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Population Transformer: Learning Population-level Representations of Neural Activity
v1v2v3v4 (latest)

Population Transformer: Learning Population-level Representations of Neural Activity

5 June 2024
Geeling Chau
Christopher Wang
Sabera Talukder
Vighnesh Subramaniam
Saraswati Soedarmadji
Yisong Yue
Boris Katz
Andrei Barbu
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Population Transformer: Learning Population-level Representations of Neural Activity"

10 / 10 papers shown
Title
Learning Time-Scale Invariant Population-Level Neural Representations
Learning Time-Scale Invariant Population-Level Neural Representations
Eshani Patel
Yisong Yue
Geeling Chau
AI4TS
64
0
0
17 Nov 2025
Learning the relative composition of EEG signals using pairwise relative shift pretraining
Learning the relative composition of EEG signals using pairwise relative shift pretraining
Christopher Sandino
S. Lala
Geeling Chau
M. Ayoughi
Behrooz Mahasseni
Ellen L. Zippi
Ali Moin
Erdrin Azemi
Hanlin Goh
SSL
314
0
0
14 Nov 2025
Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
Sina Javadzadeh
Rahil Soroushmojdehi
S. Alireza Seyyed Mousavi
Mehrnaz Asadi
Sumiko Abe
Terence D. Sanger
81
0
0
31 Oct 2025
LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
Berkay Döner
T. Ingolfsson
Luca Benini
Yawei Li
87
3
0
25 Oct 2025
Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli
Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli
Andrii Zahorodnii
Christopher Wang
Bennett Stankovits
Charikleia Moraitaki
Geeling Chau
Andrei Barbu
Boris Katz
Ila R. Fiete
60
1
0
25 Sep 2025
POCO: Scalable Neural Forecasting through Population Conditioning
POCO: Scalable Neural Forecasting through Population Conditioning
Yu Duan
Hamza Tahir Chaudhry
Misha B. Ahrens
Christopher D Harvey
Matthew G Perich
Karl Deisseroth
Kanaka Rajan
AI4CE
157
2
0
17 Jun 2025
DIVER-0 : A Fully Channel Equivariant EEG Foundation Model
DIVER-0 : A Fully Channel Equivariant EEG Foundation Model
Danny Dongyeop Han
Ahhyun Lucy Lee
Taeyang Lee
Yonghyeon Gwon
Sebin Lee
Seongjin Lee
David K. Park
Shinjae Yoo
Jiook Cha
Chun Kee Chung
57
0
0
13 Jun 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
482
29
0
03 Jan 2025
Unsupervised discovery of the shared and private geometry in multi-view data
Unsupervised discovery of the shared and private geometry in multi-view data
Sai Koukuntla
Joshua B. Julian
Jesse C. Kaminsky
Manuel Schottdorf
David W. Tank
C. Brody
Adam S. Charles
325
5
0
22 Aug 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from
  Intracranial Neural signals
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signalsNeural Information Processing Systems (NeurIPS), 2024
Hui Zheng
Haiteng Wang
Wei-Bang Jiang
Zhongtao Chen
Li He
Pei-Yang Lin
Peng-Hu Wei
Guo-Guang Zhao
Yun-Zhe Liu
165
6
0
19 May 2024
1