scholarly journals Reward revaluation biases hippocampal replay content away from the preferred outcome

2018 ◽  
Author(s):  
Alyssa A. Carey ◽  
Youki Tanaka ◽  
Matthijs A. A. van der Meer
Keyword(s):  
Neural Activity ◽  
Behavioral Control ◽  
Recent Experience ◽  
Sharp Wave ◽  
Model Based ◽  
Litmus Test ◽  
Spatial Trajectories

AbstractThe rodent hippocampus spontaneously generates bursts of neural activity (“replay”) which can depict spatial trajectories to reward locations, suggesting a role in model-based behavioral control. A largely separate literature emphasizes reward revaluation as the litmus test for such control, yet the content of hippocampal replay under revaluation conditions is unknown. We report that the content of awake hippocampal sharp wave-ripple events is biased away from the preferred outcome following reward revaluation, challenging the idea that such sequences reflect recent experience or trajectories toward the preferred goal.

scholarly journals Risk Factors for Addiction and Their Association with Model-Based Behavioral Control

2016 ◽  
Vol 10 ◽  
Author(s):  
Andrea M. F. Reiter ◽  
Lorenz Deserno ◽  
Tilmann Wilbertz ◽  
Hans-Jochen Heinze ◽  
Florian Schlagenhauf
Keyword(s):  
Risk Factors ◽  
Behavioral Control ◽  
Model Based

scholarly journals Analysis of an open source, closed-loop, realtime system for hippocampal sharp-wave ripple disruption

2018 ◽  
Author(s):  
Shayok Dutta ◽  
Etienne Ackermann ◽  
Caleb Kemere
Keyword(s):  
Open Source ◽  
Neural Activity ◽  
Closed Loop ◽  
Detection System ◽  
Detection Accuracy ◽  
Sharp Wave ◽  
Trade Offs ◽  
Wide Range ◽  
Realtime System

AbstractTransient neural activity pervades hippocampal electrophysiological activity. During more quiescent states, brief ≈100 ms periods comprising large ≈150–250 Hz oscillations known as sharp-wave ripples (SWR) which co-occur with ensemble bursts of spiking activity, are regularly found in local field potentials recorded from area CA1. SWRs and their concomitant neural activity are thought to be important for memory consolidation, recall, and memory-guided decision making. Temporally-selective manipulations of hippocampal neural activity upon online hippocampal SWR detection have been used as causal evidence of the importance of SWR for mnemonic process as evinced by behavioral and/or physiological changes. However, though this approach is becoming more wide spread, the performance trade-offs involved in building a SWR detection and disruption system have not been explored, limiting the design and interpretation of SWR detection experiments. We present an open source, plug-and-play, online ripple detection system with a detailed performance characterization. Our system has been constructed to interface with an open source software platform, Trodes, and two hardware acquisition platforms, Open Ephys and SpikeGadgets. We show that our in vivo results — approximately 80% detection latencies falling in between ≈20–66 ms with ≈2 ms closed-loop latencies while maintaining <10 false detections per minute — are dependent upon both algorithmic trade-offs and acquisition hardware. We discuss strategies to improve detection accuracy and potential limitations of online ripple disruptions. By characterizing this system in detail, we present a template for analyzing other closed-loop neural detection and perturbation systems. Thus, we anticipate our modular, open source, realtime system will facilitate a wide range of carefully-designed causal closed-loop neuroscience experiments.

The interaction of acute and chronic stress impairs model-based behavioral control

2015 ◽  
Vol 53 ◽  
pp. 268-280 ◽  
Author(s):  
Christoph Radenbach ◽  
Andrea M.F. Reiter ◽  
Veronika Engert ◽  
Zsuzsika Sjoerds ◽  
Arno Villringer ◽  
...  
Keyword(s):  
Chronic Stress ◽  
Behavioral Control ◽  
Model Based ◽  
Acute And Chronic Stress

scholarly journals Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making

2015 ◽  
Vol 112 (5) ◽  
pp. 1595-1600 ◽  
Author(s):  
Lorenz Deserno ◽  
Quentin J. M. Huys ◽  
Rebecca Boehme ◽  
Ralph Buchert ◽  
Hans-Jochen Heinze ◽  
...  
Keyword(s):  
Ventral Striatum ◽  
Behavioral Control ◽  
Striatal Dopamine ◽  
Quantitative Relation ◽  
Sequential Decision ◽  
Model Based Control ◽  
Model Based ◽  
Model Free ◽  
Neuropsychiatric Diseases ◽  
Neural Signatures

Dual system theories suggest that behavioral control is parsed between a deliberative “model-based” and a more reflexive “model-free” system. A balance of control exerted by these systems is thought to be related to dopamine neurotransmission. However, in the absence of direct measures of human dopamine, it remains unknown whether this reflects a quantitative relation with dopamine either in the striatum or other brain areas. Using a sequential decision task performed during functional magnetic resonance imaging, combined with striatal measures of dopamine using [18F]DOPA positron emission tomography, we show that higher presynaptic ventral striatal dopamine levels were associated with a behavioral bias toward more model-based control. Higher presynaptic dopamine in ventral striatum was associated with greater coding of model-based signatures in lateral prefrontal cortex and diminished coding of model-free prediction errors in ventral striatum. Thus, interindividual variability in ventral striatal presynaptic dopamine reflects a balance in the behavioral expression and the neural signatures of model-free and model-based control. Our data provide a novel perspective on how alterations in presynaptic dopamine levels might be accompanied by a disruption of behavioral control as observed in aging or neuropsychiatric diseases such as schizophrenia and addiction.

