Fig. 3.

Predictive power of neural activity from averaged transfer functions for CMR_O2 (h_CMRO2) and CBF (h_CBF) derived, respectively, from MUA and LFP as the inputs. Neural response was predicted by the Wiener deconvolution algorithm (SI Materials and Methods) using the average of transfer functions obtained across layers for a given modality. (A) Comparison of measured and predicted MUA responses from cortical lamina by using the average h_CMRO2. (B) Comparison of measured and predicted LFP responses from cortical lamina by using the average h_CBF. The predictive power of neural responses was based on a residual analysis (SI Materials and Methods), which was based on the difference between predicted and measured neural responses. Fig. S4 and Table S4 give details on predictive powers of all other transfer functions.