Optimal decision-making requires balancing fast but error-prone and more accurate but slower decisions through adjustments of decision thresholds. Here, we demonstrate two distinct correlates of such speed-accuracy adjustments by recording subthalamic nucleus (STN) activity and electroencephalography in 11 Parkinson's disease patients during a perceptual decision-making task; STN low-frequency oscillatory (LFO) activity (2-8 Hz), coupled to activity at prefrontal electrode Fz, and STN beta activity (13-30 Hz) coupled to electrodes C3/C4 close to motor cortex. These two correlates differed not only in their cortical topography and spectral characteristics but also in the relative timing of recruitment and in their precise relationship with d...
To optimally balance opposing demands of speed and accuracy during decision-making, we must flexibly...
If humans are faced with difficult choices when making decisions, the ability to slow down responses...
Neurocomputational models of optimal decision making ascribe a crucial role-the computation of confl...
Optimal decision-making requires balancing fast but error-prone and more accurate but slower decisio...
Optimal decision-making requires balancing fast but error-prone and more accurate but slower decisio...
To optimally balance opposing demands of speed and accuracy during decision-making, we must flexibly...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
SummaryIf humans are faced with difficult choices when making decisions, the ability to slow down re...
When people make decisions they often face opposing demands for response speed and response accuracy...
Neurocomputational models of optimal decision making ascribe a crucial role - the computation of con...
To optimally balance opposing demands of speed and accuracy during decision-making, we must flexibly...
If humans are faced with difficult choices when making decisions, the ability to slow down responses...
Neurocomputational models of optimal decision making ascribe a crucial role-the computation of confl...
Optimal decision-making requires balancing fast but error-prone and more accurate but slower decisio...
Optimal decision-making requires balancing fast but error-prone and more accurate but slower decisio...
To optimally balance opposing demands of speed and accuracy during decision-making, we must flexibly...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
When people make decisions they often face opposing demands for response speed and response accuracy...
SummaryIf humans are faced with difficult choices when making decisions, the ability to slow down re...
When people make decisions they often face opposing demands for response speed and response accuracy...
Neurocomputational models of optimal decision making ascribe a crucial role - the computation of con...
To optimally balance opposing demands of speed and accuracy during decision-making, we must flexibly...
If humans are faced with difficult choices when making decisions, the ability to slow down responses...
Neurocomputational models of optimal decision making ascribe a crucial role-the computation of confl...