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Articles 31 - 36 of 36
Full-Text Articles in Nervous System
Predeliberation Activity In Prefrontal Cortex And Striatum And The Prediction Of Subsequent Value Judgment, Uri Maoz, Ueli Rutishauser, Soyoun Kim, Xinying Cai, Christof Koch
Predeliberation Activity In Prefrontal Cortex And Striatum And The Prediction Of Subsequent Value Judgment, Uri Maoz, Ueli Rutishauser, Soyoun Kim, Xinying Cai, Christof Koch
Psychology Faculty Articles and Research
Rational, value-based decision-making mandates selecting the option with highest subjective expected value after appropriate deliberation. We examined activity in the dorsolateral prefrontal cortex (DLPFC) and striatum of monkeys deciding between smaller, immediate rewards and larger, delayed ones. We previously found neurons that modulated their activity in this task according to the animal's choice, while it deliberated (choice neurons). Here we found neurons whose spiking activities were predictive of the spatial location of the selected target (spatial-bias neurons) or the size of the chosen reward (reward-bias neurons) before the onset of the cue presenting the decision-alternatives, and thus before rational deliberation …
Reducing Multi-Sensor Data To A Single Time Course That Reveals Experimental Effects, Aaron Schurger, Sebastien Marti, Stanislas Dehaene
Reducing Multi-Sensor Data To A Single Time Course That Reveals Experimental Effects, Aaron Schurger, Sebastien Marti, Stanislas Dehaene
Psychology Faculty Articles and Research
Background: Multi-sensor technologies such as EEG, MEG, and ECoG result in high-dimensional data sets. Given the high temporal resolution of such techniques, scientific questions very often focus on the time-course of an experimental effect. In many studies, researchers focus on a single sensor or the average over a subset of sensors covering a “region of interest” (ROI). However, single-sensor or ROI analyses ignore the fact that the spatial focus of activity is constantly changing, and fail to make full use of the information distributed over the sensor array.
Methods: We describe a technique that exploits the optimality and …
Human Milk Cortisol Is Associated With Infant Temperament, Katherine R. Grey, Elyssia Poggi Davis, Curt A. Sandman, Laura M. Glynn
Human Milk Cortisol Is Associated With Infant Temperament, Katherine R. Grey, Elyssia Poggi Davis, Curt A. Sandman, Laura M. Glynn
Psychology Faculty Articles and Research
The implications of the biologically active elements in milk for the mammalian infant are largely unknown. Animal models demonstrate that transmission of glucocorticoids through milk influences behavior and modifies brain development in offspring. The aim of this study was to determine the relation between human milk cortisol levels and temperament of the breastfed infant. Fifty-two mother and infant pairs participated when the infants were three-months old. Milk cortisol levels were assessed and each mother completed the Infant Behavior Questionnaire (IBQ), a widely used parent-report measure of infant temperament. Analyses revealed a positive association between milk cortisol and the negative affectivity …
Inhibition Modifies The Effects Of Slow Calcium-Activated Potassium Channels On Epileptiform Activity In A Neuronal Network Model, Keun-Hang Susan Yang, Piotr J. Franaszczuk, Gregory K. Bergey
Inhibition Modifies The Effects Of Slow Calcium-Activated Potassium Channels On Epileptiform Activity In A Neuronal Network Model, Keun-Hang Susan Yang, Piotr J. Franaszczuk, Gregory K. Bergey
Mathematics, Physics, and Computer Science Faculty Articles and Research
Generation of epileptiform activity typically results from a change in the balance between network excitation and inhibition. Experimental evidence indicates that alterations of either synaptic activity or intrinsic membrane properties can produce increased network excitation. The slow Ca2+-activated K+ currents (sI AHP) are important modulators of neuronal firing rate and excitability and have important established and potential roles in epileptogenesis. While the effects of changes in sI AHP on individual neuronal excitability are readily studied and well established, the effects of such changes on network behavior are less well known. The experiments here utilize a defined small network model of …
The Influence Of Slow Calcium-Activated Potassium Channels On Epileptiform Activity In A Neuronal Model Of Pyramidal Cells, Keun-Hang Susan Yang, Piotr J. Franaszczuk, Gregory K. Bergey
The Influence Of Slow Calcium-Activated Potassium Channels On Epileptiform Activity In A Neuronal Model Of Pyramidal Cells, Keun-Hang Susan Yang, Piotr J. Franaszczuk, Gregory K. Bergey
Mathematics, Physics, and Computer Science Faculty Articles and Research
An imbalance between excitation and inhibition can play an important role in the generation of epileptiform activity. Experimental evidence indicates that alterations of either synaptic activity or intrinsic membrane properties may contribute to this imbalance. The slow Ca2+ - activated K+ currents (sIAHP) limit neuronal firing rate and excitability and are therefore of great interest for their potential role in epileptogenesis. The sIAHP is found in both excitatory and inhibitory neurons, and its effect on these neurons can influence the network behavior. Simulations show that the increased excitability caused by reduction of inhibition by the sIAHP for inhibitory interneuron generates …
The Effect Of Changes In The Inhibitory Interneuron Connectivity On The Pattern Of Bursting Behavior In A Pyramidal Cell Model, Keun-Hang Susan Yang, Piotr J. Franaszczuk, Gregory K. Bergey
The Effect Of Changes In The Inhibitory Interneuron Connectivity On The Pattern Of Bursting Behavior In A Pyramidal Cell Model, Keun-Hang Susan Yang, Piotr J. Franaszczuk, Gregory K. Bergey
Mathematics, Physics, and Computer Science Faculty Articles and Research
Inhibitory interneurons play crucial roles in the regulation of patterns of activity in the hippocampus, and some types are thought to be vulnerable in epilepsy. The connections between excitatory and inhibitory synapses are important for generation of bursting activity in pyramidal neurons. The present study investigates the influences of changes in the connectivity of interneurons on the patterns of bursting in several excitatory connections using a multicompartmental pyramidal cell model. Simulations show that bursting activity depends upon changes in the connectivity of the inhibitory interneuron, and the location of the inhibitory synapses on excitatory neurons.