scholarly journals Idiosyncratic choice bias naturally emerges from intrinsic stochasticity in neuronal dynamics

2019 ◽  
Vol 3 (11) ◽  
pp. 1190-1202 ◽  
Author(s):  
Lior Lebovich ◽  
Ran Darshan ◽  
Yoni Lavi ◽  
David Hansel ◽  
Yonatan Loewenstein
2019 ◽  
Vol 3 (12) ◽  
pp. 1345-1345
Author(s):  
Lior Lebovich ◽  
Ran Darshan ◽  
Yoni Lavi ◽  
David Hansel ◽  
Yonatan Loewenstein

2018 ◽  
Author(s):  
Lior Lebovich ◽  
Ran Darshan ◽  
Yoni Lavi ◽  
David Hansel ◽  
Yonatan Loewenstein

Idiosyncratic tendency to choose one alternative over others in the absence of an identified reason is a common observation in two-alternative forced-choice experiments. It is tempting to account for it as resulting from the (unknown) participant-specific history and thus treat it as a measurement noise. Here we quantify idiosyncratic choice biases in a perceptual discrimination task and a motor task. We report substantial and significant biases in both cases that cannot be accounted for by the experimental context. Then, we present theoretical evidence that even in idealized experiments, in which the settings are symmetric, idiosyncratic choice bias is expected to emerge from the dynamics of competing neuronal networks. We thus argue that idiosyncratic choice bias reflects the microscopic dynamics of choice and therefore is virtually inevitable in any comparison or decision task.


Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 155
Author(s):  
Bruno Cessac ◽  
Ignacio Ampuero ◽  
Rodrigo Cofré

We establish a general linear response relation for spiking neuronal networks, based on chains with unbounded memory. This relation allow us to predict the influence of a weak amplitude time dependent external stimuli on spatio-temporal spike correlations, from the spontaneous statistics (without stimulus) in a general context where the memory in spike dynamics can extend arbitrarily far in the past. Using this approach, we show how the linear response is explicitly related to the collective effect of the stimuli, intrinsic neuronal dynamics, and network connectivity on spike train statistics. We illustrate our results with numerical simulations performed over a discrete time integrate and fire model.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 55871-55878
Author(s):  
Yoshinori Sunaga ◽  
Yasumi Ohta ◽  
Takaaki E Murakami ◽  
Yasemin M. Akay ◽  
Jun Ohta ◽  
...  

1989 ◽  
Vol 1 (3) ◽  
pp. 201-222 ◽  
Author(s):  
Adam N. Mamelak ◽  
J. Allan Hobson

Bizarreness is a cognitive feature common to REM sleep dreams, which can be easily measured. Because bizarreness is highly specific to dreaming, we propose that it is most likely brought about by changes in neuronal activity that are specific to REM sleep. At the level of the dream plot, bizarreness can be defined as either discontinuity or incongruity. In addition, the dreamer's thoughts about the plot may be logically deficient. We propose that dream bizarreness is the cognitive concomitant of two kinds of changes in neuronal dynamics during REM sleep. One is the disinhibition of forebrain networks caused by the withdrawal of the modulatory influences of norepinephrine (NE) and serotonin (5HT) in REM sleep, secondary to cessation of firing of locus coeruleus and dorsal raphe neurons. This aminergic demodulation can be mathematically modeled as a shift toward increased error at the outputs from neural networks, and these errors might be represented cognitively as incongruities and/or discontinuities. We also consider the possibility that discontinuities are the cognitive concomitant of sudden bifurcations or “jumps” in the responses of forebrain neuronal networks. These bifurcations are caused by phasic discharge of pontogeniculooccipital (PGO) neurons during REM sleep, providing a source of cholinergic modulation to the forebrain which could evoke unpredictable network responses. When phasic PGO activity stops, the resultant activity in the brain may be wholly unrelated to patterns of activity dominant before such phasic stimulation began. Mathematically such sudden shifts from one pattern of activity to a second, unrelated one is called a bifurcation. We propose that the neuronal bifurcations brought about by PGO activity might be represented cognitively as bizarre discontinuities of dream plot. We regard these proposals as preliminary attempts to model the relationship between dream cognition and REM sleep neurophysiology. This neurophysiological model of dream bizarreness may also prove useful in understanding the contributions of REM sleep to the developmental and experiential plasticity of the cerebral cortex.


2010 ◽  
Vol 11 (S1) ◽  
Author(s):  
Ghanim Ullah ◽  
Steven J Schiff
Keyword(s):  

2011 ◽  
Vol 74 (4) ◽  
pp. 769-802 ◽  
Author(s):  
R. E. Lee DeVille ◽  
Charles S. Peskin

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