Publications

Full list and metrics on Google Scholar.

2024

A Pellegrino*, H Stein*, NA Cayco-Gajic. Dimensionality reduction beyond neural subspaces with slice tensor component analysis. Nature Neuroscience.

H Todd, NA Cayco-Gajic*, B Gutkin*. The role of gap junctions and clustered connectivity in emergent synchronisation patterns of inhibitory neuronal networks. (preprint on arxiv)

2023

A Pellegrino, NA Cayco-Gajic*, A Chadwick*. Low tensor rank learning of neural dynamics. Advances in Neural Information Processing Systems 37. 

A Andrianarivelo, H Stein, J Gabillet, C Batifol, A Jalil, NA Cayco-Gajic, M Graupner. Cerebellar interneuron activity is triggered by reach endpoint during learning of a complex locomotor task. (preprint on biorxiv)

H Gurnani, NA Cayco-Gajic. Signatures of task learning in neural representations. Current Opinion in Neurobiology 83, 102759. (pdf)

2021

F Lanore*, NA Cayco-Gajic*, H Gurnani, D Coyle, RA Silver. Cerebellar granule cell axons support high-dimensional representations. Nature Neuroscience 24, 1142-1150. (code) (data)

NA Cayco-Gajic, J Zylberberg, E Shea-Brown. Good decisions require more than information. Nature Neuroscience 24, 903-904.

2019

NA Cayco-Gajic, RA Silver. Re-evaluating circuit mechanisms underlying pattern separation. Neuron 101 (4), 584-602.

NA Cayco-Gajic, S Durand, M Buice, R Iyer, C Reid, J Zylberberg, E Shea-Brown. Transformation of population code from dLGN to V1 facilitates linear decoding. (preprint on biorxiv)

P Gleeson et al. Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits. Neuron 103 (3), 395-411.

Before 2019

NA Cayco-Gajic, Y Sweeney. Delving Deep into Crossmodal Integration. The Journal of Neuroscience 38 (29), 6442.

N Cayco-Gajic, J Zylberberg, E Shea-Brown. A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data. Entropy 20 (7), 489. (code)

NA Cayco-Gajic, C Clopath, RA Silver. Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nature communications 8 (1), 1116. (code)

NA Cayco-Gajic, J Zylberberg, E Shea-Brown. Triplet correlations among similarly tuned cells impact population coding. Frontiers in Computational Neuroscience 9, 57.

N Alex Cayco-Gajic, Eric Shea-Brown. Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks. Neural computation 25 (7), 1768-1806.