Danyal Akarca

According to our database, Danyal Akarca authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks.

Jatin Sharma, Dan F. M. Goodman, Danyal Akarca

CoRR, May, 2026

The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing.

Guillhem Artis, Danyal Akarca, Jascha Achterberg

CoRR, April, 2026

Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs.

Tom Yates, Yuzhou Cheng, Ignacio Alzugaray, Danyal Akarca, Pedro A. M. Mediano, Andrew J. Davison

CoRR, January, 2026

Organizing across disciplines to tackle shared computational challenges.

Wojtek Treyde, Aleksy Kwiatkowski, Jascha Achterberg, Danyal Akarca, Martin Buttenschoen, Rory T. Byrne, Kieran Didi, Kristina Kordova, Jakub Lála, Jonathon Langford, Austin M. Mroz, Puria Radmard, Filip T. Szczypinski, Eva Sevenster, Inga Van den Bossche, Michal Wójcik

Patterns, 2026

2025

Self-motion as a structural prior for coherent and robust formation of cognitive maps.

Yingchao Yu, Pengfei Sun, Yaochu Jin, Kuangrong Hao, Hao Zhang, Yifeng Zhang, Wenxuan Pan, Wei Chen, Danyal Akarca, Yuchen Xiao

CoRR, December, 2025

Algorithm-hardware co-design of neuromorphic networks with dual memory pathways.

Pengfei Sun, Zhe Su, Jascha Achterberg, Giacomo Indiveri, Dan F. M. Goodman, Danyal Akarca

CoRR, December, 2025

Space as Time Through Neuron Position Learning.

Balázs Mészáros, James C. Knight, Danyal Akarca, Thomas Nowotny

CoRR, November, 2025

Exploiting heterogeneous delays for efficient computation in low-bit neural networks.

Pengfei Sun, Jascha Achterberg, Zhe Su, Dan F. M. Goodman, Danyal Akarca

CoRR, October, 2025

Brain-Like Processing Pathways Form in Models With Heterogeneous Experts.

Jack Cook, Danyal Akarca, Rui Ponte Costa, Jascha Achterberg

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Spatial embedding promotes a specific form of modularity with low entropy and heterogeneous spectral dynamics.

Cornelia Sheeran, Andrew S. Ham, Duncan E. Astle, Jascha Achterberg, Danyal Akarca

CoRR, 2024

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience.

Zhonghao He, Jascha Achterberg, Katie Collins, Kevin K. Nejad, Danyal Akarca, Yinzhu Yang, Wes Gurnee, Ilia Sucholutsky, Yuhan Tang, Rebeca Ianov, George Ogden, Chole Li, Kai Sandbrink, Stephen Casper, Anna Ivanova, Grace W. Lindsay

CoRR, 2024

2023

Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings.

Jascha Achterberg, Danyal Akarca, D. J. Strouse, John Duncan, Duncan E. Astle

Nat. Mac. Intell., December, 2023

Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture.

Jascha Achterberg, Danyal Akarca, Moataz Assem, Moritz P. Heimbach, Duncan E. Astle, John Duncan

CoRR, 2023

2019

Blockchain Secured Electronic Health Records: Patient Rights, Privacy and Cybersecurity.

Danyal Akarca, Philip Y. Xiu, Dave Ebbitt, B. Mustafa, Hasan Al-Ramadhani, Abdullah Albeyatti

Proceedings of the 10th International Conference on Dependable Systems, 2019