Si Wu
教授
Researches computational neuroscience and brain-inspired computing.
Si Wu's lab at Peking works on neuroscience & brain-computer interfaces and computational neuroscience & cognition. 12 papers since 2023, 9 at top venues, mostly NeurIPS and Neural Networks. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 75%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 2
- 4 papers2024 · T1 3
- 5 papers2023 · T1 4
T1 venuesOtherVenues: NeurIPS, Neural Networks, ICLR
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces2 papers
- brain-inspired computing1 paper
- Computational neuroscience & cognition0 papers
- researches computational0 papers
- computational neuroscience0 papers
Paper list
From DBLP.
20253 papers
- Intell. Comput.A Commentary on "Inferring Neural Activity before Plasticity as a Foundation for Learning beyond Backpropagation" (opens in a new tab)
- NeurIPS (T1)Unfolding the Black Box of Recurrent Neural Networks for Path Integration (opens in a new tab)
- NeurIPS (T1)Vector Quantization in the Brain: Grid-like Codes in World Models (opens in a new tab)
20244 papers
- ICLR (T1)A differentiable brain simulator bridging brain simulation and brain-inspired computing (opens in a new tab)
- Neural NetworksLearning sequence attractors in recurrent networks with hidden neurons (opens in a new tab)
- NeurIPS (T1)The motion planning neural circuit in goal-directed navigation as Lie group operator search (opens in a new tab)
- NeurIPS (T1)To Learn or Not to Learn, That is the Question - A Feature-Task Dual Learning Model of Perceptual Learning (opens in a new tab)
20235 papers
- NeurIPS (T1)A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation (opens in a new tab)
- NeurIPS (T1)Learning and processing the ordinal information of temporal sequences in recurrent neural circuits (opens in a new tab)
- NeurIPS (T1)Neural Sampling in Hierarchical Exponential-family Energy-based Models (opens in a new tab)
- NeurIPS (T1)Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics (opens in a new tab)
- Neural NetworksVisual information processing through the interplay between fine and coarse signal pathways (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
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
- DBLP
- Members
- Not collected
- Alumni
- Not collected
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