scholarly journals Contribution of correlated noise and selective decoding to choice probability measurements in extrastriate visual cortex

eLife ◽  
2014 ◽  
Vol 3 ◽  
Author(s):  
Yong Gu ◽  
Dora E Angelaki ◽  
Gregory C DeAngelis
Keyword(s):  
Visual Cortex ◽  
Sensory Neurons ◽  
Neural Activity ◽  
Behavioral Data ◽  
Choice Probability ◽  
Correlated Noise ◽  
Extrastriate Visual Cortex ◽  
Self Motion

Trial by trial covariations between neural activity and perceptual decisions (quantified by choice Probability, CP) have been used to probe the contribution of sensory neurons to perceptual decisions. CPs are thought to be determined by both selective decoding of neural activity and by the structure of correlated noise among neurons, but the respective roles of these factors in creating CPs have been controversial. We used biologically-constrained simulations to explore this issue, taking advantage of a peculiar pattern of CPs exhibited by multisensory neurons in area MSTd that represent self-motion. Although models that relied on correlated noise or selective decoding could both account for the peculiar pattern of CPs, predictions of the selective decoding model were substantially more consistent with various features of the neural and behavioral data. While correlated noise is essential to observe CPs, our findings suggest that selective decoding of neuronal signals also plays important roles.

Auditory cues facilitate object movement processing in human extrastriate visual cortex during simulated self-motion: A pilot study

2021 ◽  
pp. 147489
Author(s):  
Lucia M. Vaina ◽  
Finnegan J. Calabro ◽  
Abhisek Samal ◽  
Kunjan D. Rana ◽  
Fahimeh Mamashli ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Pilot Study ◽  
Auditory Cues ◽  
Extrastriate Visual Cortex ◽  
Object Movement ◽  
Self Motion

Self-Motion Perception: Multisensory Integration in Extrastriate Visual Cortex

2011 ◽  
pp. 295-316 ◽  
Author(s):  
Christopher R. Fetsch ◽  
Yong Gu ◽  
Gregory C. DeAngelis ◽  
Dora E. Angelaki
Keyword(s):  
Visual Cortex ◽  
Motion Perception ◽  
Multisensory Integration ◽  
Extrastriate Visual Cortex ◽  
Self Motion

scholarly journals Central role of G protein Gαi2 and Gαi2+ vomeronasal neurons in balancing territorial and infant-directed aggression of male mice

2019 ◽  
Vol 116 (11) ◽  
pp. 5135-5143 ◽  
Author(s):  
Anne-Charlotte Trouillet ◽  
Matthieu Keller ◽  
Jan Weiss ◽  
Trese Leinders-Zufall ◽  
Lutz Birnbaumer ◽  
...  
Keyword(s):  
G Protein ◽  
Sensory Neurons ◽  
Neural Activity ◽  
Parental Behavior ◽  
Vomeronasal Organ ◽  
Male Infant ◽  
Lateral Septum ◽  
Male Mice ◽  
Protein Subunit ◽  
Α Subunit

Aggression is controlled by the olfactory system in many animal species. In male mice, territorial and infant-directed aggression are tightly regulated by the vomeronasal organ (VNO), but how diverse subsets of sensory neurons convey pheromonal information to limbic centers is not yet known. Here, we employ genetic strategies to show that mouse vomeronasal sensory neurons expressing the G protein subunit Gαi2 regulate male–male and infant-directed aggression through distinct circuit mechanisms. Conditional ablation of Gαi2 enhances male–male aggression and increases neural activity in the medial amygdala (MeA), bed nucleus of the stria terminalis, and lateral septum. By contrast, conditional Gαi2 ablation causes reduced infant-directed aggression and decreased activity in MeA neurons during male–infant interactions. Strikingly, these mice also display enhanced parental behavior and elevated neural activity in the medial preoptic area, whereas sexual behavior remains normal. These results identify Gαi2 as the primary G protein α-subunit mediating the detection of volatile chemosignals in the apical layer of the VNO, and they show that Gαi2+ VSNs and the brain circuits activated by these neurons play a central role in orchestrating and balancing territorial and infant-directed aggression of male mice through bidirectional activation and inhibition of different targets in the limbic system.

scholarly journals Multiple states in ongoing neural activity in the rat visual cortex

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256791
Author(s):  
Daichi Konno ◽  
Shinji Nishimoto ◽  
Takafumi Suzuki ◽  
Yuji Ikegaya ◽  
Nobuyoshi Matsumoto
Keyword(s):  
Visual Cortex ◽  
Neural Activity ◽  
Activity Patterns ◽  
Electrode Array ◽  
Nonlinear Dimensionality Reduction ◽  
Neural Responses ◽  
Spontaneous Neural Activity ◽  
Custom Made ◽  
Visual Cortices ◽  
Freely Behaving

The brain continuously produces internal activity in the absence of afferently salient sensory input. Spontaneous neural activity is intrinsically defined by circuit structures and associated with the mode of information processing and behavioral responses. However, the spatiotemporal dynamics of spontaneous activity in the visual cortices of behaving animals remain almost elusive. Using a custom-made electrode array, we recorded 32-site electrocorticograms in the primary and secondary visual cortex of freely behaving rats and determined the propagation patterns of spontaneous neural activity. Nonlinear dimensionality reduction and unsupervised clustering revealed multiple discrete states of the activity patterns. The activity remained stable in one state and suddenly jumped to another state. The diversity and dynamics of the internally switching cortical states would imply flexibility of neural responses to various external inputs.

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