Results 211 to 220 of about 1,314,055 (250)

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding. [PDF]

Elife
Fang C, Lindsey JW, Abbott LF, Aronov D, Chettih SN.   +4 more
europepmc   +1 more source

Efficient compression of encoder-decoder models for semantic segmentation using the separation index. [PDF]

Sci Rep
Jamshidi M, Kalhor A, Vahabie AH.
europepmc   +1 more source

Graph-theoretical analysis of EEG-based functional connectivity during emotional experience in virtual reality for emotion recognition. [PDF]

Sci Rep
Jo HJ, Lee MJ, Lee WH.
europepmc   +1 more source

Blurred magnitude homology of functional connectome for ASD diagnosis. [PDF]

Front Psychiatry
Kachura A, Chernyshev V, Kachan O, Levchenko E.   +3 more
europepmc   +1 more source

Brain structural and functional impairment network localization in obsessive-compulsive disorder. [PDF]

J Psychiatry Neurosci
Tian Y, Shi W, Tao Q, Yang H, Guo H, Wen B, Wei Y, Chen H, Zhang Y, Cheng J, Han S.   +10 more
europepmc   +1 more source

Dissociating the Role of Dorsolateral Prefrontal Cortex and Ventrolateral Prefrontal Cortex in Cognitive Control in Depression: A Combined HD-tDCS and fNIRS Study. [PDF]

Brain Topogr
Hernández-Sauret A, Garcia-Castro G, Redolar-Ripoll DE.   +2 more
europepmc   +1 more source

OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired. [PDF]

Sci Rep
Nagasubramanian A, Almazyad AS, Balakrishnan SA, Mm BR, Potti D, Zakariah M, AlSekait DM.   +6 more
europepmc   +1 more source

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Evaluating FPGA Acceleration on Binarized Neural Networks and Quantized Neural Networks

2022 International Symposium on Measurement and Control in Robotics (ISMCR), 2022
The gap between complex deep learning models and the limited computing capability of individual robots is one of the driving forces to hardware acceleration of image classification networks. Therefore, this paper presents two case studies using the field-
Sarala K Surapally, Xiaokun Yang, T. L. Harman, L. Shih   +3 more
semanticscholar   +2 more sources

Detecting Network Intrusion Using Binarized Neural Networks

2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021
The rise of the internet of things will further increase the number of connected devices, which will provide a new attack surface for compromising computer networks.
Jure Vreča, I. Ivanov, Gregor Papa, A. Biasizzo   +3 more
semanticscholar   +2 more sources