scholarly journals Theory of cyborg: a new approach to fish locomotion control

2019 ◽  
Author(s):  
Mohammad Jamali ◽  
Yousef Jamali ◽  
Mehdi Golshani
Keyword(s):  
Electrical Stimulation ◽  
Neural Activity ◽  
Behavioral Control ◽  
Low Frequency ◽  
Main Concern ◽  
Locomotion Control ◽  
High Frequency Signal ◽  
New Approach ◽  
Fish Locomotion ◽  
Stimulation Method

AbstractCyborg in the brain-machine interface field has attracted more attention in recent years. To control a creature via a machine called cyborg method, three stages are considerable: stimulation of neurons, neural response, and the behavioral reaction of the subject. Our main concern was to know how electrical stimulation induces neural activity and leads to a behavioral response. Additionally, we were interested to explore which type of electrical stimulation is optimal from different aspects such as maximum response with minimum induction stimulus field, minimum damage of the tissue and the electrode, reduction of the noxiousness of stimuli or pain in the living creature. In this article, we proposed a new model for the induction of neural activity led to locomotion responses through an electrical stimulation. Furthermore, based on this model, we developed a new approach of electrical neural stimulation to provide a better locomotion control of living beings. This approach was verified through the empirical data of fish cyborg. We stimulated the fish brain by use of an ultra-high frequency signal which careered by a random low frequency. According to our model, we could control the locomotion of fish in a novel and innovative way. In this study, we categorized the different cyborg methods based on the nervous system areas and the stimulation signal properties to reach the better and optimal behavioral control of creature. According to this, we proposed a new stimulation method theoretically and confirmed it experimentally.

scholarly journals Neural and behavioral control in Caenorhabditis elegans by a yellow-light–activatable caged compound

2021 ◽  
Vol 118 (6) ◽  
pp. e2009634118
Author(s):  
Hironori Takahashi ◽  
Mako Kamiya ◽  
Minoru Kawatani ◽  
Keitaro Umezawa ◽  
Yoshiaki Ukita ◽  
...  
Keyword(s):  
Caenorhabditis Elegans ◽  
Neural Activity ◽  
Transient Receptor Potential ◽  
Behavioral Control ◽  
Receptor Potential ◽  
Transient Receptor Potential Vanilloid ◽  
Neural Basis ◽  
Caged Compounds ◽  
Phenol Derivatives ◽  
Photophobic Response

Caenorhabditis elegans is used as a model system to understand the neural basis of behavior, but application of caged compounds to manipulate and monitor the neural activity is hampered by the innate photophobic response of the nematode to short-wavelength light or by the low temporal resolution of photocontrol. Here, we develop boron dipyrromethene (BODIPY)-derived caged compounds that release bioactive phenol derivatives upon illumination in the yellow wavelength range. We show that activation of the transient receptor potential vanilloid 1 (TRPV1) cation channel by spatially targeted optical uncaging of the TRPV1 agonist N-vanillylnonanamide at 580 nm modulates neural activity. Further, neuronal activation by illumination-induced uncaging enables optical control of the behavior of freely moving C. elegans without inducing a photophobic response and without crosstalk between uncaging and simultaneous fluorescence monitoring of neural activity.

After-effects and the integration of patterns of neural activity within a channel

1980 ◽  
Vol 290 (1038) ◽  
pp. 39-55 ◽  
Keyword(s):  
Test Stimulus ◽  
Neural Activity ◽  
The Other ◽  
Additive Effects ◽  
Experimental Conditions ◽  
After Effects ◽  
Subsequent Test ◽  
Model Based

Prolonged inspection of an adapting stimulus changes the appearance of a subsequent test stimulus. There are five distinct viewing conditions under which such ‘after-effects’ may be generated. These are MON-MON (inspect with one eye, test same eye), BIN-BIN (inspect with both eyes, test both eyes), BIN-MON (inspect with both eyes, test only one eye), MON-BIN (inspect with one eye, test with both) and TRANSFER (inspect with one eye, test with the other eye). A model based upon the assumption of the linearly additive effects of adaptation generated in ‘dominance classes’ of cortical units that are driven either by one eye, or the other eye, or by either eye or both eyes together, is described. This model generates predictions concerning the expected relative magnitudes of after-effects generated under the five viewing modes described above, and experiments are described that confirm these predictions. The model can be extended to generate predictions about other experimental conditions. A more complex version of the model is consistent with electrophysiologically derived estimates of the proportion of cortical units in each dominance class.

scholarly journals Compulsive drinking is associated with neural activity patterns reflecting diminished behavioral control and enhanced seeking representations in dorsal medial prefrontal cortex

2021 ◽  
Author(s):  
Nicholas Timme ◽  
Baofeng Ma ◽  
David N. Linsenbardt ◽  
Ethan Cornwell ◽  
Taylor Galbari ◽  
...  
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Medial Prefrontal Cortex ◽  
Neural Activity ◽  
Behavioral Control ◽  
Critical Phenomenon ◽  
Activity Patterns ◽  
Principal Component ◽  
Neural Population ◽  
Negative Consequences

Drinking despite negative consequences (compulsive drinking) is a central contributor to high-risk alcohol intake and is associated with poor treatment outcomes in humans. We used a rodent model of compulsive drinking to examine the role played by dorsal medial prefrontal cortex (dmPFC), a brain region involved in maladaptive decision-making in addiction, in this clinically critical phenomenon. We developed novel advances in principal component and change point analyses to dissect neural population representations of specific decision-making variables. Compulsive subjects showed weakened representations of behavioral control signals that relate to drinking within a trial, but strengthened session-wide seeking state representations that were associated with drinking engagement at the start of each drinking opportunity. Finally, chemogenetic-based excitation of dmPFC prevented escalation of compulsive drinking. Collectively, these data indicate that compulsive drinking is associated with alterations in dmPFC neural activity that underlie diminished behavioral control and enhanced seeking.

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