LCN Seminar: Dynamics of structured random neural networks
Event details
| Date | 18.11.2014 |
| Hour | 10:30 |
| Speaker | Yonatan ALJADEFF; Computational Neurobiology Laboratory, The Salk Institute, California |
| Location | |
| Category | Conferences - Seminars |
Recently we showed that neural networks with cell-type-specific connectivity statistics exhibit a phase transition between silent and chaotic activity; and that in the chaotic regime these networks can sustain multiple global dynamic modes.
I will present these results and discuss new directions:
1. When the connectivity is defined to obey Dale's law, the dynamics depend explicitly on N. Requiring that nothing dramatic happens as N grows gives a set of second order balance conditions analogous to the balance of excitation and inhibition.
2. The critical point is derived for a generalized network with a synapse specific gain function g(i,j). Giveng we predict the network's leading principal components in the space of individual neurons' autocorrelation functions, thereby providing a direct link between the network's structure and some of its functional characteristics.
I will present these results and discuss new directions:
1. When the connectivity is defined to obey Dale's law, the dynamics depend explicitly on N. Requiring that nothing dramatic happens as N grows gives a set of second order balance conditions analogous to the balance of excitation and inhibition.
2. The critical point is derived for a generalized network with a synapse specific gain function g(i,j). Giveng we predict the network's leading principal components in the space of individual neurons' autocorrelation functions, thereby providing a direct link between the network's structure and some of its functional characteristics.
Links
Practical information
- Informed public
- Free
Organizer
- Prof. Wulfram GERSTNER
Contact
- Chantal Mellier