Neural networks and neurophysiological signals

Neural networks and neurophysiological signals

Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.

Bibliografski detalji
Glavni autor:	Sarda, Srikant, 1977-
Daljnji autori:	Steve Burns.
Format:	Disertacija
Jezik:	eng
Izdano:	Massachusetts Institute of Technology 2005
Teme:	Electrical Engineering and Computer Science
Online pristup:	http://hdl.handle.net/1721.1/9806

Slični predmeti

Neurophysiology-inspired neural networks for affective brain-computer interfaces
od: Ding, Yi
Izdano: (2023)

Application of neural network techniques for modeling of blast furnace parameters
od: Dhond, Anjali, 1977-
Izdano: (2005)

Evolutionary, developmental neural networks for robust robotic control
od: Adams, Bryan (Bryan Paul), 1977-
Izdano: (2007)

Networks-based brain computer interfaces for decoding neurophysiological dynamics
od: Chouhan, Tushar
Izdano: (2020)

A neural network approach to the modeling of blast furnace
od: Ge, Angela X. (Angela Xiaoyun), 1977-
Izdano: (2013)

Neurophysiology and Neural Computation
od: Grant, Arthur C., i dr.
Izdano: (2010)

Neural network models for zebra finch song production and reinforcement learning
od: Werfel, Justin (Justin Keith), 1977-
Izdano: (2014)

Neural network based prediction and input saliency determination in a blast furnace environment
od: Sarma, Ravindra K., 1977-
Izdano: (2014)

Optical distribution networks : signal-to-noise ratio optimization and distributed erbium-doped fiber amplifiers
od: Mookherjea, Shayan, 1977-
Izdano: (2005)

Neurophysiology and Neural Computation
od: Lettvin, Jerome Y., i dr.
Izdano: (2010)

Modular high-speed signaling for networks in HPC systems using COTS components
od: Chen, Peggy B. (Peggy Bing-Jen), 1977-
Izdano: (2014)

A time-delayed neural network approach to the prediction of the hot metal temperature in a blast furnace
od: Leonida, Mike (Mike George), 1977-
Izdano: (2005)

Adaptive Neural Signal Detection for Massive MIMO
od: Khani Shirkoohi, Mehrdad.
Izdano: (2019)

Neural bus networks
od: Sloan, Cooper Stokes
Izdano: (2018)

Parallel signal-processing for everyone
od: Vasconcellos, Brett W. (Brett William), 1977-
Izdano: (2005)

Information extraction with neural networks
od: Lee, Ji Young, Ph. D. Massachusetts Institute of Technology
Izdano: (2017)

On foveation of deep neural networks
od: Srivastava, Sanjana.
Izdano: (2019)

Linear control model of the spinal processing of descending neural signals
od: Cajigas González, Iahn, 1980-
Izdano: (2005)

Organic LEDs for optoelectronic neural networks
od: Mars, Risha R
Izdano: (2013)

Secure inference of quantized neural networks
od: Mehta, Haripriya(Haripriya P.)
Izdano: (2020)

Learning dynamics in feedforward neural networks
od: Shah, Jagesh V. (Jagesh Vijaykumar)
Izdano: (2007)

Towards understanding residual neural networks
od: Zeng, Brandon.
Izdano: (2019)

Classification of finger gestures from myoelectric signals
od: Ju, Peter M. (Peter Ming-Wei), 1977-
Izdano: (2005)

Design, modeling, and simulation of a Compact Optoelectronic Neural Coprocessor
od: Simpkins, Travis L. (Travis Lee), 1977-
Izdano: (2008)

Greedy layerwise training of convolutional neural networks
od: Trinh, Loc Quang.
Izdano: (2019)

Towards practical neural network meta-modeling
od: Baker, Bowen
Izdano: (2018)

Aircraft position prediction using neural networks
od: Doshi, Anuja
Izdano: (2006)

Sequential short-text classification with neural networks
od: Dernoncourt, Franck
Izdano: (2017)

Food adulteration detection using neural networks
od: Gu, Youyang
Izdano: (2016)

On the relation between neural network size and performance
od: Rosenfeld, Jonathan S.(Jonathan Shmuel)
Izdano: (2019)

Comparing learned representations of deep neural networks
od: Miglani, Vivek N.
Izdano: (2019)

Structure and geometry in sequence-processing neural networks
od: Del Río Fernández, Miguel Ángel.
Izdano: (2021)

Exploring neural network architectures for acoustic modeling
od: Zhang, Yu, Ph. D. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Izdano: (2018)

Enhancing adversarial robustness of deep neural networks
od: Zhang, Jeffrey,M. Eng.Massachusetts Institute of Technology.
Izdano: (2019)

An entropy-based approach to network attack classification with deep neural network
od: Do, Emily H.
Izdano: (2020)

Signal processing for DNA sequencing
od: Boufounos, Petros T., 1977-
Izdano: (2005)

Network coding
od: Lehman, April Rasala, 1977-
Izdano: (2006)

On the use of neural networks in approximating optimal control solutions
od: McDermott, Wesley
Izdano: (2005)

Evaluating robustness of neural networks with mixed integer programming
od: Tjeng, Vincent
Izdano: (2018)

Neural network architectures for Prepositional Phrase attachment disambiguation
od: Belinkov, Yonatan
Izdano: (2014)