Viet Anh Khoa Tran
@ktran.de
PhD student on Dendritic Learning/NeuroAI with Willem Wybo,
at Emre Neftci's lab (@fz-juelich.de).
ktran.de
at Emre Neftci's lab (@fz-juelich.de).
ktran.de
Reposted by Viet Anh Khoa Tran
👋 At #SfN25? Interested in how head-direction cells anchor to visual cues?
🧠 Come visit me Tuesday Morning (8am - 12pm)
📍 Poster RR15
showing work w/ @adrian-du.bsky.social on parallax in PoSub and what we learn from it for visual cue integration. Come say hi or DM for a coffee chat! ☕️ #Neurosky
🧠 Come visit me Tuesday Morning (8am - 12pm)
📍 Poster RR15
showing work w/ @adrian-du.bsky.social on parallax in PoSub and what we learn from it for visual cue integration. Come say hi or DM for a coffee chat! ☕️ #Neurosky
November 16, 2025 at 11:50 PM
👋 At #SfN25? Interested in how head-direction cells anchor to visual cues?
🧠 Come visit me Tuesday Morning (8am - 12pm)
📍 Poster RR15
showing work w/ @adrian-du.bsky.social on parallax in PoSub and what we learn from it for visual cue integration. Come say hi or DM for a coffee chat! ☕️ #Neurosky
🧠 Come visit me Tuesday Morning (8am - 12pm)
📍 Poster RR15
showing work w/ @adrian-du.bsky.social on parallax in PoSub and what we learn from it for visual cue integration. Come say hi or DM for a coffee chat! ☕️ #Neurosky
Our preprint has been accepted at #NeurIPS2025! 🎉
I will be presenting TMCL in just two weeks at the #BernsteinConference. Hope to see some of you there! @bernsteinneuro.bsky.social
Many thanks to my advisor Willem Wybo, and to Emre Neftci for the great support.
I will be presenting TMCL in just two weeks at the #BernsteinConference. Hope to see some of you there! @bernsteinneuro.bsky.social
Many thanks to my advisor Willem Wybo, and to Emre Neftci for the great support.
New #NeuroAI preprint on #ContinualLearning!
Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple').
We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)
Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple').
We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)
September 18, 2025 at 8:10 PM
Our preprint has been accepted at #NeurIPS2025! 🎉
I will be presenting TMCL in just two weeks at the #BernsteinConference. Hope to see some of you there! @bernsteinneuro.bsky.social
Many thanks to my advisor Willem Wybo, and to Emre Neftci for the great support.
I will be presenting TMCL in just two weeks at the #BernsteinConference. Hope to see some of you there! @bernsteinneuro.bsky.social
Many thanks to my advisor Willem Wybo, and to Emre Neftci for the great support.
Reposted by Viet Anh Khoa Tran
Björn Kampa, Willem Wybo and I have organized an exciting symposium at the upcomig #BernsteinConference:
bernstein-network.de/bernstein-co...
Everything about Dendrites: Check it out!
bernstein-network.de/bernstein-co...
Everything about Dendrites: Check it out!
(SW2025) From molecules to networks: The dendritic processes that shape learning and memory – Bernstein Netzwerk Computational Neuroscience
bernstein-network.de
September 8, 2025 at 4:01 PM
Björn Kampa, Willem Wybo and I have organized an exciting symposium at the upcomig #BernsteinConference:
bernstein-network.de/bernstein-co...
Everything about Dendrites: Check it out!
bernstein-network.de/bernstein-co...
Everything about Dendrites: Check it out!
New #NeuroAI preprint on #ContinualLearning!
Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple').
We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)
Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple').
We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)
June 10, 2025 at 1:17 PM
New #NeuroAI preprint on #ContinualLearning!
Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple').
We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)
Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple').
We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)