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Behavioral/Systems/Cognitive Decision Time, Slow Inhibition, and Theta Rhythm

Summary: Behavioral/Systems/Cognitive
Decision Time, Slow Inhibition, and Theta Rhythm
Anteo Smerieri,1 Edmund T. Rolls,2,3 and Jianfeng Feng4,5
1Department of Physics, Universita` di Parma, 43100 Parma, Italy, 2Oxford Centre for Computational Neuroscience, Oxford OX1 2UD, United
Kingdom, 3Department of Computer Science, University of Warwick, Coventry CV4 7AL, United Kingdom, 4Centre for Computational Systems
Biology, Fudan University, Shanghai 200433, PR China, and 5Centre for Scientific Computing, University of Warwick, Coventry CV4 7AL, United
In this paper, we examine decision making in a spiking neuronal network and show that longer time constants for the inhibitory neurons
firing rate in the population that will win the competition is larger if the time constant of the inhibitory interneurons is increased from 10
is that the decision that will be made can be influenced by the noise-influenced drift of the spontaneous firing rate over many seconds
before the decision cues are applied. The theta rhythm associated with the longer time constant networks mirrors the greater integration
for the effect of slow waves in the theta and delta range on decision times is suggested to be increased neuronal spiking produced by
depolarization of the membrane potential on the positive part of the slow waves when the neuron's membrane potential is close to the
firing threshold.
The functions of both low- and high-frequency oscillations in the


Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra
Feng, Jianfeng - Centre for Scientific Computing and Computer Science, University of Warwick
Rolls, Edmund T. - Department of Experimental Psychology, University of Oxford


Collections: Biology and Medicine; Computer Technologies and Information Sciences