scholarly journals An increase in spontaneous activity mediates visual habituation

2018 ◽  
Author(s):  
Jae-eun Kang Miller ◽  
Bradley R. Miller ◽  
Rafael Yuste
Keyword(s):  
Visual Cortex ◽  
Spontaneous Activity ◽  
Contextual Information ◽  
Full Range ◽  
Sensory Information ◽  
Activity Levels ◽  
Two Photon ◽  
The Difference ◽  
Evoked Activity ◽  
Visual Habituation

The cerebral cortex is spontaneously active, but the function of this ongoing activity remains unclear. One possibility is that spontaneous activity provides contextual information in cortical computations, replaying previously learned patterns of activity that conditions the cortex to respond more efficiently, based on past experience. To test this, we measured the response of neuronal populations in mouse primary visual cortex with chronic two-photon calcium imaging during a visual habituation to a specific oriented stimulus. We unexpectedly found that, during habituation, spontaneous activity increased in neurons across the full range of orientation selectivity, eventually matching that of evoked levels. The increase in spontaneous activity strongly correlated with the degree of habituation. In fact, boosting spontaneous activity with two-photon optogenetic stimulation to the levels of stimulus-evoked activity induced habituation in naive animals. Our study shows that cortical spontaneous activity is causally linked to habituation, which unfolds by minimizing the difference between spontaneous and stimulus-evoked activity levels, rendering the cortex less responsive. We also show how manipulating spontaneous activity can accelerate this type of learning. We hypothesize that spontaneous activity in visual cortex gates incoming sensory information.

Mammalian Visual System Organization

2017 ◽  
Author(s):  
Farran Briggs
Keyword(s):  
Visual Cortex ◽  
Visual System ◽  
Visual Information ◽  
Contextual Information ◽  
Sensory Information ◽  
Visual Image ◽  
Brain Structures ◽  
Object Representations ◽  
System A ◽  
The Brain

Many mammals, including humans, rely primarily on vision to sense the environment. While a large proportion of the brain is devoted to vision in highly visual animals, there are not enough neurons in the visual system to support a neuron-per-object look-up table. Instead, visual animals evolved ways to rapidly and dynamically encode an enormous diversity of visual information using minimal numbers of neurons (merely hundreds of millions of neurons and billions of connections!). In the mammalian visual system, a visual image is essentially broken down into simple elements that are reconstructed through a series of processing stages, most of which occur beneath consciousness. Importantly, visual information processing is not simply a serial progression along the hierarchy of visual brain structures (e.g., retina to visual thalamus to primary visual cortex to secondary visual cortex, etc.). Instead, connections within and between visual brain structures exist in all possible directions: feedforward, feedback, and lateral. Additionally, many mammalian visual systems are organized into parallel channels, presumably to enable efficient processing of information about different and important features in the visual environment (e.g., color, motion). The overall operations of the mammalian visual system are to: (1) combine unique groups of feature detectors in order to generate object representations and (2) integrate visual sensory information with cognitive and contextual information from the rest of the brain. Together, these operations enable individuals to perceive, plan, and act within their environment.

scholarly journals A standardized behavioral event equally impacts the activity of cortical visual areas and layers

2020 ◽  
Author(s):  
Mahdi Ramadan ◽  
Eric Kenji Lee ◽  
Shiella Caldejon ◽  
India Kato ◽  
Kate Roll ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Motor Behavior ◽  
Sensory Information ◽  
Response Patterns ◽  
Neuronal Responses ◽  
Two Photon ◽  
Visual Areas ◽  
Cortical Visual Areas ◽  
Behavioral Event

AbstractMultiple recent studies have shown that motor activity greatly impacts the activity of primary sensory areas like V1. Yet, the role of this motor related activity in sensory processing is still unclear. Here we further dissect how these behavior relevant signals are broadcast to different layers and areas of visual cortex. To do so, we leveraged a standardized motor behavior fidget event in behavioral videos of passively viewing mice. A large two-photon Ca2+ imaging database of neuronal responses uncovered four neural response types during fidgets that are surprisingly consistent in their proportion and response patterns across all visual areas and layers of the visual cortex. Indeed, the layer and area identity could not be decoded above chance level based only on neuronal recordings. The broad availability of standardized behavior signals could be a key component in how the cortex selects, learns and binds local sensory information with relevant motor outputs.

scholarly journals Long-term stability of neuronal ensembles in mouse visual cortex

