Details

Autor(en) / Beteiligte

• Stevenson, Ian H
• London, Brian M
• Oby, Emily R
• Sachs, Nicholas A
• Reimer, Jacob
• Englitz, Bernhard
• David, Stephen V
• Shamma, Shihab A
• Blanche, Timothy J
• Mizuseki, Kenji
• Zandvakili, Amin
• Hatsopoulos, Nicholas G
• Miller, Lee E
• Kording, Konrad P
• Behrens, Tim

Titel

Functional connectivity and tuning curves in populations of simultaneously recorded neurons

Ist Teil von

• PLoS computational biology, 2012-11, Vol.8 (11), p.e1002775-e1002775

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2012

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• How interactions between neurons relate to tuned neural responses is a longstanding question in systems neuroscience. Here we use statistical modeling and simultaneous multi-electrode recordings to explore the relationship between these interactions and tuning curves in six different brain areas. We find that, in most cases, functional interactions between neurons provide an explanation of spiking that complements and, in some cases, surpasses the influence of canonical tuning curves. Modeling functional interactions improves both encoding and decoding accuracy by accounting for noise correlations and features of the external world that tuning curves fail to capture. In cortex, modeling coupling alone allows spikes to be predicted more accurately than tuning curve models based on external variables. These results suggest that statistical models of functional interactions between even relatively small numbers of neurons may provide a useful framework for examining neural coding.