Matthew G. Perich

14 papers A* 4Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	JEDI: Jointly Embedded Inference of Neural Dynamics. CoRR Anirudh Jamkhandi, Ali Korojy, Olivier Codol, Guillaume Lajoie, Matthew G. Perich
2025	A*	`conf`	Expressivity of Neural Networks with Random Weights and Learned Biases. ICLR Ezekiel Williams, Alexandre Payeur, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Matthew G. Perich, Luca Mazzucato, Guillaume Lajoie
2025	J	`jnl`	Generalizable, real-time neural decoding with hybrid state-space models. CoRR Avery Hee-Woon Ryoo, Nanda H. Krishna, Ximeng Mao, Mehdi Azabou, Eva L. Dyer, Matthew G. Perich, Guillaume Lajoie
2025	J	`jnl`	POCO: Scalable Neural Forecasting through Population Conditioning. CoRR Yu Duan, Hamza Tahir Chaudhry, Misha B. Ahrens, Christopher D. Harvey, Matthew G. Perich, Karl Deisseroth, Kanaka Rajan
2024	J	`jnl`	Expressivity of Neural Networks with Random Weights and Learned Biases. CoRR Ezekiel Williams, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Alexandre Payeur, Matthew G. Perich, Luca Mazzucato, Guillaume Lajoie
2023	A*	`conf`	A Unified, Scalable Framework for Neural Population Decoding. NeurIPS Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer
2023	J	`jnl`	A Unified, Scalable Framework for Neural Population Decoding. CoRR Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael J. Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer
2022	—	`conf`	Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles. NeurReps Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2022	J	`jnl`	Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles. CoRR Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2022	A*	`conf`	Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation. ICML Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2022	J	`jnl`	Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation. CoRR Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2021	A*	`conf`	Targeted Neural Dynamical Modeling. NeurIPS Cole L. Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2018	J	`jnl`	Linear-nonlinear-time-warp-poisson models of neural activity. J. Comput. Neurosci. Patrick N. Lawlor, Matthew G. Perich, Lee E. Miller, Konrad P. Körding
2017	J	`jnl`	Machine learning for neural decoding. CoRR Joshua I. Glaser, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Körding