2020 ◽  
Author(s):  
Jesús Pérez-Ortega ◽  
Tzitzitlini Alejandre-García ◽  
Rafael Yuste
Keyword(s):  
Visual Cortex ◽  
Spontaneous Activity ◽  
Internal Representation ◽  
Mental States ◽  
Long Term Stability ◽  
Neuronal Ensembles ◽  
Neuronal Populations ◽  
Evoked Activity ◽  
Mouse Visual Cortex ◽  
Over Time

AbstractCoactive neuronal ensembles are found in spontaneous and evoked cortical activity and are thought to participate in the internal representation of memories, perceptions, and mental states. In mouse visual cortex, ensembles can be optogenetically imprinted and are causally related to visual percepts, but it is still unknown how stable they are over time. Using two-photon volumetric microscopy, we performed calcium imaging over several weeks of the same neuronal populations in layer 2/3 of visual cortex of awake mice, tracking over time the activity of the same neurons in response to visual stimuli and under spontaneous activity. Only a small number of neurons remained active across days. Analyzing them, we found both stable ensembles, lasting up to 46 days, and transient ones, observed during only one imaging session. The majority of ensembles in visually-evoked activity were stable, whereas in spontaneous activity similar numbers of stable and transient ensembles were found. Among stable ensembles, more than 60 % of neurons still belonged to the same ensemble even after several weeks. These core ensemble cells had stronger functional connectivity than neurons that stopped belonging to the ensemble. Our results demonstrate that spontaneous and evoked neuronal ensembles can last weeks, providing a neuronal mechanism for the long-lasting representation of perceptual states or memories.

scholarly journals Opposing influence of top-down and bottom-up input on different types of excitatory layer 2/3 neurons in mouse visual cortex

2020 ◽  
Author(s):  
Rebecca Jordan ◽  
Georg B. Keller
Keyword(s):  
Visual Cortex ◽  
Contextual Information ◽  
Sensory Information ◽  
Neuronal Responses ◽  
Cortical Circuits ◽  
Top Down ◽  
Bottom Up ◽  
Physiological Properties ◽  
Layer 2 ◽  
Mouse Visual Cortex

ABSTRACTProcessing in cortical circuits is driven by combinations of cortical and subcortical inputs. These signals are often conceptually categorized as bottom-up input, conveying sensory information, and top-down input, conveying contextual information. Using intracellular recordings in mouse visual cortex, we measured neuronal responses to visual input, locomotion, and visuomotor mismatches. We show that layer 2/3 (L2/3) neurons compute a difference between top-down motor-related input and bottom-up visual flow input. Most L2/3 neurons responded to visuomotor mismatch with either hyperpolarization or depolarization, and these two response types were associated with distinct physiological properties. Consistent with a subtraction of bottom-up and top-down input, visual and motor-related inputs had opposing influence in L2/3 neurons. In infragranular neurons, we found no evidence of a difference-computation and responses were consistent with a positive integration of visuomotor inputs. Our results provide evidence that L2/3 functions as a bidirectional comparator of top-down and bottom-up input.

Thrombotic Events in Homozygotes with a Proven or Highly Probable Arg304Gln Factor VII Mutation (FVII Padua)1): Only Limited Replacement Therapy is Needed in Case of Surgery

2019 ◽  
Vol 19 (3) ◽  
pp. 233-238
Author(s):  
Antonio Girolami ◽  
Elisabetta Cosi ◽  
Silvia Ferrari ◽  
Bruno Girolami ◽  
Maria L. Randi
Keyword(s):  
Replacement Therapy ◽  
Thrombotic Event ◽  
Factor Vii ◽  
Compound Heterozygous ◽  
Activity Levels ◽  
High Prevalence ◽  
Molecular Studies ◽  
Tissue Thromboplastin ◽  
The Difference ◽  
Compound Heterozygotes

