negligible withs<0.2, small withs ranging from 0.2-0.5, medium withsbetween0.5

Valuation of opportunity costs by rats working for rewarding electrical brain stimulation

pulse frequency range price sampling matrix
evidence ratio akaike weight of highest ranked model

1 s price*25 rewards=25 s trial time, 2 s price*25 rewards=50

Self-esteem and subjective well-being revisited: The roles of personal, relational, and collective self-esteem

Vicious circles of gender bias, lower positions, and lower performance: Gender differences in scholarly productivity and impact

Development and evaluation of a training workshop for lay health promoters to implement a community-based intervention program in a public low rent housing estate: The Learning Families Project in Hong Kong

An empirical comparison of different implicit measures to predict consumer choice

The effect of training methodology on knowledge representation in categorization

Is crossed laterality associated with academic achievement and intelligence? A systematic review and meta-analysis

Latching dynamics in neural networks with synaptic depression

larger network whose connectivity matrix

pone.0183710.e003">removedGRAPHIC x - i=1 tau x i (1 - x i) (- μ g -1 x i - I - lambda ∑ j=1
equations<disp formula id="pone.0183710.e004">removedGRAPHIC x - i=1 tau x i (1 - x i) (- μ x i - I - lambda ∑ j=1
follows (102)<disp formula id="pone.0183710.e006">removedGRAPHIC s - i=1
j=1... n without synaptic depression satisfy<disp formula id="pone.0183710.e007
max=∑ k=1 P (ξ i k - p) (ξ j k - p) N p (1
pone.0183710.e008">removedGRAPHIC Ny tau x i (1 - x i) (- μ / Ny x i - I / Ny - lambda / Ny ∑ j=1
form<disp formula id="pone.0183710.e015">removedGRAPHIC σ k=(- 1) ξ k (- μ ξ k - I - lambda ∑ j=1 N ξ j + ∑ j=1
is now<p specific use="continuation">S σ k<0
pone.0183710.e035">removedGRAPHIC rho=tau r U, eta=1
lambda + 2 s 2 σ^1=-I - lambda + s 2 σ^2=I + lambda - (3 - μ) σ^3=-I - lambda + 2 s 2
interval 0.0005<=U<=0.110 we performed 10
parameters I=0.48, lambda=8, μ=1.2, tau r=600
parameters I=0.3, lambda=3.4, μ=3.1, taur=400