---
res:
bibo_abstract:
- 'Ising models with pairwise interactions are the least structured, or maximum-entropy,
probability distributions that exactly reproduce measured pairwise correlations
between spins. Here we use this equivalence to construct Ising models that describe
the correlated spiking activity of populations of 40 neurons in the salamander
retina responding to natural movies. We show that pairwise interactions between
neurons account for observed higher-order correlations, and that for groups of
10 or more neurons pairwise interactions can no longer be regarded as small perturbations
in an independent system. We then construct network ensembles that generalize
the network instances observed in the experiment, and study their thermodynamic
behavior and coding capacity. Based on this construction, we can also create synthetic
networks of 120 neurons, and find that with increasing size the networks operate
closer to a critical point and start exhibiting collective behaviors reminiscent
of spin glasses. We examine closely two such behaviors that could be relevant
for neural code: tuning of the network to the critical point to maximize the ability
to encode diverse stimuli, and using the metastable states of the Ising Hamiltonian
as neural code words.@eng'
bibo_authorlist:
- foaf_Person:
foaf_givenName: Gasper
foaf_name: Gasper Tkacik
foaf_surname: Tkacik
foaf_workInfoHomepage: http://www.librecat.org/personId=3D494DCA-F248-11E8-B48F-1D18A9856A87
orcid: 0000-0002-6699-1455
- foaf_Person:
foaf_givenName: Elad
foaf_name: Schneidman, Elad
foaf_surname: Schneidman
- foaf_Person:
foaf_givenName: Michael
foaf_name: Berry, Michael J
foaf_surname: Berry
- foaf_Person:
foaf_givenName: William
foaf_name: Bialek, William S
foaf_surname: Bialek
bibo_volume: q-bio.NC
dct_date: 2009^xs_gYear
dct_publisher: ArXiv@
dct_title: Spin glass models for a network of real neurons@
...