scholarly journals Neuronal tuning

2015 ◽  
Vol 16 (11) ◽  
pp. 643-643
Author(s):  
Darran Yates
Keyword(s):  
Neuron ◽  
2009 ◽  
Vol 62 (2) ◽  
pp. 199-204 ◽  
Author(s):  
Laurie S. Glezer ◽  
Xiong Jiang ◽  
Maximilian Riesenhuber

1994 ◽  
Vol 1 (2) ◽  
pp. 83-105
Author(s):  
K Sakai ◽  
Y Naya ◽  
Y Miyashita

We examine the hypothesis that the form representation in the anterior inferotemporal (AIT) cortex is acquired through learning. According to this hypothesis, perceptual aspects of the temporal association area are closely related to its visual representation, in that the response selectivity of AIT neurons can be influenced by visual experience. On the basis of the neurophysiological evidence, we summarize two neuronal mechanisms that subserve the acquisition of form selectivity in AIT neurons. The first mechanism is neuronal tuning to particular stimuli that were learned in a cognitive task. The second mechanism is association, with which relevant information can be retrieved from other stored memories. On the grounds that long-term memory of objects is acquired and organized by at least these two neuronal mechanisms in the temporal association area, we further present a model of the cognitive memory system that unifies perception and imagery.


Neuron ◽  
2016 ◽  
Vol 89 (6) ◽  
pp. 1305-1316 ◽  
Author(s):  
Iñigo Arandia-Romero ◽  
Seiji Tanabe ◽  
Jan Drugowitsch ◽  
Adam Kohn ◽  
Rubén Moreno-Bote

2014 ◽  
Vol 24 (16) ◽  
pp. 1929-1933 ◽  
Author(s):  
Alistair M. Muldal ◽  
Timothy P. Lillicrap ◽  
Blake A. Richards ◽  
Colin J. Akerman

2021 ◽  
Author(s):  
Leor N Katz ◽  
Gongchen Yu ◽  
James P Herman ◽  
Richard J Krauzlis

Correlated variability (spike count correlations, rSC) in a population of neurons can constrain how information is read out, depending on behavioral task and neuronal tuning. Here we tested whether rSC also depends on neuronal functional class. We recorded from populations of neurons in macaque superior colliculus (SC), a structure that contains well-defined functional classes. We found that during a guided saccade task, different classes of neurons exhibited differing degrees of rSC. "Delay class" neurons displayed the highest rSC, especially during the delay epoch of saccade tasks that relied on working memory. This was only present among Delay class neurons within the same hemisphere. The dependence of rSC on functional class indicates that subpopulations of SC neurons occupy distinct circuit niches with distinct inputs. Such subpopulations should be accounted for differentially when attempting to model or infer population coding principles in the SC, or elsewhere in the primate brain.


2019 ◽  
Author(s):  
Dina V. Popovkina ◽  
Anitha Pasupathy

ABSTRACTFeature selectivity of neuronal responses in primate visual cortex is typically measured while animals fixate a small dot on the screen and a stimulus is presented in the near-periphery. This paradigm allows the efficient exploration of feature space, but it provides only a partial view of selectivity by failing to characterize how cognitive factors influence neuronal tuning. Here we focus on primate area V4, known to be influenced by cognitive processes, and ask how neuronal tuning is modulated by task engagement. We compared the tuning for shape and color in 83 well-isolated V4 neurons measured during passive fixation and during active engagement in a shape discrimination task. In both tasks, animals saw the same set of objects—shape x color combinations—but while neither stimulus feature was relevant during the fixation task, shape identity was relevant for behavior during the discrimination task. Consistent with attentional studies, V4 responses during the discrimination task showed a stimulus-independent gain scaling relative to passive fixation, but this was only in a minority of neurons (21/83). For the rest (62/83), response modulations during discrimination depended on stimulus identity: on stimulus shape in neurons more strongly tuned to shape, and on color in neurons more strongly tuned to color. Overall, this resulted in broader tuning for stimulus color, but not shape, during active task engagement. These results suggest that task context can influence the shape and color selectivity of V4 neurons, and in some neurons this effect is consistent with a change in the width of feature tuning.


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