| A unified mathematical framework for coding time, space, and sequences in the hippocampal region MW Howard, CJ MacDonald, Z Tiganj, KH Shankar, Q Du, ME Hasselmo, ... Journal of Neuroscience 34 (13), 4692-4707, 2014 | 215 | 2014 |
| Time cells in hippocampal area CA3 DM Salz, Z Tiganj, S Khasnabish, A Kohley, D Sheehan, MW Howard, ... Journal of Neuroscience 36 (28), 7476-7484, 2016 | 214 | 2016 |
| Sequential firing codes for time in rodent medial prefrontal cortex Z Tiganj, MW Jung, J Kim, MW Howard Cerebral Cortex 27 (12), 5663-5671, 2017 | 111 | 2017 |
| A temporal record of the past with a spectrum of time constants in the monkey entorhinal cortex IM Bright, MLR Meister, NA Cruzado, Z Tiganj, EA Buffalo, MW Howard Proceedings of the National Academy of Sciences 117 (33), 20274-20283, 2020 | 93 | 2020 |
| Compressed timeline of recent experience in monkey lateral prefrontal cortex Z Tiganj, JA Cromer, JE Roy, EK Miller, MW Howard Journal of cognitive neuroscience 30 (7), 935-950, 2018 | 75 | 2018 |
| A simple biophysically plausible model for long time constants in single neurons Z Tiganj, ME Hasselmo, MW Howard Hippocampus 25 (1), 27-37, 2015 | 63 | 2015 |
| A neural microcircuit model for a scalable scale‐invariant representation of time Y Liu, Z Tiganj, ME Hasselmo, MW Howard Hippocampus 29 (3), 260-274, 2019 | 55 | 2019 |
| Conjunctive representation of what and when in monkey hippocampus and lateral prefrontal cortex during an associative memory task NA Cruzado, Z Tiganj, SL Brincat, EK Miller, MW Howard Hippocampus 30 (12), 1332-1346, 2020 | 50 | 2020 |
| An algebraic method for eye blink artifacts detection in single channel EEG recordings Z Tiganj, M Mboup, C Pouzat, L Belkoura 17th International Conference on Biomagnetism Advances in Biomagnetism …, 2010 | 50 | 2010 |
| Is working memory stored along a logarithmic timeline? Converging evidence from neuroscience, behavior and models I Singh, Z Tiganj, MW Howard Neurobiology of learning and memory 153, 104-110, 2018 | 22 | 2018 |
| Evidence accumulation in a Laplace domain decision space MW Howard, A Luzardo, Z Tiganj Computational brain & behavior 1 (3), 237-251, 2018 | 21 | 2018 |
| Estimating scale-invariant future in continuous time Z Tiganj, SJ Gershman, PB Sederberg, MW Howard Neural Computation 31 (4), 681-709, 2019 | 19 | 2019 |
| Scale invariant value computation for reinforcement learning in continuous time Z Tiganj, KH Shankar, MW Howard 2017 AAAI Spring Symposium Series, 2017 | 17 | 2017 |
| A non-parametric method for automatic neural spike clustering based on the non-uniform distribution of the data Z Tiganj, M Mboup Journal of neural engineering 8 (6), 066014, 2011 | 16 | 2011 |
| Spike detection and sorting: Combining algebraic differentiations with ica Z Tiganj, M Mboup International Conference on Independent Component Analysis and Signal …, 2009 | 15 | 2009 |
| Biological conservation law as an emerging functionality in dynamical neuronal networks B Podobnik, M Jusup, Z Tiganj, WX Wang, JM Buldú, HE Stanley Proceedings of the National Academy of Sciences 114 (45), 11826-11831, 2017 | 14 | 2017 |
| Compressed timeline of recent experience in monkey lPFC. bioRxiv, 126219 Z Tiganj, JA Cromer, JE Roy, EK Miller, MW Howard | 11 | 2017 |
| Efficient Neural Computation in the Laplace Domain. MW Howard, KH Shankar, Z Tiganj CoCo@ NIPS, 2015 | 11 | 2015 |
| Neural spike sorting using iterative ICA and a deflation-based approach Z Tiganj, M Mboup Journal of neural engineering 9 (6), 066002, 2012 | 11 | 2012 |
| Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons Z Tiganj, MW Howard, N Cruzado | 9 | 2019 |