Objective: To investigate the prevalence of thrombotic events among patients with proven or highly probable homozygosis for the Arg304Gln (Factor VII Padua) defect or compound heterozygosis containing the Arg304Gln mutation. Methods: Homozygotes and compound heterozygotes proven by molecular studies to have the Arg304Gln mutation were gathered from personal files and from two PubMed searches. In addition, patients with probable homozygosis on the basis of clotting tests (discrepancies among Factor VII activity levels according to the tissue thromboplastin used) were also gathered. Results: 30 proven homozygotes and 17 probable ones were gathered together with 8 compound heterozygotes. In the latter use, the associated mutation was Cys135Arg (twice), Gly180Arg, Arg304Trp, Arg315Trp, His348Gln, Gly365Cys. The prevalence of venous thrombotic events was 16.6, 11.8 and 11.1 percent, respectively for the three groups of patients. Heterozygotes showed no thrombotic event. The difference for proven homozygotes was statistically significant, while for the other groups only a trend was present. Conclusion: proven homozygous or compound heterozygous patients with the Arg304Gln mutation showed a higher than expected incidence of thrombotic events. The same is true for probable cases gathered only on the basis of clotting tests. These patients, because of their frequent lack of bleeding and for their relatively high prevalence of thrombosis should probably receive only limited replacement therapy in case of surgical procedures.

scholarly journals 3D Ultrastructure of Synaptic Inputs to Distinct GABAergic Neurons in the Mouse Primary Visual Cortex

2020 ◽  
Author(s):  
Yang-Sun Hwang ◽  
Catherine Maclachlan ◽  
Jérôme Blanc ◽  
Anaëlle Dubois ◽  
Carl C H Petersen ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Pyramidal Neuron ◽  
Cell Types ◽  
Gabaergic Neurons ◽  
Inhibitory Synapses ◽  
Synaptic Inputs ◽  
Neuronal Types ◽  
The Difference ◽  
Ultrastructure Of Synapses

Abstract Synapses are the fundamental elements of the brain’s complicated neural networks. Although the ultrastructure of synapses has been extensively studied, the difference in how synaptic inputs are organized onto distinct neuronal types is not yet fully understood. Here, we examined the cell-type-specific ultrastructure of proximal processes from the soma of parvalbumin-positive (PV+) and somatostatin-positive (SST+) GABAergic neurons in comparison with a pyramidal neuron in the mouse primary visual cortex (V1), using serial block-face scanning electron microscopy. Interestingly, each type of neuron organizes excitatory and inhibitory synapses in a unique way. First, we found that a subset of SST+ neurons are spiny, having spines on both soma and dendrites. Each of those spines has a highly complicated structure that has up to eight synaptic inputs. Next, the PV+ and SST+ neurons receive more robust excitatory inputs to their perisoma than does the pyramidal neuron. Notably, excitatory synapses on GABAergic neurons were often multiple-synapse boutons, making another synapse on distal dendrites. On the other hand, inhibitory synapses near the soma were often single-targeting multiple boutons. Collectively, our data demonstrate that synaptic inputs near the soma are differentially organized across cell types and form a network that balances inhibition and excitation in the V1.

scholarly journals Corticostriatal Circuits Encode the Subjective Value of Perceived Control

2019 ◽  
Vol 29 (12) ◽  
pp. 5049-5060 ◽  
Author(s):  
Kainan S Wang ◽  
Mauricio R Delgado
Keyword(s):  
Perceived Control ◽  
Well Being ◽  
Control Option ◽  
Subjective Value ◽  
Binary Choices ◽  
Mere Presence ◽  
The Difference ◽  
Neural Underpinnings ◽  
Evoked Activity

AbstractThe ability to perceive and exercise control over an outcome is both desirable and beneficial to our well-being. It has been shown that animals and humans alike exhibit behavioral bias towards seeking control and that such bias recruits the ventromedial prefrontal cortex (vmPFC) and striatum. Yet, this bias remains to be quantitatively captured and studied neurally. Here, we employed a behavioral task to measure the preference for control and characterize its neural underpinnings. Participants made a series of binary choices between having control and no-control over a game for monetary reward. The mere presence of the control option evoked activity in the ventral striatum. Importantly, we manipulated the expected value (EV) of each choice pair to extract the pairing where participants were equally likely to choose either option. The difference in EV between the options at this point of equivalence was inferred as the subjective value of control. Strikingly, perceiving control inflated the reward value of the associated option by 30% and this value inflation was tracked by the vmPFC. Altogether, these results capture the subjective value of perceived control inherent in decision making and highlight the role of corticostriatal circuitry in the perception of control.

