Mihai A. Petrovici - Concepedia

Author

Mihai A. Petrovici

Also Known As

Abd Hamid, Aini Ismafairus, Christof Koch, Gilpin, William, Herrmann, Christoph S, M. A. Petrovici, M. PETROVICI, M. Petrovici, M.-A. PETROVICI, M.A. Petrovici, Mihai A Petrovici

176

Publications

1.6K

Citations

H-Index

Concepts

All Affiliations

Heidelberg University University of Bern Kirchhoff (Germany)Centre National de la Recherche Scientifique Graz University of Technology

About

Mihai A. Petrovici is an author at Heidelberg University specializing in social sciences, neuroscience, and computational neuroscience.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	515
2	Social Sciences	12	14	562
3	Cognitive Science	9	9	235
4	Health Sciences	1	1	20
5	Medicine	1	1	12

Mihai A. Petrovici

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Six Networks on a Universal Neuromorphic Computing Substrate Thomas Pfeil, Andreas Grübl, Sebastian Jeltsch, Frontiers in Neuroscience Successful EmulationEngineeringComputational NeuroscienceBioelectronicsComputer Engineering	2013	178
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study Timo C. Wunderlich, Ákos F. Kungl, Eric Müller, Frontiers in Neuroscience	2019	136
Fast and energy-efficient neuromorphic deep learning with first-spike\n times Julian Göltz, Laura Kriener, Andreas Baumbach, arXiv (Cornell University)	2019	127
Stochastic inference with spiking neurons in the high-conductance state Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Physical review. E Synaptic PlasticityCognitive ScienceNeocortical CircuitsSensory NeuroscienceNeurodynamics	2016	69
Visualizing a joint future of neuroscience and neuromorphic engineering Friedemann Zenke, Sander M. Bohté, Claudia Clopath, Neuron EngineeringComputational NeuroscienceJoint FutureNeuromorphic ComputingNeuroscience	2021	65
Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms Mihai A. Petrovici, Bernhard Vogginger, Paul Müller, PLoS ONE	2014	52
Predictive olfactory learning in Drosophila Chang Zhao, Yves F. Widmer, Sören Diegelmann, Scientific Reports	2021	46
Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks Ákos F. Kungl, S. Schmitt, Johann Klähn, Frontiers in Neuroscience Inherent ParallelismSpiking Network ModelEngineeringNeurochipSocial Sciences	2019	44
ALICE Technical Design Report of the Inner Tracking System (ITS) G. Dellacasa, X. Zhu, M. Wahn, High-Energy Physics Literature Database (CERN, DESY, Fermilab, IHEP, and SLAC) Location TrackingEngineeringInner Tracking SystemAutomationDesign	1999	38
26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Adam J. H. Newton, Alexandra H. Seidenstein, Robert A. McDougal, BMC Neuroscience	2017	36

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