Perich, Matthew G

5 publications

ICLR 2025 Expressivity of Neural Networks with Random Weights and Learned Biases Ezekiel Williams, Alexandre Payeur, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Matthew G Perich, Luca Mazzucato, Guillaume Lajoie

NeurIPS 2025 Generalizable, Real-Time Neural Decoding with Hybrid State-Space Models Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao, Mehdi Azabou, Eva L Dyer, Matthew G Perich, Guillaume Lajoie

NeurIPS 2025 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

ICMLW 2024 Expressivity of Neural Networks with Fixed Weights and Learned Biases Ezekiel Williams, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Alexandre Payeur, Matthew G Perich, Luca Mazzucato, Guillaume Lajoie

NeurIPSW 2022 Capturing Cross-Session Neural Population Variability Through Self-Supervised Identification of Consistent Neuron Ensembles Justin Jude, Matthew G Perich, Lee E. Miller, Matthias H. Hennig