Transcript Assessing the Computational Capacity of Functionally

Assessing the Computational Capacity
of Functionally-Defined Networks
Anthony Randal McIntosh
The Rotman
Research Institute
Rolf Kötter
Computational Systems Neuroscience Group
C. &. O. Vogt Brain Research Institute
Network Participation Indices
(NPI) &
Regional Maps
•
Density
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–
•
Transmission
–
–
–
•
Proportion of existing connections
(afferent and efferent) relative to the
number of all potential connections
1.0 high density
Proportion of outputs relative to the
number of existing inputs and outputs
Outdegree & indegree in graph theory
T >0.5 more efferents, T<0.5 more
afferents
Symmetry
–
–
Proportion of reciprocal connections
relative to existing reciprocal and
unidirectional connections
S >0.5 more reciprocal, S <0.5 more
asymmetric
Kötter & Stephan, Neural Net, 2003
Kötter & Wanke, Phil Trans R Soc B 2005
RM entire
matrix
V1
PFCPOL
PMCVL
PFCM
VACD
PFCDM
VACV
IA
TCPOL
S2
PCM
FEF
PCS
V2
CCS
TCI
M1
PMCDL TCV
IP
PHC
CCACCP
PMCM
PFCORB
PCI PFCDL
PFCVL
TCS
PCIP
S1
PFCCL
TCC
CCR
A2
Density
Symmetry
ThalAM
A1
Pulvinar
Transmission
STRESS=0.092
Awareness & Medial Temporal Lobe
Functional Connectivity
McIntosh, Rajah & Lobaugh, J Neurosci, 2003
Behavior
Seed
Unaware
Behavior
Seed
Aware
Aware
PFCPOL
STRESS=0.076
VACV
PMCVL
PFCVL
PFCORB
CCP
Density
PFCCL
CCA
PHC
V1
Single Primary Cluster
VACD
TCPOL
PCIP
TCC PCI
TCS
Significant regions show
increase in density and
transmission:
TC
V1 (transmission greater)
VACv
PHC
PFCpol (symmetry)
TCI
Symmetry
V2
M1
CCS
S1
Transmission
V1
Unaware
STRESS=0.053
PFCVL
PFCORB
PHC
Density
PFCCL
TCS
TCC
CCP
Symmetry
TCPOL
PFCM
Two Clusters based on density
V1 isolation (no intermediate VA
areas)
IA
PCI
TCI
Higher density:
PFCm
PFCorb
PHC
Reduced Transmission:
PFCvl
TCs
Transmission
A2
PMCVL