Matthew G. Perich

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Action Potentials

Spiking Neurons

Top Venues

J. Comput. Neurosci.

Publications

Ezekiel Williams, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Alexandre Payeur, Matthew G. Perich, Luca Mazzucato, Guillaume Lajoie
Expressivity of Neural Networks with Random Weights and Learned Biases. CoRR (2024)
Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer
A Unified, Scalable Framework for Neural Population Decoding. NeurIPS (2023)
Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael J. Mendelson, Blake A. Richards, Matthew G. Perich, Guillaume Lajoie, Eva L. Dyer
A Unified, Scalable Framework for Neural Population Decoding. CoRR (2023)
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles. NeurReps (2022)
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation. ICML (2022)
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles. CoRR (2022)
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation. CoRR (2022)
Cole L. Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Targeted Neural Dynamical Modeling. NeurIPS (2021)
Patrick N. Lawlor, Matthew G. Perich, Lee E. Miller, Konrad P. Körding
Linear-nonlinear-time-warp-poisson models of neural activity. J. Comput. Neurosci. 45 (3) (2018)
Joshua I. Glaser, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Körding
Machine learning for neural decoding. CoRR (2017)