Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each one is the result of many months of research, so we make a special effort to make our papers clear, inspiring and beautiful, and publish them in leading journals.
- Date
- Subject
- Theme
- Journal
- Citations
- Altmetric
- SNIP
- Author
- A. Stepanenko
- T. Fink
- E. Sobko
- O. Gamayun
- A. Esterov
- Y. He
- F. Sheldon
- A. V. Kosyak
- A. Ochirov
- M. Burtsev
- M. Reeves
- I. Shkredov
- G. Caldarelli
- R. Hannam
- F. Caravelli
- A. Coolen
- O. Dahlsten
- A. Mozeika
- M. Bardoscia
- P. Barucca
- M. Rowley
- I. Teimouri
- F. Antenucci
- A. Scala
- R. Farr
- A. Zegarac
- S. Sebastio
- B. Bollobás
- F. Lafond
- D. Farmer
- C. Pickard
- T. Reeves
- J. Blundell
- A. Gallagher
- M. Przykucki
- P. Smith
- L. Pietronero
Neurocomputing
Spiky backpropagation
The training algorithm for digital neural networks is adapted and implemented entirely on an experimental chip inspired by brain physiology.
Statistical physics
Kauffman cracked
Surprisingly, the number of attractors in the critical Kauffman model with connectivity one grows exponentially with the size of the network.
Statistical physics
Landau meets Kauffman
Insights from number theory suggest a new way to solve the critical Kauffman model, giving new bounds on the number and length of attractors.
Synthetic biology
Cell soup in screens
Bursting cells can introduce noise in transcription factor screens, but modelling this process allows us to discern true counts from false.
Neurocomputing
Optimal electronic reservoirs
Balancing memory from linear components with nonlinearities from memristors optimises the computational capacity of electronic reservoirs.
Neurocomputing
Breaking classical barriers
Circuits of memristors, resistors with memory, can exhibit instabilities which allow classical tunnelling through potential energy barriers.