scholarly journals The same neurons form a visual place code and an auditory rate code in the primate SC

2010 ◽  
Vol 4 ◽  
Author(s):  
Groh Jennifer
Keyword(s):  
2017 ◽  
Vol 35 (1) ◽  
pp. 77-93 ◽  
Author(s):  
Marilyn G. Boltz

Although the visual modality often dominates the auditory one, one exception occurs in the presence of tempo discrepancies between the two perceptual systems: variations in auditory rate typically have a greater influence on perceived visual rate than vice versa. This phenomenon, termed “auditory driving,” is investigated here through certain techniques used in cinematic art. Experiments 1 and 2 relied on montages (slideshows) of still photos accompanied by musical selections in which the perceived rate of one modality was assessed through a recognition task while the rate of the other modality was systematically varied. A similar methodological strategy was used in Experiments 3 and 4 in which film excerpts of various moving objects were accompanied by the sounds they typically produce. In both cases, auditory dominance was observed, which has implications at both a theoretical and applied level.


2021 ◽  
Author(s):  
Erik J. Peterson ◽  
Bradley Voytek

AbstractNeural oscillations are one of the most well-known macroscopic phenomena observed in the nervous system, and the benefits of oscillatory coding have been the topic of frequent analysis. Many of these studies focused on communication between populations which were already oscillating, and sought to understand how synchrony and communication interact. In this paper, take an alternative approach. We focus on measuring the costs, and benefits, of moving to an from an aperiodic code to a rhythmic one. We utilize a Linear-Nonlinear Poisson model, and assume a rate code. We report that no one factor seems to predict the costs, or benefits, of translating into a rhythmic code. Instead the synaptic connection type, strength, population size, and stimulus and oscillation firing rates interact in nonlinear ways. We suggest a number of experiments that might be used to confirm these predictions.Author summaryIt’s good to oscillate, sometimes.


2016 ◽  
Vol 216 ◽  
pp. 756-762 ◽  
Author(s):  
Agnieszka Pregowska ◽  
Janusz Szczepanski ◽  
Eligiusz Wajnryb

2019 ◽  
Vol 15 (12) ◽  
pp. e1007545
Author(s):  
Tomas Barta ◽  
Lubomir Kostal

1978 ◽  
Vol 41 (2) ◽  
pp. 338-349 ◽  
Author(s):  
R. C. Schreiner ◽  
G. K. Essick ◽  
B. L. Whitsel

1. The present study is based on the demonstration (8, 9) that the relationship between mean interval (MI) and standard deviation (SD) for stimulus-driven activity recorded from SI neurons is well fitted by the linear equation SD = a X MI + b and on the observations that the values of the slope (a) and y intercept (b) parameters of this relationship are independent of stimulus conditions and may vary widely from one neuron to the next (8). 2. A criterion for the discriminability of two different mean firing rates requiring that the mean intervals of their respective interspike interval (ISI) distributions be separated by a fixed interval (expressed in SD units) is developed and, on the basis of this criterion, a graphical display of the capacity of a neuron with a known SD-MI relationship to reflect a change in stimulus conditions with a change in mean firing rate is derived. Using this graphical approach, it is shown that the parameters of the SD-MI relationship for a single neuron determine a range of firing frequencies, within which that neuron exhibits the greatest capacity to signal differences in stimulus conditions using a frequency code. 3. The discrimination criterion is modified to incorporate the changes in the symmetry of the ISI distribution observed to accompany changes in mean firing rate. It is shown that, although the observed symmetry changes do influence the capacity of a cortical neuron to signal a change in stimulus conditions with a change in mean firing rate, they do not alter the range of firing rates (determined by the parameters of the SD-MI relationship) within which the capacity for discrimination is maximal. 4. The maximal number of firing levels that can be distinguished by a somatosensory cortical neuron (using the same discrimination criterion described above) discharging within a specified range of mean frequencies also is demonstrated to depend on the parameters of the linear equation which relates SD to MI. 5. Two approaches based on the t test for differences between two means are developed in an attempt to ascertain the minimum separation of the mean intervals of the ISI distributions necessary for two different mean firing rates to be discriminated with 80% certainty.


1984 ◽  
Vol 20 (5) ◽  
pp. 709-714 ◽  
Author(s):  
G. Jacoby ◽  
R. Kost
Keyword(s):  

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