , presents a speech emotion recognition system using the recurrent neural network (RNN) model. ...
doi:10.1109/access.2020.3043201
fatcat:khpnyeyqvjej5mg7scdexbplfu
Neural Networks for Emotion Classification
[article]
2011
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Finally, we perform several experiments and show that our neural network approach can be successfully used for emotion recognition. ...
One of these skills is the ability to understand the emotional state of the person. This thesis describes a neural network-based approach for emotion classification. ...
We can transform this unsupervised neural network into a supervised LVQ (Learning Vector Quantum) neural network, which is another clustering technique. ...
arXiv:1105.6014v1
fatcat:ck3x6tl3vfgxvlg5ad5rawrmuq
2014 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 25
2014
IEEE Transactions on Neural Networks and Learning Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
., +, TNNLS Jul. 2014 1346-1358 Shift registers ERNN: A Biologically Inspired Feedforward Neural Network to Discriminate Emotion From EEG Signal. ...
., +, TNNLS May 2014 908-919
Feature extraction
ERNN: A Biologically Inspired Feedforward Neural Network to Discrimi-
nate Emotion From EEG Signal. ...
The Field of Values of a Matrix and Neural Networks. Georgiou, G.M., TNNLS Sep. 2014 ...
doi:10.1109/tnnls.2015.2396731
fatcat:ztnfcozrejhhfdwg7t2f5xlype
Accelerating Decision-Making in Transport Emergency with Artificial Intelligence
2020
Advances in Science, Technology and Engineering Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
emotions of participants. ...
The paper addresses speeding up meetings in a networked environment during rescue works in a transport emergency. ...
Acknowledgment Supported by the Russian Foundation for Basic Research, grant No 18-29-03086 "Methods for identifying the needs of economic sectors in digital platforms and end-to-end technologies based ...
doi:10.25046/aj050662
fatcat:iir66vfz6beb5jn6j3y4ykqz4u
The Why, What and How of Artificial General Intelligence Chip Development
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
The AI chips increasingly focus on implementing neural computing at low power and cost. The intelligent sensing, automation, and edge computing applications have been the market drivers for AI chips. ...
Finally, the design consideration required for building an AGI chip is listed along with the methods for testing and validating it. ...
The possibility for quantum chips to run several operations in parallel, inspire the design for quantum neural network. ...
arXiv:2012.06338v2
fatcat:chwmoukdnnccllj3i6to7kb6ha
Quantum mechanics in the brain
2006
Nature
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The role of quantum mechanics for the photons received by the eye and for the molecules of life is not controversial. ...
A small minority, however, maintains that quantum mechanics is important for understanding higher brain functions, e.g. for the generation of voluntary movements (free will), for high-level perception ...
The neural correlate for 'holding in place a template' is a well-studied function of recurrent networks in cortex. ...
doi:10.1038/440611a
pmid:16572152
fatcat:czgo7ggs35ferce2bkxix327y4
ICCE 2020 TOC
2020
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
-
314
65
146
A Relative Comparison of Training
Algorithms in Artificial Neural Network
Saurav Kumar,
Rishabh Kumar
Mishra, Anuran Mitra,
Soumita Biswas,
Sayantani De and Raja
Karmakar
315- ...
Sreemoyee Bose,
Supriyo Das, Arijit
Dey, Jyotirmoy Das
and Syamasree Biswas
Raha
269-
274
57
129
Feature Extraction and Classification of
Phonocardiograms using Convolutional
Neural Networks ...
doi:10.1109/icce50343.2020.9290745
fatcat:eln5gj5hr5chddqhecxlm7lpda
« Previous
Showing results 1 — 15 out of 1,242 results