A citation-based method for searching scientific literature

Jakob Jordan, Mihai A Petrovici, Oliver Breitwieser, Johannes Schemmel, Karlheinz Meier, Markus Diesmann, Tom Tetzlaff. Sci Rep 2019
Times Cited: 3







List of co-cited articles
2 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Stochasticity from function - Why the Bayesian brain may need no noise.
Dominik Dold, Ilja Bytschok, Akos F Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A Petrovici. Neural Netw 2019
4
66

Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
151
66


Stochastic inference with spiking neurons in the high-conductance state.
Mihai A Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier. Phys Rev E 2016
10
33


Spiking neurons with short-term synaptic plasticity form superior generative networks.
Luziwei Leng, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A Petrovici. Sci Rep 2018
6
33

Stochastic variational learning in recurrent spiking networks.
Danilo Jimenez Rezende, Wulfram Gerstner. Front Comput Neurosci 2014
27
33

Critical phenomena and noise-induced phase transitions in neuronal networks.
K-E Lee, M A Lopes, J F F Mendes, A V Goltsev. Phys Rev E Stat Nonlin Soft Matter Phys 2014
15
33

Leaky Integrate-and-Fire Neuron Circuit Based on Floating-Gate Integrator.
Vladimir Kornijcuk, Hyungkwang Lim, Jun Yeong Seok, Guhyun Kim, Seong Keun Kim, Inho Kim, Byung Joon Choi, Doo Seok Jeong. Front Neurosci 2016
8
33


Langevin simulations of lattice field theories.
Batrouni, Katz, Kronfeld, Lepage, Svetitsky, Wilson. Phys Rev D Part Fields 1985
90
33

Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity.
Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass. PLoS Comput Biol 2013
92
33

A brief history of excitable map-based neurons and neural networks.
M Girardi-Schappo, M H R Tragtenberg, O Kinouchi. J Neurosci Methods 2013
16
33

Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons.
Dimitri Probst, Mihai A Petrovici, Ilja Bytschok, Johannes Bill, Dejan Pecevski, Johannes Schemmel, Karlheinz Meier. Front Comput Neurosci 2015
11
33

Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons.
Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass. PLoS Comput Biol 2011
110
33

Theory and simulation in neuroscience.
Wulfram Gerstner, Henning Sprekeler, Gustavo Deco. Science 2012
63
33


The stochastic Fitzhugh-Nagumo neuron model in the excitable regime embeds a leaky integrate-and-fire model.
Marius E Yamakou, Tat Dat Tran, Luu Hoang Duc, Jürgen Jost. J Math Biol 2019
4
33


Metropolis and Langevin time.
Baillie, Johnston. Phys Rev D Part Fields 1989
1
100

Event-driven contrastive divergence for spiking neuromorphic systems.
Emre Neftci, Srinjoy Das, Bruno Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs. Front Neurosci 2014
50
33

Universality away from critical points in two-dimensional phase transitions.
Cintia M Lapilli, Peter Pfeifer, Carlos Wexler. Phys Rev Lett 2006
24
33

Overview of coupled map lattices.
Kunihiko Kaneko. Chaos 1992
89
33


Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines.
Emre O Neftci, Bruno U Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs. Front Neurosci 2016
27
33

Protein Function Prediction Using Deep Restricted Boltzmann Machines.
Xianchun Zou, Guijun Wang, Guoxian Yu. Biomed Res Int 2017
8
33

Learning Universal Computations with Spikes.
Dominik Thalmeier, Marvin Uhlmann, Hilbert J Kappen, Raoul-Martin Memmesheimer. PLoS Comput Biol 2016
28
33

Mimicking biological neurons with a nanoscale ferroelectric transistor.
Halid Mulaosmanovic, Elisabetta Chicca, Martin Bertele, Thomas Mikolajick, Stefan Slesazeck. Nanoscale 2018
21
33

Which model to use for cortical spiking neurons?
Eugene M Izhikevich. IEEE Trans Neural Netw 2004
492
33


Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons.
Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy. Sci Rep 2018
13
33

