diff --git a/tvb/simulator/monitors.py b/tvb/simulator/monitors.py index ef1e34b58..3dd828367 100644 --- a/tvb/simulator/monitors.py +++ b/tvb/simulator/monitors.py @@ -438,15 +438,10 @@ def config_for_sim(self, simulator): super(Projection, self).config_for_sim(simulator) self._sim = simulator - if hasattr(self, 'sensors'): self.sensors.configure() # handle region vs simulation, analytic vs numerical proj, cortical vs subcortical. - - if hasattr(self, 'sensors'): - self.sensors.configure() - # setup convenient locals surf = simulator.surface conn = simulator.connectivity @@ -747,8 +742,8 @@ class Bold(Monitor): Base class for the Bold monitor. **Attributes** - - hrf_kernel: the haemodynamic response function (HRF) used to compute + + hrf_kernel: the haemodynamic response function (HRF) used to compute the BOLD (Blood Oxygenation Level Dependent) signal. length : duration of the hrf in seconds. @@ -756,17 +751,17 @@ class Bold(Monitor): period : the monitor's period **References**: - - .. [B_1997] Buxton, R. and Frank, L., *A Model for the Coupling between + + .. [B_1997] Buxton, R. and Frank, L., *A Model for the Coupling between Cerebral Blood Flow and Oxygen Metabolism During Neural Stimulation*, 17:64-72, 1997. .. [Fr_2000] Friston, K., Mechelli, A., Turner, R., and Price, C., *Nonlinear - Responses in fMRI: The Balloon Model, Volterra Kernels, and Other + Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics*, NeuroImage, 12, 466 - 477, 2000. .. [Bo_1996] Geoffrey M. Boynton, Stephen A. Engel, Gary H. Glover and David - J. Heeger (1996). Linear Systems Analysis of Functional Magnetic Resonance + J. Heeger (1996). Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1. J Neurosci 16: 4207-4221 .. [Po_2000] Alex Polonsky, Randolph Blake, Jochen Braun and David J. Heeger @@ -788,7 +783,7 @@ class Bold(Monitor): label = "Sampling period (ms)", default = 2000.0, doc = """For the BOLD monitor, sampling period in milliseconds must be - an integral multiple of 500. Typical measurment interval (repetition + an integral multiple of 500. Typical measurment interval (repetition time TR) is between 1-3 s. If TR is 2s, then Bold period is 2000ms.""") hrf_kernel = equations.HRFKernelEquation( @@ -796,7 +791,7 @@ class Bold(Monitor): default = equations.FirstOrderVolterra, required = True, doc = """A tvb.datatypes.equation object which describe the haemodynamic - response function used to compute the BOLD signal.""") + response function used to compute the BOLD signal.""") hrf_length = basic.Float( label = "Duration (ms)", @@ -875,11 +870,11 @@ def sample(self, step, state): class BoldRegionROI(Bold): """ - The BoldRegionROI monitor assumes that it is being used on a surface and + The BoldRegionROI monitor assumes that it is being used on a surface and uses the region mapping of the surface to generate regional signals which - are the spatial average of all vertices in the region. + are the spatial average of all vertices in the region. - This was originated to compare the results of a Bold monitor with a + This was originated to compare the results of a Bold monitor with a region level simulation with that of an otherwise identical surface simulation.