| Re-evaluating circuit mechanisms underlying pattern separation NA Cayco-Gajic, RA Silver Neuron 101 (4), 584-602, 2019 | 203 | 2019 |
| Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks NA Cayco-Gajic, C Clopath, RA Silver Nature communications 8 (1), 1116, 2017 | 138 | 2017 |
| Open source brain: a collaborative resource for visualizing, analyzing, simulating, and developing standardized models of neurons and circuits P Gleeson, M Cantarelli, B Marin, A Quintana, M Earnshaw, S Sadeh, ... Neuron 103 (3), 395-411. e5, 2019 | 86 | 2019 |
| Cerebellar granule cell axons support high-dimensional representations F Lanore, NA Cayco-Gajic, H Gurnani, D Coyle, RA Silver Nature neuroscience 24 (8), 1142-1150, 2021 | 63 | 2021 |
| Triplet correlations among similarly tuned cells impact population coding NA Cayco-Gajic, J Zylberberg, E Shea-Brown Frontiers in computational neuroscience 9, 57, 2015 | 33 | 2015 |
| Neutral stability, rate propagation, and critical branching in feedforward networks NA Cayco-Gajic, E Shea-Brown Neural Computation 25 (7), 1768-1806, 2013 | 11 | 2013 |
| Signatures of task learning in neural representations H Gurnani, NA Cayco Gajic Current Opinion in Neurobiology 83, 102759, 2023 | 8 | 2023 |
| A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data NA Cayco-Gajic, J Zylberberg, E Shea-Brown Entropy 20 (7), 489, 2018 | 7 | 2018 |
| Delving deep into crossmodal integration NA Cayco-Gajic, Y Sweeney The Journal of Neuroscience 38 (29), 6442, 2018 | 6 | 2018 |
| Neuromatch Academy: a 3-week, online summer school in computational neuroscience BM t Hart, T Achakulvisut, A Adeyemi, A Akrami, B Alicea, ... Technological University Dublin, 2022 | 4 | 2022 |
| Disentangling Mixed Classes of Covariability in Large-Scale Neural Data A Pellegrino, H Stein, NA Cayco-Gajic bioRxiv, 2023.03. 01.530616, 2023 | 3 | 2023 |
| Dimensionality reduction beyond neural subspaces with slice tensor component analysis A Pellegrino, H Stein, NA Cayco-Gajic Nature Neuroscience, 1-12, 2024 | 1 | 2024 |
| Low tensor rank learning of neural dynamics A Pellegrino, NA Cayco Gajic, A Chadwick Advances in Neural Information Processing Systems 36, 11674-11702, 2023 | 1 | 2023 |
| The role of gap junctions and clustered connectivity in emergent synchronisation patterns of inhibitory neuronal networks H Todd, A Cayco-Gajic, B Gutkin arXiv preprint arXiv:2402.14592, 2024 | | 2024 |
| Cerebellar interneuron activity is triggered by reach endpoint during learning of a complex locomotor task A Andrianarivelo, H Stein, J Gabillet, C Batifol, A Jalil, NA Cayco Gajic, ... bioRxiv, 2023.10. 10.561690, 2023 | | 2023 |
| Good decisions require more than information NA Cayco-Gajic, J Zylberberg Nature Neuroscience 24 (7), 903-904, 2021 | | 2021 |
| Transformation of population code from dLGN to V1 facilitates linear decoding NA Cayco-Gajic, S Durand, M Buice, R Iyer, C Reid, J Zylberberg, ... bioRxiv, 826750, 2019 | | 2019 |
| Curvature of dendritic nonlinearities modulates higher-order spiking correlations A Cayco-Gajic, J Zylberberg, E Shea-Brown BMC Neuroscience 16 (Suppl 1), P227, 2015 | | 2015 |
| Impact of triplet correlations on neural population codes A Cayco-Gajic, J Zylberberg, E Shea-Brown arXiv preprint arXiv:1412.0363, 2014 | | 2014 |
| Critical dynamics and asynchronous rate propagation in homogenous feedforward networks NA Cayco Gajic, E Shea-Brown Front. Comput. Neurosci. Conference Abstract: Bernstein Conference, 2012 | | 2012 |