Structurally engineered stackable and scalable 3D titanium-oxide switching devices for high-density nanoscale memory.
Daeseok Lee, Jaesung Park, Jaehyuk Park, Jiyong Woo, Euijun Cha, Sangheon Lee, Kibong Moon, Jeonghwan Song, Yunmo Koo, Hyunsang Hwang. Adv Mater 2015
12
33

Noise in the nervous system.
A Aldo Faisal, Luc P J Selen, Daniel M Wolpert. Nat Rev Neurosci 2008
33

Accumulative Polarization Reversal in Nanoscale Ferroelectric Transistors.
Halid Mulaosmanovic, Thomas Mikolajick, Stefan Slesazeck. ACS Appl Mater Interfaces 2018
12
33


The straintronic spin-neuron.
Ayan K Biswas, Jayasimha Atulasimha, Supriyo Bandyopadhyay. Nanotechnology 2015
5
33

Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges.
Sourav Dutta, Clemens Schafer, Jorge Gomez, Kai Ni, Siddharth Joshi, Suman Datta. Front Neurosci 2020
3
33

Stochastic IMT (Insulator-Metal-Transition) Neurons: An Interplay of Thermal and Threshold Noise at Bifurcation.
Abhinav Parihar, Matthew Jerry, Suman Datta, Arijit Raychowdhury. Front Neurosci 2018
6
33

Biological plausibility and stochasticity in scalable VO2 active memristor neurons.
Wei Yi, Kenneth K Tsang, Stephen K Lam, Xiwei Bai, Jack A Crowell, Elias A Flores. Nat Commun 2018
47
33

All-optical spiking neurosynaptic networks with self-learning capabilities.
J Feldmann, N Youngblood, C D Wright, H Bhaskaran, W H P Pernice. Nature 2019
79
33

Memristive devices for computing.
J Joshua Yang, Dmitri B Strukov, Duncan R Stewart. Nat Nanotechnol 2013
621
33

Neuromorphic silicon neuron circuits.
Giacomo Indiveri, Bernabé Linares-Barranco, Tara Julia Hamilton, André van Schaik, Ralph Etienne-Cummings, Tobi Delbruck, Shih-Chii Liu, Piotr Dudek, Philipp Häfliger, Sylvie Renaud,[...]. Front Neurosci 2011
235
33

Current-driven spin torque induced by the Rashba effect in a ferromagnetic metal layer.
Ioan Mihai Miron, Gilles Gaudin, Stéphane Auffret, Bernard Rodmacq, Alain Schuhl, Stefania Pizzini, Jan Vogel, Pietro Gambardella. Nat Mater 2010
227
33

Mid-infrared properties of a VO2 film near the metal-insulator transition.
Choi, Ahn, Jung, Noh, Kim. Phys Rev B Condens Matter 1996
42
33

MoS2 Memristors Exhibiting Variable Switching Characteristics toward Biorealistic Synaptic Emulation.
Da Li, Bin Wu, Xiaojian Zhu, Juntong Wang, Byunghoon Ryu, Wei D Lu, Wei Lu, Xiaogan Liang. ACS Nano 2018
37
33



Voltage control of domain walls in magnetic nanowires for energy-efficient neuromorphic devices.
Md Ali Azam, Dhritiman Bhattacharya, Damien Querlioz, Caroline A Ross, Jayasimha Atulasimha. Nanotechnology 2020
3
33

Switching Kinetics in Nanoscale Hafnium Oxide Based Ferroelectric Field-Effect Transistors.
Halid Mulaosmanovic, Johannes Ocker, Stefan Müller, Uwe Schroeder, Johannes Müller, Patrick Polakowski, Stefan Flachowsky, Ralf van Bentum, Thomas Mikolajick, Stefan Slesazeck. ACS Appl Mater Interfaces 2017
20
33

Highly Compact Artificial Memristive Neuron with Low Energy Consumption.
Yishu Zhang, Wei He, Yujie Wu, Kejie Huang, Yangshu Shen, Jiasheng Su, Yaoyuan Wang, Ziyang Zhang, Xinglong Ji, Guoqi Li,[...]. Small 2018
9
33


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.