Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Kavli Affiliate: Marcelo Mattar | Authors: Hua-Dong Xiong, Li Ji-An, Marcelo G Mattar and Robert C Wilson | Summary: Cognitive modeling in psychology and neuroscience provides a formal approach to formulate and test hypotheses of cognitive processes. Such models rely on cognitive parameters that are intended to represent interpretable and identifiable psychological constructs. However, accurately […]


Continue.. Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Kavli Affiliate: Marcelo Mattar | Authors: Hua-Dong Xiong, Li Ji-An, Marcelo G Mattar and Robert C Wilson | Summary: Cognitive modeling in psychology and neuroscience provides a formal approach to formulate and test hypotheses of cognitive processes. Such models rely on cognitive parameters that are intended to represent interpretable and identifiable psychological constructs. However, accurately […]


Continue.. Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Spectral disruption of inter-hemispheric resting-state BOLD coherence at vasomotor frequency (~0.1 Hz) links vascular dysfunction to functional connectivity loss in carotid artery stenosis

Kavli Affiliate: David Kleinfeld | Authors: Sangcheon Choi, Gabriel Hoffmann, Sebastian Schneider, Stephan Kaczmarz, David Kleinfeld, Xin Yu, Christian Sorg and Christine Preibisch | Summary: Vasomotor dynamics at the infra-slow frequencies (~0.1 Hz), driven by synchronized oscillation of smooth muscle cells in vessel walls, play an important role in regulating cerebral perfusion and constitute a […]


Continue.. Spectral disruption of inter-hemispheric resting-state BOLD coherence at vasomotor frequency (~0.1 Hz) links vascular dysfunction to functional connectivity loss in carotid artery stenosis

Accept-reject decision-making revealed via a quantitative and ethological study of C. elegans foraging

Kavli Affiliate: Sreekanth Chalasani | Authors: Jessica A Haley, Tianyi Chen, Mikio Aoi and Sreekanth H Chalasani | Summary: Decision-making is a ubiquitous component of animal behavior that is often studied in the context of foraging. Foragers make a series of decisions while locating food (food search), choosing between food types (diet or patch choice), […]


Continue.. Accept-reject decision-making revealed via a quantitative and ethological study of C. elegans foraging

Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Kavli Affiliate: Marcelo Mattar | Authors: Hua-Dong Xiong, Li Ji-An, Marcelo G Mattar and Robert C Wilson | Summary: Cognitive modeling provides a formal method to articulate and test hypotheses about cognitive processes. However, accurately and reliably estimating model parameters remains challenging due to common issues in behavioral science, such as limited data, measurement noise, […]


Continue.. Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Development of a Charge-Resistant Embedding Media for High-Performance Serial Block Face Imaging of Cells and Tissues

Kavli Affiliate: Mark Ellisman | Authors: Thomas Deerinck, Steven Peltier and Mark Ellisman | Summary: Serial block-face scanning electron microscopy (SBEM) enables high-resolution 3D imaging of biological specimens but is often limited by specimen charging due to the use of non-conductive epoxy resins. While heavy metal staining and variable-pressure SEM can reduce charging, these methods […]


Continue.. Development of a Charge-Resistant Embedding Media for High-Performance Serial Block Face Imaging of Cells and Tissues

Population-level morphological analysis of paired CO2- and odor-sensing olfactory neurons in D. melanogaster via volume electron microscopy

Kavli Affiliate: Mark Ellisman | Authors: Jonathan Choy, Shadi Charara, Kalyani Cauwenberghs, Quintyn McKaughan, Keun-Young Kim, Mark Ellisman and Chih-Ying Su | Summary: Dendritic morphology is a defining characteristic of neuronal subtypes. In Drosophila, heterotypic olfactory receptor neurons (ORNs) expressing different receptors display diverse dendritic morphologies, but whether such diversity exists among homotypic ORNs remains […]


Continue.. Population-level morphological analysis of paired CO2- and odor-sensing olfactory neurons in D. melanogaster via volume electron microscopy

Optimized Theta Burst Stimulation with Extended Intervals Enhances Excitatory-Inhibitory Balance

Kavli Affiliate: Dhakshin Ramanathan and Jyoti Mishra | Authors: Morteza Salimi, Milad Nazari, Jonathan Mishler, Jennifer Rodger, Sahar Jomehpour, Jyoti Mishra and Dhakshin Ramanathan | Summary: Varying inter-train intervals (ITIs) during theta burst stimulation (TBS) differentially modulates neuronal activity in the medial prefrontal cortex. Short ITIs (e.g., ITI 4 s) induce strong glutamatergic excitation but […]


Continue.. Optimized Theta Burst Stimulation with Extended Intervals Enhances Excitatory-Inhibitory Balance

Neuroticism Heterogeneity Through Item-Level Associations in Resting-State Functional Connectivity

Kavli Affiliate: Wesley Thompson | Authors: Masaya Misaki, Chun Chieh Fan, Wesley K Thompson, Heekyeong Park, Bohan Xu and Martin M Paulus | Summary: Neuroticism is characterized by emotional instability and increased susceptibility to stress-related disorders. While traditionally treated as a unitary construct, growing evidence suggests that neuroticism is heterogeneous in both its genetic basis […]


Continue.. Neuroticism Heterogeneity Through Item-Level Associations in Resting-State Functional Connectivity

FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets

Kavli Affiliate: Anders Dale and Wesley Thompson | Authors: Pravesh Parekh, Nadine Parker, Diliana Pecheva, Evgeniia Frei, Marc Vaudel, Diana M. Smith, Alison Rigby, Piotr Jahołkowski, Ida Elken Sønderby, Viktoria Birkenæs, Nora Refsum Bakken, Chun Chieh Fan, Carolina Makowski, Jakub Kopal, Robert John Loughnan, Donald J. Hagler, Jr., Dennis van der Meer, Stefan Johansson, Pål […]


Continue.. FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets