Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010)

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Accession:144027
"... The network simulations were also based on a previously published model(Latham et al. 2000), but with modifications to allow the addition and detection of extra spikes (see Supplementary Information, section 7)."
Reference:
1 . London M, Roth A, Beeren L, Häusser M, Latham PE (2010) Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature 466:123-7 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program;
Model Concept(s): Activity Patterns;
Implementer(s):
# ---miscellaneous
-frac_inh	0.2
-neurons	10000
-axons_e        2500 2500
-axons_i        2500 2500
-display	0 2 8000
-seed		1

# ---basic time parameters, including time constants.
-dt		0.5
-tmin		0
-tmax		3
-tau		10 10
-tau_s		3 3

# ---voltages
-ureverse	0.0 -80
-v_r		-65
-v_t		-50

# ---nonlinearity
#-rho		.01 .01
#-imax		2.0 2.0
#-ihat		24 24
#-deltai	8 8

# ---current distribution
-ia_mean	1.5	3.75	3.0
-ia_sd		0.5	1.0	100.0
-ia_min		-10	-10	0.5
-ia_max		10	10	5.00
-ia_p		0.75	0.25	-1.0

# ---random component of weights
-epsp		+0.48 +1.10
-ipsp		-1.5  -1.5
-dw		0.25

# ---memories
-no_mem		50
-zap		3.14159
-dzap		0.1
-psprange	0.0 2.3
-f		0.1
-norm		1
-nu_zap		600 600
-t_zap		1 1.1
-t_dzap		2 2.1
-eps		.06
-whozap		50

# ---extra spike
-t_extra	0.5
-j_extra	0

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