The Role of Neuronal Synchronization in Response Selection: A Biologically Plausible Theory of Structured Representations in the Visual Cortex

1996 ◽  
Vol 8 (6) ◽  
pp. 603-625 ◽  
Author(s):  
Pieter R. Roelfsema ◽  
Andreas K. Engel ◽  
Peter König ◽  
Wolf Singer
Keyword(s):  
Visual Cortex ◽  
Response Selection ◽  
Sensory Information ◽  
Motor Program ◽  
Dynamic Parameter ◽  
Object Identification ◽  
Multiple Objects ◽  
Structured Representations ◽  
Purposeful Behavior ◽  
Behavioral Requirements

Recent experimental results in the visual cortex of cats and monkeys have suggested an important role for synchronization of neuronal activity on a millisecond time scale. Synchronization has been found to occur selectively between neuronal responses to related image components. This suggests that not only the firing rates of neurons but also the relative timing of their action potentials is used as a coding dimension. Thus, a powerful relational code would be available, in addition to the rate code, for the representation of perceptual objects. This could alleviate difficulties in the simultaneous representation of multiple objects. In this article we present a set of theoretical arguments and predictions concerning the mechanisms that could group neurons responding to related image components into coherently active aggregates. Synchrony is likely to be mediated by synchronizing connections; we introduce the concept of an interaction skeleton to refer to the subset of synchronizing connections that are rendered effective by a particular stimulus configuration. If the image is segmented into objects, these objects can typically be segmented further into their constituent parts. The synchronization behavior of neurons that represent the various image components may accurately reflect this hierarchical clustering. We propose that the range of synchronizing interactions is a dynamic parameter of the cortical network, so that the grain of the resultant grouping process may be adapted to the actual behavioral requirements. It can be argued that different aspects of purposeful behavior rely on separable processes by which sensory input is transformed into adjustments of motor activity. Indeed, neurophysiological evidence has suggested separate processing streams originating in the primary visual cortex for object identification and sensorimotor coordination. However, such a separation calls for a mechanism that avoids interference effects in the presence of multiple objects, or when multiple motor programs are simultaneously prepared. In this article we suggest that synchronization between responses of neurons in both the visual cortex and in areas that are involved in response selection and execution might allow for a selective routing of sensory information to the appropriate motor program.

Evoked Potential: Use in Screening of Hearing and Vision

1982 ◽  
Vol 4 (3) ◽  
pp. 81-98
Keyword(s):  
Visual Acuity ◽  
Visual Cortex ◽  
Evoked Potential ◽  
Light Flash ◽  
Electrical Response ◽  
Sensory Information ◽  
Occipital Cortex ◽  
Small Children ◽  
Refractive Correction ◽  
Potential Use

An evoked potential (EP) is the electrical response of the CNS to an external stimulus. Each EP may be represented as a sequence of waves, the amplitude and length of which reflect the conduction and processing of sensory information through the CNS. Visual, auditory, and somatic EP are used clinically in pediatrics. Visual evoked potentials are the responses recorded from the occipital cortex of the scalp near the primary visual cortex to a stroboscopic light flash. The occipital potential orginates in the retina. This study can be used to assess the functional integrity of the visual system. Visual acuity can be assessed using refractive correction to enhance the amplitude of the recorded response in small children.

scholarly journals Sperm metabolism is altered during storage by female insects: evidence from two-photon autofluorescence lifetime measurements in bedbugs

2015 ◽  
Vol 12 (110) ◽  
pp. 20150609 ◽  
Author(s):  
Klaus Reinhardt ◽  
Hans Georg Breunig ◽  
Aisada Uchugonova ◽  
Karsten König
Keyword(s):  
Fluorescence Lifetime ◽  
Sperm Cells ◽  
Fluorescence Lifetime Imaging ◽  
Two Photon ◽  
Lifetime Imaging ◽  
Photon Excitation ◽  
The Common ◽  
The Mean ◽  
The Difference ◽  
Male Genotype

We explore the possibility of characterizing sperm cells without the need to stain them using spectral and fluorescence lifetime analyses after multi-photon excitation in an insect model. The autofluorescence emission spectrum of sperm of the common bedbug, Cimex lectularius , was consistent with the presence of flavins and NAD(P)H. The mean fluorescence lifetimes showed smaller variation in sperm extracted from the male (tau m, τ m = 1.54–1.84 ns) than in that extracted from the female sperm storage organ (tau m, τ m = 1.26–2.00 ns). The fluorescence lifetime histograms revealed four peaks. These peaks (0.18, 0.92, 2.50 and 3.80 ns) suggest the presence of NAD(P)H and flavins and show that sperm metabolism can be characterized using fluorescence lifetime imaging. The difference in fluorescence lifetime variation between the sexes is consistent with the notion that female animals alter the metabolism of sperm cells during storage. It is not consistent, however, with the idea that sperm metabolism represents a sexually selected character that provides females with information about the male genotype.

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