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Publication search results
found 51 matches
- 2024
- Maria V. Kulikova, Gennady Y. Kulikov:
Maximum-correntropy-based sequential method for fast neural population activity reconstruction in the cortex from incomplete abnormally-disturbed noisy measurements. Commun. Nonlinear Sci. Numer. Simul. 139: 108266 (2024) - Daisuke Kawahara, Shigeyoshi Fujisawa:
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity. Neural Comput. 36(3): 385-411 (2024) - Kipp McAdam Freud, Nathan F. Lepora, Matt W. Jones, Cian O'Donnell:
BrainSLAM: SLAM on Neural Population Activity Data. AAMAS 2024: 607-613 - Kipp McAdam Freud, Nathan F. Lepora, Matt W. Jones, Cian O'Donnell:
BrainSLAM: SLAM on Neural Population Activity Data. CoRR abs/2402.00588 (2024) - 2023
- Vaibhav Dhyani, KV Venkatesh, Lopamudra Giri:
Computational Framework for in Silico Analysis of Neural Hyperactivity and Loss of Neural Activity in a Population of Interconnected Neurons. NER 2023: 1-4 - Carolina Urzay, Nauman Ahad, Mehdi Azabou, Aidan Schneider, Geethika Atamkuri, Keith B. Hengen, Eva L. Dyer:
Detecting change points in neural population activity with contrastive metric learning. NER 2023: 1-4 - 2022
- Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Sequential method for fast neural population activity reconstruction in the cortex from incomplete noisy measurements. Comput. Biol. Medicine 141: 105103 (2022) - Rinku Roy, Feng Xu, Derek G. Kamper, Xiaogang Hu:
A generic neural network model to estimate populational neural activity for robust neural decoding. Comput. Biol. Medicine 144: 105359 (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: 10462-10475 - Trung Le, Eli Shlizerman:
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers. NeurIPS 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 abs/2202.06159 (2022) - Trung Le, Eli Shlizerman:
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer. CoRR abs/2206.04727 (2022) - 2021
- Natalie Klein, Joshua H. Siegle, Tobias Teichert, Robert E. Kass:
Cross-population coupling of neural activity based on Gaussian process current source densities. PLoS Comput. Biol. 17(11) (2021) - Timothy D. Kim, Thomas Z. Luo, Jonathan W. Pillow, Carlos D. Brody:
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations. ICML 2021: 5551-5561 - Aleksey V. Daneev, Anatoliy V. Lakeev, Vyacheslav A. Rusanov, Pavel A. Plesnev:
Differential Non-autonomous Representation of the Integrative Activity of a Neural Population by a Bilinear Second-Order Model with Delay. IHIET (Paris) 2021: 191-199 - Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. NeurIPS Datasets and Benchmarks 2021 - Hugo Soulat, Sepiedeh Keshavarzi, Troy W. Margrie, Maneesh Sahani:
Probabilistic Tensor Decomposition of Neural Population Spiking Activity. NeurIPS 2021: 15969-15980 - Joel Ye, Chethan Pandarinath:
Representation learning for neural population activity with Neural Data Transformers. CoRR abs/2108.01210 (2021) - Felix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath:
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity. CoRR abs/2109.04463 (2021) - 2020
- Román Baravalle, Fernando Montani:
Higher-Order Cumulants Drive Neuronal Activity Patterns, Inducing UP-DOWN States in Neural Populations. Entropy 22(4): 477 (2020) - Michael J. Berry II, Gasper Tkacik:
Clustering of Neural Activity: A Design Principle for Population Codes. Frontiers Comput. Neurosci. 14: 20 (2020) - Stephen L. Keeley, Mikio C. Aoi, Yiyi Yu, Spencer L. Smith, Jonathan W. Pillow:
Identifying signal and noise structure in neural population activity with Gaussian process factor models. NeurIPS 2020 - Georgin Jacob, Harish Katti:
Predicting population neural activity in the Algonauts challenge using end-to-end trained Siamese networks and group convolutions. CoRR abs/2001.05841 (2020) - 2019
- Zeeshan Afzal, Muhammad Yousaf Bhatti, Naima Amin, Asif Mushtaq, Chahn Yong Jung:
Effect of Alpha-Type External Input on Annihilation of Self-Sustained Activity in a Two Population Neural Field Model. IEEE Access 7: 108411-108418 (2019) - Zeeshan Afzal, Yongsheng Rao, Yousaf Bhatti, Naima Amin:
Emergence of Persistent Activity States in a Two-Population Neural Field Model for Smooth $\alpha$ -Type External Input. IEEE Access 7: 59081-59090 (2019) - Christophe Gardella, Olivier Marre, Thierry Mora:
Modeling the Correlated Activity of Neural Populations: A Review. Neural Comput. 31(2) (2019) - Agus Hartoyo, Peter J. Cadusch, David T. J. Liley, Damien G. Hicks:
Parameter estimation and identifiability in a neural population model for electro-cortical activity. PLoS Comput. Biol. 15(5) (2019) - 2018
- Matthew R. Whiteway:
A latent variable modeling framework for analyzing neural population activity. University of Maryland, College Park, MD, USA, 2018 - Manuel Molano-Mazon, Arno Onken, Eugenio Piasini, Stefano Panzeri:
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks. ICLR (Poster) 2018 - Manuel Molano-Mazon, Arno Onken, Eugenio Piasini, Stefano Panzeri:
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks. CoRR abs/1803.00338 (2018)
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