| Activity in perceptual classification networks as a basis for human subjective time perception W Roseboom, Z Fountas, K Nikiforou, D Bhowmik, M Shanahan, AK Seth Nature communications 10 (1), 1-9, 2019 | 9 | 2019 |
| Effect of silica nanoparticles to prevent calcium carbonate scaling using an in situ turbidimetre JYY Al Nasser, W. N., Shah, U. V., Nikiforou, K., Petrou, P., & Heng Chemical Engineering Research and Design 110 (June 2016), 98–107, 2015 | 8* | 2015 |
| Time without clocks: Human time perception based on perceptual classification W Roseboom, Z Fountas, K Nikiforou, D Bhowmik, M Shanahan, AK Seth bioRxiv, 172387, 2018 | 4 | 2018 |
| Perceptual content, not physiological signals, determines perceived duration when viewing dynamic, natural scenes M Suárez-Pinilla, K Nikiforou, Z Fountas, AK Seth, W Roseboom Collabra Psychology 5 (1), 1-16, 2019 | 3 | 2019 |
| An explicitly relational neural network architecture M Shanahan, K Nikiforou, A Creswell, C Kaplanis, D Barrett, M Garnelo arXiv preprint arXiv:1905.10307, 2019 | 2 | 2019 |
| A reservoir computing model of episodic memory D Bhowmik, K Nikiforou, M Shanahan, M Maniadakis, P Trahanias 2016 International Joint Conference on Neural Networks (IJCNN), 5202-5209, 2016 | 2 | 2016 |
| A predictive processing model of episodic memory and time perception Z Fountas, A Sylaidi, K Nikiforou, AK Seth, M Shanahan, W Roseboom bioRxiv, 2020 | | 2020 |
| The dynamics of continuous-time recurrent neural networks and their relevance to episodic memory K Nikiforou Imperial College London, 2019 | | 2019 |
| An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons K Nikiforou, PAM Mediano, M Shanahan Cognitive computation 9 (3), 351-363, 2017 | | 2017 |
| Identifying Information Broadcast in Complex Networks SK Nikiforou, PAM Mediano, M Shanahan | | |
| Identifying information broadcast in modular small-world networks K Nikiforou, PAM Mediano, M Shanahan | | |
| Clockless biologically-plausible architecture for temporal perception using convolutional neural networks Z Fountas, K Nikiforou, D Bhowmik, M Shanahan, W Roseboom, A Seth | | |
