Good Papers

Showing Computational neuroscience Show all papers

71%Highly rated
?Highly ratedVote to see the score

RBT-v1.0: A 3D Multimodal MRI Stereotaxic Atlas of the Rabbit Brain

RBT-v1.0 integrates 5 T in vivo MRI, 9.4 T ex vivo MRI, and micro-CT into a standardized high-resolution rabbit brain atlas with automated deep learning segmentation.

Zhanbo Zhang, Tianhao Zhou, Pengcheng Li, Junjie Zhuo

Published Jan 15, 2026 · 0 citations

– ReadersNo votes yet
6/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 6 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score

Morpho-Temporal Decoupling: How Primate Neurons Expand Dendrites Without Losing Speed

Jiawei Zhang, Haoyu Wang, Jialun Ma, Wei Dai and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Evaluating Neural Data Tokenizers: A Framework for Assessing Learned Representations of Spiking Activity

Federico D'Agostino, Alex Gilbert, Susanne Keller, Jaivardhan Kapoor and 16 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

MICE: Multi-animal Interaction Context Encoder — A Hierarchical Foundation Model for Mouse Behavior

Yen-Shuo Su, Weihan Li, Anqi Wu

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Multi-Level Alignment Framework for Long-Term Olfactory Neural Decoding

Xu Bohao, Jiawei Zeng, Gang Yu, Lei Wang and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Inverse Modeling of Neural Recordings via Differentiable Biophysical Simulation

Frithjof Gressmann, Ngoc H Pham, Lawrence Rauchwerger

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Learning Neuronal Wiring Rules from Morphological Token Sequences

Sidharth Goel, Erdem Varol

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

BACE: Behavior-Adaptive Connectivity Estimation from Multi-Region Neural Recordings

Mehrnaz Asadi, Sina Javadzadeh, Rahil Soroushmojdehi, Ali Mousavi and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
80%Must read
?Must readVote to see the score

Discovering Mechanistic Models of Neural Activity: System Identification in an in Silico Zebrafish

LLM-based tree search discovers predictive zebrafish neural models that outperform forecasting baselines, though structural priors are needed to prevent shortcut exploitation and ensure mechanistic recovery.

Jan-Matthis Lueckmann, Viren Jain, Michal Januszewski

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
69%Highly rated
?Highly ratedVote to see the score

BEAST3D: animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting

BEAST3D relates 3D behavioral features from multi-view video to neural activity via Gaussian splatting. It establishes a versatile framework for behavioral analysis using 3D structure in laboratory recordings.

Yanchen Wang, Lenny Aharon, Wangshu Zhu, Kyle Daruwalla and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
3/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
83%Must read
?Must readVote to see the score

Decomposing the modulation of interactions between neuronal populations

A low-rank tensor extension of communication subspaces decomposes how third variables multiplicatively gate interactions between neural populations via multiplicative interaction channels.

Marco Celotto, J. S Sooter, Sofie Ährlund-Richter, Kyle R Jenks and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
83%Must read
?Must readVote to see the score

FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts

FLUX uses geometry-aware flow matching with mixture-of-experts to reconstruct longitudinal transport and discover latent regimes from unpaired biological snapshots.

Josue Ortega Caro, Yongxu Zhang, Hannah M Batchelor, Sizhuang He and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
70%Highly rated
?Highly ratedVote to see the score

Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design

A retinal model with a novel opsin layer simulates color vision evolution and optimizes task-specific camera spectral filters via mutation-driven adaptation.

Yijie Lu, Zhimin Zong, Junjie Zhang, Shenghan Su and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
5/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 0/5
88%Must read
?Must readVote to see the score

A simple model of co-emergence of grid and place fields

A single sensory-prediction recurrent network with Dale's Law co-emerges grid and place cells without supervision, reproducing key spatial coding phenomena.

Zhaoze Wang, Genela Morris, Dori Derdikman, Pratik Chaudhari and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5