Flexible Control of Mutual Inhibition: A Neural Model of Two-Interval Discrimination

@article{Machens2005FlexibleCO,
  title={Flexible Control of Mutual Inhibition: A Neural Model of Two-Interval Discrimination},
  author={Christian K. Machens and Ranulfo Romo and Carlos D. Brody},
  journal={Science},
  year={2005},
  volume={307},
  pages={1121 - 1124}
}
Networks adapt to environmental demands by switching between distinct dynamical behaviors. The activity of frontal-lobe neurons during two-interval discrimination tasks is an example of these adaptable dynamics. Subjects first perceive a stimulus, then hold it in working memory, and finally make a decision by comparing it with a second stimulus. We present a simple mutual-inhibition network model that captures all three task phases within a single framework. The model integrates both working… 
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References

SHOWING 1-10 OF 78 REFERENCES
A recurrent network model of somatosensory parametric working memory in the prefrontal cortex.
TLDR
A recurrent cortical network model of irregularly spiking neurons that was designed to simulate a somatosensory working memory experiment with behaving monkeys is presented and it is shown that fine-tuning mathematically corresponds to a precise alignment of cusps in the bifurcation diagram of the network.
A Model That Accounts for Activity in Primate Frontal Cortex during a Delayed Matching-to-Sample Task
TLDR
A fully recurrent neural network model was optimized to perform a spatial delayed matching-to-sample task (DMS) and compared the model with single-neuron recordings from premotor and prefrontal cortex, finding that both regions contain neurons that behave like the comparator units of the model and appear to have dual functionality similar to that observed in the model units.
Stability of the Memory of Eye Position in a Recurrent Network of Conductance-Based Model Neurons
TLDR
This work has reproduced persistent neural firing in a premotor area that is responsible for holding the eyes still during fixation in a biophysically plausible network model, and found that a relatively long synaptic time constant improves the robustness to mistuning.
Probabilistic Decision Making by Slow Reverberation in Cortical Circuits
TLDR
It is suggested that recurrent excitation mediated by NMDA receptors provides a candidate cellular mechanism for the slow time integration of sensory stimuli and the formation of categorical choices in a decision-making neocortical network.
Model for a robust neural integrator
TLDR
Two specific mechanisms of bistability are analyzed, one based on local recurrent excitation, and the other on the voltage-dependence of the NMDA (N-methyl-D-aspartate) channel.
Temporal Evolution of a Decision-Making Process in Medial Premotor Cortex
TLDR
Recorded the activity of single neurons in medial premotor cortex and found that their responses correlate with the diverse stages of the discrimination process, reflecting the temporal evolution of the decision-making process leading to action selection during this perceptual task.
Cognitive neuroscience: Flutter Discrimination: neural codes, perception, memory and decision making
TLDR
Observations in visual tasks indicate that decisions emerge from highly-distributed processes in which the details of a scheduled motor plan are gradually specified by sensory information.
Background Synaptic Activity as a Switch Between Dynamical States in a Network
  • E. Salinas
  • Computer Science, Medicine
    Neural Computation
  • 2003
TLDR
It is shown that networks of neurons have a built-in capacity to switch between two types of dynamic state: one in which activity is low and approximately equal for all units, and another in which different activity distributions are possible and may even change dynamically.
Temporal integration by calcium dynamics in a model neuron
TLDR
Calcium dynamics in single neurons could be the physiological basis of the graded persistent activity and temporal integration observed in neurons during analog memory tasks.
Neuronal correlates of parametric working memory in the prefrontal cortex
TLDR
It is predicted that other behavioural tasks that require ordinal comparisons between scalar analogue stimuli would give rise to monotonic responses similar to those reported here.
...
1
2
3
4
5
...