Emre Neftci

4.9k total citations · 2 hit papers
74 papers, 2.7k citations indexed

About

Emre Neftci is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Emre Neftci has authored 74 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Electrical and Electronic Engineering, 46 papers in Cognitive Neuroscience and 32 papers in Artificial Intelligence. Recurrent topics in Emre Neftci's work include Advanced Memory and Neural Computing (60 papers), Neural dynamics and brain function (45 papers) and Ferroelectric and Negative Capacitance Devices (25 papers). Emre Neftci is often cited by papers focused on Advanced Memory and Neural Computing (60 papers), Neural dynamics and brain function (45 papers) and Ferroelectric and Negative Capacitance Devices (25 papers). Emre Neftci collaborates with scholars based in United States, Germany and Switzerland. Emre Neftci's co-authors include Hesham Mostafa, Friedemann Zenke, Bruno B. Averbeck, Gert Cauwenberghs, Georgios Detorakis, Somnath Paul, Charles Augustine, Jacques Kaiser, Bruno U. Pedroni and Giacomo Indiveri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Emre Neftci

67 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

2019 773 citations Emre Neftci, Hesham Mostafa et al. profile →
Training Spiking Neural Networks Using Lessons From Deep Learning

2023 297 citations Jason K. Eshraghian, Max Ward et al. Proceedings of the IEEE profile →

Peers

Countries citing papers authored by Emre Neftci

Since Specialization

Citations

This map shows the geographic impact of Emre Neftci's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emre Neftci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emre Neftci more than expected).

Fields of papers citing papers by Emre Neftci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emre Neftci. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emre Neftci. The network helps show where Emre Neftci may publish in the future.

Co-authorship network of co-authors of Emre Neftci

This figure shows the co-authorship network connecting the top 25 collaborators of Emre Neftci. A scholar is included among the top collaborators of Emre Neftci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emre Neftci. Emre Neftci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention 2025 ·(unknown), (unknown), Emre Neftci	0
2	Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware 2025 ·Neuromorphic Computing and Engineering ·(unknown), (unknown), Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca	2
3	ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware 2024 ·SHILAP Revista de lepidopterología ·(unknown), Fernando Perez‐Peña, Pedro L. Galindo, Emre Neftci, Elisabetta Chicca, Lyes Khacef	3
4	SNNAX - Spiking Neural Networks in JAX 2024 ·(unknown), (unknown), Emre Neftci	1
5	Understanding and Improving Optimization in Predictive Coding Networks 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jeffrey L. Krichmar, Emre Neftci	1
6	Design principles for lifelong learning AI accelerators 2023 ·Nature Electronics ·Dhireesha Kudithipudi, (unknown), (unknown), (unknown), James B. Aimone, Ángel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, (unknown), Benjamin R. Epstein	9
7	Training Spiking Neural Networks Using Lessons From Deep Learning breakdown → 2023 ·Proceedings of the IEEE ·Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei Lü	297
8	Overcoming phase-change material non-idealities by meta-learning for adaptation on the edge 2023 ·Zurich Open Repository and Archive (University of Zurich) ·Yiğit Demirağ, Regina Dittmann, Giacomo Indiveri, Emre Neftci	0
9	Integration of physics-derived memristor models with machine learning frameworks 2023 ·(unknown), Stephan Menzel, John Paul Strachan, Emre Neftci	2
10	On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks 2020 ·IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Melika Payvand, Mohammed E. Fouda, Fadi Kurdahi, Ahmed M. Eltawil, Emre Neftci	22
11	Zero Velocity Detector for Foot-mounted Inertial Navigation System Assisted by a Dynamic Vision Sensor 2020 ·(unknown), (unknown), Jörg Conradt, Emre Neftci, Andrei M. Shkel	9
12	Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity 2019 ·Frontiers in Neuroscience ·Bruno U. Pedroni, Siddharth Joshi, Stephen Deiss, Sadique Sheik, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre Neftci, Gert Cauwenberghs	14
13	Independent Component Analysis Using RRAMs 2018 ·IEEE Transactions on Nanotechnology ·Mohammed E. Fouda, Emre Neftci, Ahmed M. Eltawil, Fadi Kurdahi	11
14	Synaptic Plasticity Dynamics for Deep Continuous Local Learning. 2018 ·arXiv (Cornell University) ·Jacques Kaiser, Hesham Mostafa, Emre Neftci	10
15	A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates 2018 ·Hirak J. Kashyap, Georgios Detorakis, Nikil Dutt, Jeffrey L. Krichmar, Emre Neftci	8
16	Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines 2017 ·Frontiers in Neuroscience ·Emre Neftci, Charles Augustine, Somnath Paul, Georgios Detorakis	164
17	Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines 2016 ·Frontiers in Neuroscience ·Emre Neftci, Bruno U. Pedroni, Siddharth Joshi, Maruan Al-Shedivat, Gert Cauwenberghs	88
18	Event-driven contrastive divergence for spiking neuromorphic systems 2014 ·Frontiers in Neuroscience ·Emre Neftci, Srinjoy Das, Bruno U. Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs	148
19	PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems 2014 ·Frontiers in Neuroinformatics ·Fabio Stefanini, Emre Neftci, Sadique Sheik, Giacomo Indiveri	17
20	Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons 2007 ·PUB – Publications at Bielefeld University (Bielefeld University) ·Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, (unknown), Rodney J. Douglas	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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