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Brain landscape the coexistance of neuroscience and architecture
Brain landscape the coexistance of neuroscience and architecture
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Brain landscape the coexistance of neuroscience and architecture

John P. Eberhard

Oxford Oxford University Press New York 2009

Available at ICB - Inst. Ciências Biomédicas    (WL300 E16b 2009 )(GetIt)

2
A million spiking-neuron integrated circuit with a scalable communication network and interface
A million spiking-neuron integrated circuit with a scalable communication network and interface
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A million spiking-neuron integrated circuit with a scalable communication network and interface

Merolla, Paul A. ; Arthur, John V. ; Alvarez-Icaza, Rodrigo ; Cassidy, Andrew S. ; Sawada, Jun ; Akopyan, Filipp ; Jackson, Bryan L. ; Imam, Nabil ; Guo, Chen ; Nakamura, Yutaka ; Brezzo, Bernard ; Vo, Ivan ; Esser, Steven K. ; Appuswamy, Rathinakumar ; Taba, Brian ; Amir, Arnon ; Flickner, Myron D. ; Risk, William P. ; Manohar, Rajit ; Modha, Dharmendra S.

Science (American Association for the Advancement of Science), 2014-08, Vol.345 (6197), p.668-673 [Peer Reviewed Journal]

Washington: American Association for the Advancement of Science

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3
Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals
Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals
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Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals

Rahimi, Abbas ; Kanerva, Pentti ; Benini, Luca ; Rabaey, Jan M.

Proceedings of the IEEE, 2019-01, Vol.107 (1), p.123-143 [Peer Reviewed Journal]

New York: IEEE

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4
The SpiNNaker Project
The SpiNNaker Project
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The SpiNNaker Project

Furber, Steve B. ; Galluppi, Francesco ; Temple, Steve ; Plana, Luis A.

Proceedings of the IEEE, 2014-05, Vol.102 (5), p.652-665 [Peer Reviewed Journal]

New York: IEEE

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5
Applications of Deep Learning and Reinforcement Learning to Biological Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
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Applications of Deep Learning and Reinforcement Learning to Biological Data

Mahmud, Mufti ; Kaiser, Mohammed Shamim ; Hussain, Amir ; Vassanelli, Stefano

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

United States: IEEE

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6
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
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Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

Sakhavi, Siavash ; Guan, Cuntai ; Yan, Shuicheng

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5619-5629

United States: IEEE

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7
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years
TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years
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TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years

DeBole, Michael V. ; Taba, Brian ; Amir, Arnon ; Akopyan, Filipp ; Andreopoulos, Alexander ; Risk, William P. ; Kusnitz, Jeff ; Ortega Otero, Carlos ; Nayak, Tapan K. ; Appuswamy, Rathinakumar ; Carlson, Peter J. ; Cassidy, Andrew S. ; Datta, Pallab ; Esser, Steven K. ; Garreau, Guillaume J. ; Holland, Kevin L. ; Lekuch, Scott ; Mastro, Michael ; McKinstry, Jeff ; di Nolfo, Carmelo ; Paulovicks, Brent ; Sawada, Jun ; Schleupen, Kai ; Shaw, Benjamin G. ; Klamo, Jennifer L. ; Flickner, Myron D. ; Arthur, John V. ; Modha, Dharmendra S.

Computer (Long Beach, Calif.), 2019-05, Vol.52 (5), p.20-29 [Peer Reviewed Journal]

New York: IEEE

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8
An atlas of the protein-coding genes in the human, pig, and mouse brain
An atlas of the protein-coding genes in the human, pig, and mouse brain
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An atlas of the protein-coding genes in the human, pig, and mouse brain

Sjöstedt, Evelina ; Zhong, Wen ; Fagerberg, Linn ; Karlsson, Max ; Mitsios, Nicholas ; Adori, Csaba ; Oksvold, Per ; Edfors, Fredrik ; Limiszewska, Agnieszka ; Hikmet, Feria ; Huang, Jinrong ; Du, Yutao ; Lin, Lin ; Dong, Zhanying ; Yang, Ling ; Liu, Xin ; Jiang, Hui ; Xu, Xun ; Wang, Jian ; Yang, Huanming ; Bolund, Lars ; Mardinoglu, Adil ; Zhang, Cheng ; von Feilitzen, Kalle ; Lindskog, Cecilia ; Pontén, Fredrik ; Luo, Yonglun ; Hökfelt, Tomas ; Uhlén, Mathias ; Mulder, Jan

Science (American Association for the Advancement of Science), 2020-03, Vol.367 (6482), p.1090 [Peer Reviewed Journal]

United States: The American Association for the Advancement of Science

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9
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
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Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region

Moffitt, Jeffrey R ; Bambah-Mukku, Dhananjay ; Eichhorn, Stephen W ; Vaughn, Eric ; Shekhar, Karthik ; Perez, Julio D ; Rubinstein, Nimrod D ; Hao, Junjie ; Regev, Aviv ; Dulac, Catherine ; Zhuang, Xiaowei

Science (American Association for the Advancement of Science), 2018-11, Vol.362 (6416) [Peer Reviewed Journal]

United States: The American Association for the Advancement of Science

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10
The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
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The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing

Lein, Ed ; Borm, Lars E. ; Linnarsson, Sten

Science (American Association for the Advancement of Science), 2017-10, Vol.358 (6359), p.64-69 [Peer Reviewed Journal]

United States: American Association for the Advancement of Science

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