Rainer Engelken
Assistant Professor
Studies theoretical and computational neuroscience with machine learning, including dynamics of recurrent neural networks.
Rainer Engelken's lab at UIUC works on learning theory & optimization, computational neuroscience & cognition and neuroscience & brain-computer interfaces. 6 papers since 2023, 2 at top venues, mostly NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 33%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 2 papers2024 · T1 0
- 4 papers2023 · T1 2
T1 venuesOtherVenues: NeurIPS
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- Computational neuroscience & cognition0 papers
- Neuroscience & brain-computer interfaces0 papers
- theoretical0 papers
- computational neuroscience0 papers
Paper list
From the lab homepage.
20242 papers
20234 papers
- eLifeBoosting of neural circuit chaos at the onset of collective oscillations (opens in a new tab)
- NeurIPS (T1)Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians (opens in a new tab)
- Physical Review ResearchLyapunov spectra of chaotic recurrent neural networks (opens in a new tab)
- NeurIPS (T1)SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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